Far-end crosstalk canceling method and device, and signal processing system

A method for remote crosstalk cancellation, includes: filtering, at a first transmitting end which is connected to a first receiving end over a first line, crosstalk source signals according to values of filtering parameters; synthesizing, at the first transmitting end, a first signal to be transmitted over the first line and the filtered crosstalk source signals; transmitting the synthesized signal from the first transmitting end to the first receiving end over the first line; receiving, at the first transmitting end, a noise statistic related value fed back from the first receiving end; and adjusting, at the transmitting end, the values of the filtering parameters according to the noise statistic related value. A corresponding device and a signal processing system for remote crosstalk cancellation are provided.

FIELD OF THE INVENTION

The present invention relates to the technical field of transmission and processing technologies of digital signals, and in particular to a far-end crosstalk canceling method and device, and a signal processing system.

BACKGROUND OF THE INVENTION

Digital Subscriber Lines (DSL) is point-to-point transmission technologies over a transmission medium of twisted pairs. The DSL provides an efficient and economic access to a broadband network. The DSL are also commonly referred to as xDSL, where “x” representing diffident kinds of digital subscriber line technologies. The xDSL generally includes Integrated Services Digital Network Digital Subscriber Lines (IDSL, ISDN DSL), Asymmetric Digital Subscriber Lines (ADSL), High-bit-rate Digital Subscriber Lines (HDSL), Very high data rate Digital Subscriber Lines (VDSL), etc. The various digital subscriber lines technologies are different from each other mainly in terms of signal transmission rate and distance. Except for the baseband transmission based IDSL, the xDSL generally coexists with the Plain Old Telephone Service (POTS) on the same twisted pair, where the POTS occupies the baseband part and the xDSL occupies the high frequency band for transmission independent of each other.

With the development of applications, requirements for the xDSL bandwidth become increasingly strict and the frequency band used for the xDSL also becomes higher accordingly, so that the crosstalk, especially the crosstalk at the high frequency band, becomes increasingly exacerbated. In the xDSL, a Digital Subscriber Line Access Multiplexer (DSLAM) is usually used to provide an access service for multiple branches of xDSL signals. Because the xDSL adopts frequency division multiplexing for uplink and downlink channels, a near-end crosstalk may not endanger considerably the system performance. However, a far-end crosstalk may influence seriously the transmission performance of lines. When an xDSL service is required to be enabled for multiple branches of users over a bundle of cables, some lines may have a low speed, unstable performance and even may be unable to function due to the far-end crosstalk, which may eventually result in a low line activation ratio of the DSLAM.

FIG. 1illustrates a schematic diagram of a far-end crosstalk, where x1, x2and x3denote signal transmitting points, y1, y2and y3denote corresponding far-end signal receiving points, solid line arrows denote normal signal transmission, and dotted line arrows denote a crosstalk caused by a signal transmitting points to far-end receiving points corresponding to other signal transmitting points. As can be seen fromFIG. 1, signals to be transmitted at the points x2and x3are crosstalk sources for those at the point x1, and naturally, signals to be transmitted at the point x1are crosstalk sources for those at the points x2and x3. Therefore, for clarity, a branch of signals to be transmitted is described as a reference object while regarding other signals as their crosstalk sources hereinafter. Such descriptions can be adaptive to respective branches of signals. Distinguishing names used for signals are merely for convenience, but not intended to differentiate the signals substantively.

In order to address the problem of the degraded channel performance due to the far-end crosstalk, a method of coordinated signal processing was proposed in the industry to cancel a far-end crosstalk among respective branches of signals by use of the feature of coordinated transmission and reception at the DSLAM end. At present, the signals are processed with a fixed filter in the frequency domain based upon such a principle that crosstalk cancellation calculations are performed on the premise that a channel transmission matrix has been pre-known. For coordinated reception of signals, this method frequency domain filters respective frequency points of received signals according to the pre-known channel transmission matrix, and then estimates input channel signals in a general decision feedback equalization method. The essence of the method lies in that: because the channel transmission matrix is known, the relationship between crosstalk components in the received signals and a crosstalk source may be deduced, so that received signals corresponding to the crosstalk source can be used to approximately simulate the crosstalk source, thereby implementing a crosstalk cancellation at the coordinated receiving end. On the other hand, for coordinated transmission of signals, the method is similar to that for coordinated reception except that the signals are pre-coded in the frequency domain before transmission instead of processing the signals undergoing a crosstalk, to pre-cancel a crosstalk which may occur. Therefore, the receiving end receives the signals from which the crosstalk has been canceled.

