Patent Abstract:
Various embodiments of the present invention provide systems and methods for updating detector parameters in a data processing circuit. For example, a data processing circuit is disclosed that includes a first detector circuit, a second detector circuit, and a calibration circuit. The first detector circuit is operable to receive a first data set and to apply a data detection algorithm to the first data set, and the second detector circuit is operable to receive a second data set and to apply the data detection algorithm to the second data set. The calibration circuit is operable to calculate a data detection parameter based upon a third data set. The data detection parameter is used by the first detector circuit in applying the data detection algorithm to the first data set during a period that the data detection parameter is used by the second detector circuit in applying the data detection algorithm to the second data set.

Full Description:
BACKGROUND OF THE INVENTION 
       [0001]    The present inventions are related to systems and methods for performing data calibration in an out of order data processing system. 
         [0002]    Various data transfer systems have been developed including storage systems, cellular telephone systems, and radio transmission systems. In each of the systems data is transferred from a sender to a receiver via some medium. For example, in a storage system, data is sent from a sender (i.e., a write function) to a receiver (i.e., a read function) via a storage medium. The effectiveness of any transfer is impacted by any data losses caused by various factors. In some cases, an encoding/decoding process is used to enhance the ability to detect a data error and to correct such data errors. As an example, a simple data detection and decode may be performed, however, such a simple process often lacks the capability to converge on a corrected data stream. 
         [0003]    To heighten the possibility of convergence, various existing processes utilize two or more detection and decode iterations. Such an approach assures that at least two detection and decoding processes are applied to each presented data set. However, such an approach absolutely requires two iterations for each input data set that is introduced. This may waste significant power and introduce unnecessary latency where the input is capable of converging in a single iteration. Further, in some cases two iterations is insufficient to result in a convergence. Thus, such an approach is both wasteful in some conditions and insufficient in other conditions. 
         [0004]    Hence, for at least the aforementioned reasons, there exists a need in the art for advanced systems and methods for data processing. 
       BRIEF SUMMARY OF THE INVENTION 
       [0005]    The present inventions are related to systems and methods for performing data calibration in an out of order data processing system. 
         [0006]    Various embodiments of the present invention provide data processing circuits. Such data processing circuits include a first detector circuit, a second detector circuit, and a calibration circuit. The first detector circuit is operable to receive a first data set and to apply a data detection algorithm to the first data set, and the second detector circuit is operable to receive a second data set and to apply the data detection algorithm to the second data set. The calibration circuit is operable to calculate a data detection parameter based upon a third data set. The data detection parameter is used by the first detector circuit in applying the data detection algorithm to the first data set during a period that the data detection parameter is used by the second detector circuit in applying the data detection algorithm to the second data set. In various instances of the aforementioned embodiments, the data processing circuit further includes a decoding circuit that is operable to: receive a first detected output from the first detector circuit, apply a decoding algorithm to the first detected output, and to provide the second data set; and receive a second detected output from the second detector circuit, apply a decoding algorithm to the second detected output, and to provide a fourth data set. 
         [0007]    In some instances of the aforementioned embodiments, the circuit further includes a memory that is operable to store the data detection parameter. In some such cases, the first detector circuit is operable to receive the data detection parameter directly from the calibration circuit, and the second detector circuit is operable to receive the data detection parameter directly from the memory. In one or more cases, the first detector circuit begins processing the first data set before the second detector circuit begins processing the second data set. 
         [0008]    In various instances of the aforementioned embodiments, the first detector circuit applies the detection algorithm to the second data set before the second detector circuit applies the detection algorithm to the second data set. In such cases, the data processing circuit is an out of order data processing circuit that is capable of finishing processing of the first data set before the second data set. 
         [0009]    In one or more embodiments of the present invention, the calibration circuit includes a noise predictive finite impulse response filter. In some instances of the aforementioned embodiments, the calibration circuit adaptively calculates the data detection parameter based upon the third data set and at least one preceding data set. The at least one preceding data set may include the first data set, the second data set, or both the first data set and second data set. 
         [0010]    Other embodiments of the present invention provide methods for updating detector parameters in a data processing circuit. The methods include calculating a data detection parameter based at least in part on a first data set; applying a data detection algorithm using a first data detector circuit to a second data set using the data detection parameter; applying the data detection algorithm using the first data detector circuit to a third data set; and applying the data detection algorithm using a second data detector circuit to the third data set using the data detection parameter during a period that the first data detector circuit applies the data detection algorithm to the second data set. Applying the data detection algorithm to the third data set by the first data detector circuit is done before applying the data detection algorithm to the second data set by the second detector circuit. 
         [0011]    In some instances of the aforementioned embodiments, calculating the data detection parameter is done by a calculation circuit, and the method further includes storing the data detection parameter in a memory. In such cases, the second detector circuit receives the data detection parameter from the memory, and the first detector circuit receives the data detection parameter directly form the calculation circuit. In some cases, the first detector circuit receives the data detection parameter directly from the calibration circuit, and the second detector circuit receives the data detection parameter directly from the memory. In particular cases, the first detector circuit begins applying the data detection algorithm to the second data set before the second detector circuit begins applying the data detection algorithm to the third data set. 
         [0012]    In various instances of the aforementioned embodiments, the methods further include applying a decoding algorithm by a decoder circuit to the third data set after applying the data detection algorithm by the first data detector circuit to the third data set, and before applying the data detection algorithm by the second data detector circuit to the third data set. In some instances of the aforementioned embodiments, the decoding algorithm is a low density parity check decoding algorithm, and the detection algorithm is either a Viterbi algorithm detection algorithm or a maximum a posteriori detector algorithm. 
         [0013]    Yet other embodiments of the present invention provide storage systems that include a storage medium; a read/write head assembly disposed in relation to the storage medium; and a read channel circuit. The storage medium stores a first data set, a second data set and a third data set. The read channel circuit is operable to receive the first data set, the second data set and the third data set via the read/write head assembly. The read channel circuit includes a first detector circuit, a second detector circuit and a calibration circuit. The first detector circuit is operable to receive the first data set and to apply a data detection algorithm to the first data set. The second detector circuit is operable to receive the second data set and to apply the data detection algorithm to the second data set. The calibration circuit is operable to calculate a data detection parameter based upon the third data set. The data detection parameter is used by the first detector circuit in applying the data detection algorithm to the first data set during a period that the data detection parameter is used by the second detector circuit in applying the data detection algorithm to the second data set. 
         [0014]    This summary provides only a general outline of some embodiments of the invention. Many other objects, features, advantages and other embodiments of the invention will become more fully apparent from the following detailed description, the appended claims and the accompanying drawings. 
     