The above method has a disadvantage in that the channel transmission matrix has to be pre-known, but the matrix may be difficult to be obtained accurately and conveniently. In addition, the matrix per se features slowly time-varying and may be susceptible to a transmission environmental factor. Consequently, the above solution may be difficult to implement in practice.

SUMMARY OF THE INVENTION

Embodiments of the present invention are directed to providing a far-end crosstalk canceling method, a far-end crosstalk canceling device and a signal processing system, so as to solve the problem of canceling far-end crosstalk for coordinated transmitting signals.

In order to solve the above technical problem, an embodiment of the present invention provides a far-end crosstalk canceling method including: (1) filtering crosstalk source signals of signals to be transmitted according to values of filtering parameters; (2) synthesizing the signals to be transmitted and the filtered crosstalk source signals and transmitting the synthesized signals; (3) receiving a noise statistic related value fed back from a receiving end corresponding to the signals to be transmitted; and (4) selecting a direction to reduce the noise statistic according to the noise statistic related value to adjust the values of the filtering parameters.

An embodiment of the present invention further provides a far-end crosstalk canceling device including a first set of filters, a signal synthesis module and a feedback receiving module.

The first set of filters includes a plurality of adaptive filters configured to: filter crosstalk source signals of signals to be transmitted, select a direction to reduce the noise statistic according to a noise statistic related value received by the feedback receiving module, and adjust parameters of the adaptive filters according to the direction to reduce the noise statistic.

The signal synthesis module is configured to synthesize the signals to be transmitted with the crosstalk source signals filtered by the first set of filters.

The feedback receiving module is configured to receive the noise statistic related value fed back from a receiving end corresponding to the signals to be transmitted.

An embodiment of the present invention further provides a signal processing system including a signal transmitting device and a signal receiving device.

The signal transmitting device includes a first set of filters, a signal synthesis module and a feedback receiving module.

The first set of filters includes a plurality of adaptive filters configured to filter crosstalk source signals of received signals to be transmitted and select a direction to reduce a noise statistic according to a noise statistic related value received by the feedback receiving module to adjust parameters of the adaptive filters.

The signal synthesis module is configured to synthesize the signals to be transmitted and the crosstalk source signals filtered by the first set of filters.

The feedback receiving module is configured to receive the noise statistic related value fed back from a receiving end corresponding to the signals to be transmitted.

The signal receiving device includes a receiving and processing unit, a noise statistic unit and a feedback transmitting unit.

The receiving and processing unit is configured to receive the signals transmitted from the signal transmitting device.

The noise statistic unit is configured to make a noise statistic of the signals received by the receiving and processing unit and generate the noise statistic related value.

The feedback transmitting unit is configured to transmit the noise statistic related value generated by the noise statistic unit to the signal transmitting device over a feedback channel.

According to the embodiments of the present invention, coordinated transmitting signals are pre-coded for crosstalk cancellation in an adaptive filtering way, and an adaptive variation of the filtering parameter values is directed properly in view of an influence of crosstalk components in the received signals, the influence being reflected indirectly by the noise statistic related value reported from the receiving end. Theoretical and simulation experiential studies demonstrate good convergence and crosstalk cancellation effects to avoid the difficulty with pre-knowing a channel transmission matrix in the existing fixed filter solution; and also an impact on an existing transmission standard in an xDSL application can be totally avoided because the existing receiving end can report the noise statistic related value of some types already provided in the existing standard over an Embedded Operations Channel (EOC).

The present invention is further described in detail below by way of the embodiments with reference to the drawings.

DETAILED DESCRIPTION OF THE INVENTION

An embodiment of the present invention provides a far-end crosstalk canceling method, in which coordinated transmitting signals for crosstalk cancellation are pre-coded in an adaptive filtering way, and values of adaptive filtering parameters are adjusted according to a noise statistic related value that is fed back from a receiving end. The method includes general steps as illustrated inFIG. 2.

A1. Crosstalk source signals for signals to be transmitted are filtered according to values of filtering parameters.

It shall be noted that the crosstalk source signals for the signals to be transmitted are filtered according to initial values of the filtering parameters in the first filtering process, and may be filtered according to adjusted values of the filtering parameters in the subsequent filtering process.

The filtering process may be performed in the frequency domain to filter components of the crosstalk source signals over respective sub-carriers, or may be performed in the time domain to perform overall time-domain filtering, with the multi-carrier modulated signals treated as general signals. The initial values of the filtering parameter may be designated values, e.g., zero, or may be generated randomly.

A2. The signals to be transmitted and the filtered crosstalk source signals are synthesized and then transmitted.

In this step, the filtered crosstalk source signals are integrated into the signals to be transmitted by additive or subtractive synthesis. In the case of time-domain filtering, the signals to be transmitted and the filtered crosstalk source signals may undergo time-domain synthesizing. In the case of frequency-domain filtering, the components of the signals to be transmitted and the filtered crosstalk source signals over the sub-carriers may be synthesized respectively.

A3. Noise statistic related values fed back from a receiving end that corresponds to the signals to be transmitted are received.

The noise statistic related values as referred to in this text mean broadly, and any statistic value which can reflect noise components in the received signals can be used as a noise statistic related value. For example, the noise statistic related value may include a numerical value of the noise statistic, a difference between two adjacent noise statistics, a sign of the difference between two adjacent noise statistics, etc. The noise statistic related value and the noise statistic may be in a positive or negative correlation. In an xDSL application, a parameter of signal-to-noise ratio of the received signals may be selected as a noise statistic related value. The higher the signal-to-noise ratio is, the lower the noise is. Because the existing transmission standard can directly provide a parameter signal-to-noise ratio for each sub-carrier, the feedback can be obtained without modifying the existing transmission standard. Furthermore, if only a sign of a difference is used as the feedback, only one bit (with two states respectively indicating increment, no change or decrement of the noise statistic) or two bits (with three states respectively indicating increment, no change or decrement of the noise statistic) may be used for the feedback, which can reduce the amount of feedback data greatly and reduce requirements on an Embedded Operations Channel (EOC).

A4. The values of the filtering parameters are adjusted according to the noise statistic related values, as the noise statistic reduces.

Among factors influencing the noise statistic, noise components except the crosstalk component, e.g., the space-related noise and the environmental noise, are independent of the values of the filtering parameters and may be regarded as an expected response. Therefore, a variation of the noise statistic with the values of the filtering parameters can reflect indirectly a variation of the crosstalk component in the received signals with the values of the filtering parameters, and accordingly it is effective to cancel the crosstalk by adjusting the values of the filtering parameters according to the variation of the noise statistic. Moreover, a theoretical research on a relationship between a noise statistic and parameters of an adaptive filter shows that the noise statistic is a quadratic function of values of the filtering parameters. Therefore, a convergence result may be obtained by adjusting the values of the filtering parameters as the noise statistic reduces.

Embodiments of the present invention further provide a far-end crosstalk canceling device, a signal transmitting device and a signal processing system. Various recommended time-domain and frequency-domain filtering models and methods for adjusting values of filtering parameters are described as below by way of the method embodiments, and the embodiments of the device and system according to the present invention are described in detail.

The first embodiment provides a far-end crosstalk canceling method, an implementation flow chart of which is illustrated inFIG. 3. Time-domain adaptive filtering is adopted in the method according to this embodiment, and the method includes the following steps.

B1. Crosstalk source signals for signals to be transmitted are time-domain filtered according to values of filtering parameters, as illustrated inFIG. 4.

InFIG. 4, a branch of signals x1serves as signals to be transmitted, and only branches of signals x2and x3are shown as crosstalk to the branch of signals x1. Only filters w12and w13for time-domain filtering the branches of signals x2and x3are depicted to reflect filtering of crosstalk sources (this also applies to the embodiments below). Apparently, this signal processing model may be extended to respective branches of signals. For example, in this embodiment, filters w21and w23(not shown) may be added for filtering the branches of signals x1and x3which are used as crosstalk sources for the branch of signals x2. In this case, a feedback required by the filters w21and w23is a statistic from the end y2.

B2. The signals to be transmitted are firstly time-domain filtered, then synthesized with the time-domain filtered crosstalk source signals, and the resultant synthesized signals are transmitted.

In order to enhance adjustability of lines, such as to change a gain of the signals to be transmitted, in this embodiment the signals to be transmitted are firstly time-domain filtered by the filter w11before being synthesized with the branches of time-domain filtered crosstalk source signals. This filter also receives a feedback from the end y1.