    
     
       BRIEF DESCRIPTION OF THE DRAWINGS 
         [0015]    A further understanding of the various embodiments of the present invention may be realized by reference to the figures which are described in remaining portions of the specification. In the figures, like reference numerals are used throughout several figures to refer to similar components. In some instances, a sub-label consisting of a lower case letter is associated with a reference numeral to denote one of multiple similar components. When reference is made to a reference numeral without specification to an existing sub-label, it is intended to refer to all such multiple similar components. 
           [0016]      FIG. 1  shows a data processing circuit with out of order codeword processing circuitry and a feed forward calibration circuit in accordance with various embodiments of the present invention; 
           [0017]      FIG. 2  is a flow diagram showing a method in accordance with some embodiments of the present invention for distributing calibration data in an out of order data processing circuit; and 
           [0018]      FIG. 3  depicts a storage system including distributed calibration information in accordance with various embodiments of the present invention. 
       
    
    
     DETAILED DESCRIPTION OF THE INVENTION 
       [0019]    The present inventions are related to systems and methods for performing data calibration in an out of order data processing system. 
         [0020]    Turning to  FIG. 1 , a queuing detection and decoding circuit  100  including a feed forward calibration circuit is shown in accordance with various embodiments of the present invention. Queuing detection and decoding circuit  100  includes a data input  105  that is fed to a channel detector  109 . In some embodiments, data input  105  may be derived from a storage medium. In particular cases, data input  105  is provided as groups of data or data sets that are sometimes referred to as codewords. In the case of a hard disk drive, the received data sets may be sectors of data from the storage medium of the hard disk drive. Based upon the disclosure provided herein, one of ordinary skill in the art will recognize other sources for data input, and other data sets that may be processed in accordance with different embodiments of the present invention. 
         [0021]    Channel detector  109  may be any type of channel detector known in the art including, but not limited to, a soft output Viterbi algorithm detector (SOVA) or a maximum a posteriori (MAP) detector. Based on the disclosure provided herein, one of ordinary skill in the art will recognize a variety of channel detectors that may be used in accordance with different embodiments of the present invention. 
         [0022]    In addition, data input  105  is provided to a memory buffer  113  that is designed to hold a number of data sets received from data input  105 . The size of memory buffer  113  may be selected to provide sufficient buffering such that a data set provided via data input  105  remains available at least until a first iteration processing of that same data set is complete and the processed data is available in a queue buffer  149  as more fully described below. Memory buffer  113  provides the data sets to a channel detector  117 . Similar to channel detector  109 , channel detector  117  may be any type of channel detector known in the art including, but not limited to, a SOVA detector or a MAP detector. Again, based on the disclosure provided herein, one of ordinary skill in the art will recognize a variety of channel detectors that may be used in accordance with different embodiments of the present invention. 
         [0023]    Additionally, data input  105  is provided to a feed forward calibration circuit that includes a calibration circuit  196  and a memory  194 . Data sets provided via data input  105  are processed by calibration circuit  196  as is known in the art. In some embodiments of the present invention, calibration circuit  196  includes a noise predictive finite impulse response filter and a variance calibration training circuit as are known in the art. Calibration circuit  196  estimates the parameters used to compute the branch metrics of channel detector  109 . These calculated parameters are referred to as data detection parameters. The data detection parameters are loaded into channel detector  109  at the end of each data set being processed by channel detector  109 , and are used in performing detection of the subsequent data set received by channel detector  109  via input data  105 . In addition, the calculated parameters are loaded into memory  194  at the end of each data set being processed by calibration circuit  196 . The calculated parameters may then be used to compute the branch metrics of channel detector  117 . Again, in some cases, the data set being processed is a codeword. 