B3. Noise statistic related values fed back from a receiving end that corresponds to the signals to be transmitted are received.

The end y1performs a reception processing on receiving the signals and then feeds back the noise statistic related values obtained by taking a statistic, typically via an EOC channel in the xDSL.

B4. The values of the filtering parameters are adjusted according to the noise statistic related values, as the noise statistic reduces.

In this embodiment, the values of the filtering parameters to be adjusted are values of filtering parameters of the adaptive time-domain filters w11, w12and w13. As apparent from the quadratic function relationship between the values of the filtering parameters and the noise statistic, there exists a filtering parameter minimizing the noise statistic, and the filtering parameter may be regarded as a target value which is optimal to cancel a crosstalk. Therefore, the target values of the filtering parameters can be calculated by various mathematic operation means. Several preferred parameter adjusting methods are given below in connection with practical applications. Methods for adjusting values of filtering parameters are described below, and these descriptions will not be limited to any filter or any kind of filters but will be applicable to any filter, provided that its filtering parameters can be adjusted as the noise statistic reduces.

The first adjusting method is a gradient estimation decision iterative solution.

This solution is primarily based upon the quadratic function relationship between the values of the filtering parameters and the noise statistic. In a multi-dimension space consisting of several sets of filtering parameter values to be adjusted, the noise statistic is like a “hyper-bowl”, and the values of the filtering parameters are adjusted for the purpose of reaching the bottom of the “hyper-bowl.” With the assumption of a start from any point on the “hyper-bowl”, several gradient vectors are selected as estimates of the next step, to make respective attempts and determine feedbacks of the attempts, so that a gradient vector with the closest approximation to the direction to the bowl bottom can be selected from these estimates. Then the process is repeated step by step, and a result of convergence at the bowl bottom can be obtained only if an accuracy of the selection is above 50%. Steps of this method are described in detail below.

1.1 The value of a current filtering parameter is iterated respectively with several gradient vectors. The following formula may be used for iteration to improve the accuracy of gradient vector estimation.
w(n+1)=w(n)+λ×sign[e(n)]×u(n)
where w(n+1) and w(n) respectively denote the values of filtering parameter after and before the (n+1)thiteration, λ denotes a selected step, sign[e(n)] denotes a sign of an estimated noise error, and u(n) denotes an input signal being filtered using w(n). The sign[e(n)]×u(n) denotes a gradient vector, which depends on sign[e(n)]. The u(n) may be in different forms of data depending on different types of adaptive filters. For example, u(n) denotes a matrix of L rows and M columns if a block Least Mean Square (LMS) filter with an order M and a length L is used, or denotes an M-dimension vector if a general LMS filter with an order M is used.

It shall be noted that the above iterative formula provides a large number of candidate iterative values as values of filtering parameters that can be used for attempts. For example, if the input u(n) is a data block with a length L, 2Lcandidate iterative values may be generated because of two signs + and − of sign[e(n)]. It is possible in practical application to select only part of all the possible scenarios as candidate iterative values to improve a search speed.

1.2 The gradient vector that minimizes the noise statistic is decided from the noise statistic related value corresponding to the iterated sets of filtering parameter values fed back from the receiving end.

Ideally, the gradient vector decided from the fed-back noise statistic related value is generally correct, but a decision error may arise due to an additional influence of statistic non-stationarity, which may possibly occur with the noise in practice. However, an accuracy of the decision over 50% is sufficient to eventually obtain a convergence result regardless of a possible devious route passing at a “hyper-bowl” surface. The accuracy may be improved by increasing the step appropriately in an adaptive filter principle.

1.3 The values of the filtering parameters iterated with the decided gradient vector are used as the current values of the filtering parameters.

1.4 The above iterative process is repeated until the values of the filtering parameters converge.

The above adjusting method adjusts the filtering parameters under the same feedback control in a multi-value estimation and feedback decision way. Another method for adjusting values of filtering parameters according to a feedback is further given below.

The second method is an optimal value search solution.

This solution is primarily based upon that: a noise statistic appears as a simple quadratic curve for a set of filtering parameters, an optimal value of the set of filtering parameters corresponding to a minimum value of the curve can be searched conveniently with the assumption that other sets of filtering parameters keep constant, and a convergence result can be obtained if the optimal value search process is repeated respectively for each set of filtering parameters. Steps of this method are described in detail as below.

2.1 Values of other sets of filtering parameters except one set of filtering parameters to be adjusted are fixed.

2.2 Update values of the filtering parameters to be adjusted to reduce the noise statistic are searched according to the noise statistic related values fed back from the receiving end. The update values are approximation to the optimal value in the practical search, and two methods for searching for update values are presented below.

2.2.1 A method with a varying step in a single search process includes the steps as follows.

2.2.1.1 Variations of the noise statistic reflected by the noise statistic related values fed back from the receiving end are compared with each other in the case that the values of the filtering parameters to be adjusted are respectively w+λ, w, and w−λ; where w denotes the values of the filtering parameters to be adjusted before adjusting, and λ denotes a selected step.

2.2.1.2 If the values corresponding to the minimum noise statistic are w, the step λ is reduced, typically to a half of the previous step, for further comparison until the values corresponding to the minimum noise statistic are other than w, and these values corresponding to the minimum noise statistic are used as update values of the filtering parameters to be adjusted.

2.2.2 A method with a fixed step in a search process requires that the fed-back noise statistic related value is a numerical value of the noise statistic and includes the steps as follows.

2.2.2.1 A directive search for the values of the filtering parameters to be adjusted is made with a selected step λ, and the search direction is changed in the case of an incremental variation of a numerical value of the noise statistic.

2.2.2.2 The last three search values of the filtering parameters to be adjusted are recorded if a decremented variation of the numerical value of the noise statistic changes to an incremental variation of the noise statistic between two adjacent search processes.

2.2.2.3 A curve illustrating the functional relationship between the values of the filtering parameters to be adjusted and the numerical value of the noise statistic is fitted according to the last three search values of the filtering parameters to be adjusted and the numerical value of the noise statistic corresponding to the last three search values, and the filtering parameter values corresponding to the minimum noise statistic are estimated as update values of the filtering parameters to be adjusted according to the fitted curve. Various fitting method may be adopted because there are three pairs of function values. For example, quadratic curve fitting may be adopted, in which the lowest point of the fitted curve may be used as an estimate of the update values. Calculations in this method may be difficult in the case that the filtering parameters are multi-order vectors. Therefore, the following linear fitting formula is recommended to calculate the update values in view of the accuracy and speed of calculations.

2.3 The searched update values are used as the current values of the filtering parameters to be adjusted, and the above process proceeds to search for update values of each remaining set of filtering parameters.

2.4 The above cyclic search processes are repeated until each set of values of filtering parameters converges. If the method with a fixed step in 2.2.2 is adopted in the step 2.2, the step λ is shortened to typically 1/1.5 of the original step in order to search for the values of the filtering parameters to be adjusted in the next cyclic search process.

A second embodiment provides another far-end crosstalk canceling method, and an implementation flow of the method according to this embodiment is substantially the same as that of the method described in the first embodiment except that in this embodiment the signals to be transmitted are firstly filtered with a delay before synthesis of the signals to be transmitted with the time-domain filtered crosstalk source signals.FIG. 5illustrates a schematic diagram of signal processing.

FIG. 5is different fromFIG. 4in that the adaptive filter w11inFIG. 4is replaced with a delay filter. The delay filter may be regarded as one kind of time-domain filters. The delay filter is arranged to integrate the signals to be transmitted into the filtered crosstalk source signals at an appropriate time, so that pre-coding of the signals can cancel properly the far-end crosstalk caused at that time by the crosstalk sources when the signals arrives at the receiving end. A delay amount mainly depends upon a specific operating environment of lines and the number of orders of the adaptive filter in use. Therefore, it is unnecessary to adjust the delay filter according to a feedback from the end y1. This method is advantageous due to simplified processing when a user becomes active and inactive. When a new user line is added, for example, if a user line x1becomes active while assuming previous presence of only user lines x2and x3, only w12and w13need to be updated without any influence on other filters associated with the user lines x2and x3. When a user exits, for example, if the user line x1exits, only w12and w13need to be disabled without any influence on the other users.

Reference can be made to the methods provided in the first embodiment for specific adjustment of filtering parameter values of the remaining adaptive time-domain filters.

A third embodiment provides another far-end crosstalk canceling method, an implementation flow of which is as illustrated inFIG. 6. The method of this embodiment adopts adaptive frequency-domain filtering and includes the steps as follows.

C1. Crosstalk source signals for signals to be transmitted undergo frequency-domain filtering according to values of filtering parameters, i.e., components of the crosstalk source signals over respective sub-carriers are filtered respectively.

Frequency-domain filtering is equivalent to multiplication of the components of the signals over the sub-carriers by complex coefficients, and the complex coefficients each have a modulus indicating a gain over a frequency band and a phase angle indicating a leading or lag phrase response over the frequency band.

FIG. 7illustrates a schematic diagram of signal processing. InFIG. 7, a signal to be transmitted x1and crosstalk source signals x2and x3can be regarded in the frequency domain as being borne respectively over a number n of sub-carriers TONE1to TONE n. The crosstalk sources are filtered according to the frequency-domain filters w12and w13over each frequency band. The w12and w13may possibly denote different complex coefficients for different frequency bands, and “wij” is used throughout the context to denote cancellation filtering of a crosstalk of the jthcrosstalk source to the ithbranch of signals.

C2. Components of the signals to be transmitted over the sub-carriers undergo firstly frequency-domain filtering, then are synthesized with the components of the crosstalk source signals over the corresponding sub-carriers and then transmitted.

In order to improve the performance of lines, in this embodiment the frequency-domain components of the signals to be transmitted are firstly filtered by the frequency-domain filter w11before synthesis of the frequency-domain components of the signals to be transmitted with the frequency-domain components of the filtered crosstalk source signals. Indeed, the filter may receive a feedback from the end y1.

For such multi-carrier modulated signals, the carries of the signals are typically modulated into a branch of time-domain signals by Inverse Fast Fourier Transformation (IFFT) for transmission. Therefore, the synthesized frequency-domain components shall be frequency-to-time transformed before transmission.

C3. A noise statistic related value fed back from the receiving end corresponding to the signals to be transmitted is received.

The noise statistic related value shall be fed back to each of the filters of the sub-carriers, including filters of the crosstalk source and filters of the signals to be transmitted. Particularly, if the noise statistic related value includes components corresponding to the respective frequency bands, e.g., signal-to-noise ratios of the sub-carriers, the components of the noise statistic related value corresponding to the frequency band may be fed back correspondingly to the filters of the frequency bands.FIG. 7depicts only a feedback to the filter for TONE1for simplicity, but this may apply to the other frequency bands.

C4. A direction to reduce the noise statistic is selected according to the noise statistic related value, and the values of the filtering parameters are adjusted according to the selection result.

A fourth embodiment provides another far-end crosstalk canceling method, and a flow of the method according to this embodiment is substantially the same as that in the third embodiment except that in this embodiment the components of the signals to be transmitted over the sub-carriers respectively are synthesized with the components of the crosstalk source signals undergoing frequency-domain filtering over the corresponding sub-carriers, and then the synthesized signals undergo frequency-domain filtering, instead of performing frequency-domain filtering on the components of the signals to be transmitted over the sub-carriers before synthesis of the components.FIG. 8illustrates a schematic diagram of signal processing according to this embodiment of the method.

FIG. 8is different fromFIG. 7in that the filter w11inFIG. 7over the line x1before synthesis is changed to a line after synthesis. This method is advantageous in that if a new user line is added, for example, if a user line x3is added while assuming previous presence of only user lines x1and x2, only w13and w11need to be updated without need of updating any other filters. If a user quits, for example, if the user line x3quits, w13is disabled and only w11needs to be updated. This method can facilitate getting active or inactive of a user and reduce as much as possible the influence on other users in the case of a large number of users.

Embodiments of the device and system according to the present invention are described in detail as below.

A fifth embodiment provides a far-end crosstalk canceling device with a structure as illustrated schematically inFIG. 9. The far-end crosstalk canceling device includes a first set of filters101, a signal synthesis module102, and a feedback receiving module103.

The first set of filters101includes several adaptive filters w, configured to filter crosstalk source signals of signals to be transmitted, select a direction to reduce a noise statistic according to a noise statistic related value received by the feedback receiving module103, and adjust parameters of the adaptive filters w.

The signal synthesis module102is configured to synthesize the signals to be transmitted with the crosstalk source signals filtered by the first set of filters101.

The feedback receiving module103is configured to receive the noise statistic related value fed back from a receiving end corresponding to the signals to be transmitted.

The crosstalk canceling device of this embodiment may be configured in an xDSL DSLAM to pre-code coordinated transmitting signals from the xDSL DSLAM for crosstalk cancellation.

Preferably, the crosstalk canceling device may further include a second adaptive time-domain filter, configured to time-domain filter the signals to be transmitted before the signals to be transmitted enter the signal synthesis module, and select the direction to reduce the noise statistic according to the noise statistic related value received by the feedback receiving module to adjust values of the filtering parameters.

A sixth embodiment provides a signal transmitting device with a structure as illustrated schematically inFIG. 10. The signal transmitting device includes a crosstalk canceling unit100integrated in the signal transmitting device and a signal transmitting unit200.

In particular, the signal transmitting device of this embodiment may include several crosstalk canceling units100configured to pre-code several branches of signals to be transmitted for crosstalk cancellation, and the crosstalk canceling units100each may be structured as the crosstalk canceling device in the fifth embodiment, and reference can be made to the above description for details without being repeated here. In the device of this embodiment, a branch of input signals may be signals to be transmitted for a crosstalk canceling unit. However, the branch of input signals may be crosstalk source signals input for other crosstalk canceling units.

The signal transmitting unit200is configured to transmit the signals synthesized by the signal synthesis modules102of the crosstalk canceling unit100to the receiving end.

A seventh embodiment provides another signal transmitting device with a structure as illustrated schematically inFIG. 11. The signal transmitting device includes a digital signal input unit300, a crosstalk canceling unit400, and a signal transmitting unit500.

The digital signal input unit300is configured to output signals to be transmitted and crosstalk source signals of the signals to be transmitted.

The crosstalk canceling unit400includes a first set of filters401, a signal synthesis module402, a feedback receiving unit403and a second adaptive time-domain filter404.

The first set of filters401includes several adaptive time-domain filters configured to time-domain filter the crosstalk source signals of the signals to be transmitted output from the digital signal input unit300respectively, select a direction to reduce a noise statistic according to a noise statistic related value received by the feedback receiving module403, and adjust the values of filtering parameters.

The signal synthesis module402is configured to synthesize the transmitting signals with the crosstalk source signals undergoing time-domain filtering by the first set of filters401.

The feedback receiving module403is configured to receive the noise statistic related value fed back from a receiving end corresponding to the signals to be transmitted.

The second adaptive time-domain filter404is configured to perform time-domain filtering on the signals to be transmitted before the signals to be transmitted enter the signal synthesis module402, and select the direction to reduce the noise statistic according to the noise statistic related value received by the feedback receiving module403to adjust the values of the filtering parameters.

The signal transmitting unit500is configured to transmit the signals synthesized by the signal synthesis module402to the receiving end.

For clarity,FIG. 11in this embodiment illustrates a schematic diagram of a signal transmitting device including the digital signal input unit300, the crosstalk canceling unit400and the signal transmitting unit500. Apparently, just like the sixth embodiment, crosstalk canceling units may be arranged for respective branches of input signals in the crosstalk canceling device of this embodiment.

Functions and operations of the respective units, modules and filters in the signal transmitting device of this embodiment may be implemented as in the corresponding steps of the far-end crosstalk canceling method in the first embodiment and the corresponding descriptions are not repeated here.

An eighth embodiment provides another signal transmitting device as illustrated inFIG. 12. The signal transmitting device includes a digital signal input unit300, a crosstalk canceling unit600, and a signal transmitting unit500.

The signal transmitting device of this embodiment is structured substantially the same as that in the seventh embodiment except that a delay filter604in the crosstalk canceling unit600of this embodiment replaces the second adaptive time-domain filter404of the crosstalk canceling unit400in the seventh embodiment. The delay filter604is configured to delay the signals to be transmitted before the signals to be transmitted enter the signal synthesis module402, so that it is unnecessary to obtain any feedback signal received by the feedback receiving module403.

Functions and operations of the respective units, modules and filters in the signal transmission device of this embodiment may be implemented as in the corresponding steps of the far-end crosstalk canceling method in the second embodiment and the corresponding descriptions are not repeated here.

A ninth embodiment provides another signal transmitting device as illustrated inFIG. 13. The signal transmitting device includes a digital signal processing unit700and a signal transmitting unit800.

The digital signal processing unit700includes a modulating unit710, a crosstalk canceling unit720and a signal output unit730.

The modulating unit710is configured to modulate components of signals to be transmitted and crosstalk source signals of the signals to be transmitted over respective sub-carriers.

The crosstalk canceling sub-unit720includes a first set of filters721, a signal synthesis module722, a feedback receiving unit723and a second adaptive frequency-domain filter724.

The first set of filters721includes several adaptive frequency-domain filters configured to frequency-domain filter the components of the crosstalk source signals of the signals to be transmitted output from the modulating unit710over respective sub-carriers, and select a direction to reduce a noise statistic according to a noise statistic related value received by the feedback receiving module723to adjust the values of filtering parameters.

The signal synthesis module722is configured to synthesize components of the signals to be transmitted over respective sub-carriers respectively with the components of the crosstalk source signals, which undergo frequency-domain filtering by the first set of filters712, over the corresponding sub-carriers.

The feedback receiving module723is configured to receive the noise statistic related value fed back from a receiving end corresponding to the signals to be transmitted.

The second adaptive frequency-domain filter724is configured to perform frequency-domain filtering on the components of the signals to be transmitted over the sub-carriers before the components of the signals to be transmitted over the sub-carriers enter the signal synthesis module722, and select a direction to reduce the noise statistic according to the noise statistic related value received by the feedback receiving module723to adjust the values of the filtering parameters.

The signal output unit730is configured to perform Inverse Fast Fourier Transformation on the components over the sub-carriers synthesized by the signal synthesis module722and to output time-domain signals.

The signal transmitting unit800is configured to transmit the time-domain signals output from the signal output unit730to the receiving end.

Functions and operations of the respective units, modules and filters in the signal transmitting device of this embodiment may be implemented as in the corresponding steps of the far-end crosstalk canceling method in the third embodiment and the corresponding descriptions are not repeated here.

A tenth embodiment provides another signal transmitting device structured as illustrated schematically inFIG. 14. The signal transmitting device includes a modulating unit710, a crosstalk canceling unit920and a signal output unit730integrated in a digital signal processing unit900, and a signal transmitting unit800.

The signal transmitting device of this embodiment is structured substantially the same as in the ninth embodiment except that the second adaptive frequency-domain filter in this embodiment filters the frequency-domain components of the signals after synthesis of the frequency-domain components instead of before the synthesis of the frequency-domain components. In this embodiment, the second adaptive frequency-domain filter924in the crosstalk canceling unit920of the digital signal processing unit900is arranged between the signal synthesis module722and the signal output unit730, and is configured to perform frequency-domain filtering on the signals undergoing frequency-domain synthesizing output from the signal synthesis module722, and then output them to the signal output sub-unit730. Indeed, the second adaptive frequency-domain filter924may also obtain a feedback signal received by the feedback receiving unit723and adjust adaptively the values of the filtering parameters.

Functions and operations of the respective units, modules and filters in the signal transmission device of this embodiment may be implemented as in the corresponding steps of the far-end crosstalk cancellation method in the fourth embodiment and the corresponding descriptions are not repeated here.

A eleventh embodiment provides a signal processing system structured as illustrated schematically inFIG. 15. The signal processing system includes a signal transmitting device1and a signal receiving device2.

The signal transmitting device1may be structured particularly as in the sixth to tenth embodiments, and the structure of the signal transmitting device in the seventh embodiment is adopted inFIG. 15of this embodiment for clarity.

The signal receiving device2includes a receiving and processing unit21, a noise statistic unit22and a feedback transmitting unit23.

The receiving and processing unit21is configured to receive the signals transmitted from the signal transmitting device1.

The noise statistic unit22is configured to make a noise statistic of the signals received by the receiving and processing unit21and generate the noise statistic related value.

The feedback transmitting unit23is configured to transmit the noise statistic related value generated by the noise statistic unit22to the signal transmitting device1over a feedback channel.

It shall be noted that the functions and operations of the far-end crosstalk canceling device are the same as those of the respective devices or modules in the crosstalk canceling unit.

The far-end crosstalk canceling method and the corresponding far-end crosstalk canceling device, signal transmitting device and signal processing system according to the present invention have been described in detail as above, the principle and embodiments of the present invention have been set forth in the context by way of specific examples, and the above descriptions of the embodiments are provided merely to facilitate understanding of the inventive method the essential idea thereof. Those ordinarily skilled in the art can modify the embodiments and application scopes without departing from the scope of the present invention. Accordingly, the discourse of the specification shall not be taken in any way to limit the scope of the present invention as defined in the appended claims.