         [0024]    Memory  194  may be any storage device or circuitry known in the art. In one particular embodiment of the present invention, memory  194  is a single stage latch that receives the calculated parameters and holds them for processing in a subsequent channel detection process in channel detector  117 . As the processing by channel detector  109  and channel detector  117  do not necessarily start at the same time (e.g., the start of codeword processing by channel detector  109  occurs at a different time than the start of codeword processing by channel detector  117 ), memory  194  holds the calculated data detection parameters for loading into channel detector  117  at the end of each data set being processed by channel detector  117 . 
         [0025]    An output  181  of channel detector  109  is provided to an interleaver circuit  194 , and an output  183  of channel detector  117  is provided to another interleaver circuit  192 . Interleaver circuit  194  interleaves the output of channel detector  109  using a ping pong buffer  197 , and interleaver circuit  192  interleaves the output of channel detector  117  using a ping pong buffer  198 . One of the buffers in ping pong buffer  197  holds the result of a prior interleaving process of the output from channel detector  109  and is unloaded to an LDPC decoder  137  via a multiplexer  121 , while the other buffer of ping pong buffer  197  holds a data set from channel detector  109  that is currently being interleaved. Similarly, one of the buffers in ping pong buffer  198  holds the result of a prior interleaving process of the output from channel detector  117  and is unloaded to LDPC decoder  337  via a multiplexer  121 , while the other buffer of ping pong buffer  198  holds a data set from channel detector  117  that is currently being interleaved. It should be noted that other soft decision data decoders may be used in place of LDPC decoder  137  in different embodiments of the present invention. 
         [0026]    LDPC decoder  137  is capable of decoding one or more data sets simultaneously. As an example, LDPC decoder  137  may be designed to decode an interleaved data set from ping pong buffer  197 , to decode an interleaved data set from ping pong buffer  198 , or to decode interleaved data sets from ping pong buffer  197  and ping pong buffer  198  simultaneously. The decoded data is either provided as a hard decision output  141  or to a de-interleaver circuit  145  that uses queue buffer  149  to de-interleave the decoded data and to store the de-interleaved data until channel detector  117  is available for further processing. 
         [0027]    Where the data converges, it is provided as a hard decision output  141 . Alternatively, where the data fails to converge, the data is stored to queue buffer  149  until channel detector  117  is available for further processing. One of the buffers in queue buffer  149  holds the result of a prior de-interleaving process and is unloaded to channel detector  117 , while another buffer of queue buffer  149  holds a decoded data set currently being de-interleaved, and one or more other buffers in queue buffer  149  maintain other non-converged data waiting for processing by channel detector  117 . Non-converged data from queue buffer  149  is de-interleaved by de-interleaver  145  and passed to channel detector  117  that has access to the corresponding data set in memory buffer  113 . The data detection performed by channel detector  117  is similar to that performed by channel detector  109 . The data detection is done using the calculated parameters stored in memory  194 . The calculated parameters are changed in memory  194  at the end of the processing of each data set by channel detector  109 , and are loaded from memory  194  to channel detector  117  at the end of the processing of each data set by channel detector  117 . Hard decision output  141  is provided to a de-interleaver circuit  157  that de-interleaves the received hard decision output  141  and stores the de-interleaved result in one of a number of memory buffers  161 . Ultimately, de-interleaver circuit  157  provides the de-interleaved data stored in memory buffers  161  as an output  171 . One function of de-interleaver  157  is to re-order the processed data sets so that they can be provided as an output in the same order that the corresponding data sets were originally received. 
         [0028]    Queuing detection/decoding circuit  100  allows for performance of a variable number of detection and decoding iterations depending upon the introduced data. Further, in some cases, considerable power savings may be achieved through use of queuing detection/decoding circuit  100 . Yet further, in some cases, a faster LDPC decoder may be implemented allowing for an increased throughput where substantial first iteration data convergence exists as multiple iterations are not necessarily required. Yet further, by allowing results of LDPC decoder  137  to be reported out of order, upstream processing does not have to wait for the completion of downstream processing. Re-ordering of the out of order results may be done by queuing detection/decoding circuit  100  or by a downstream recipient of output  171 . 
         [0029]    Where noise predictive calibration circuit  196  is a closed loop adaptive circuit as are known in the art, providing the most recent calculated parameters to both channel detector  109  and channel detector  117  assures that the most recent adaptation is available for performing data detection in channel detector  109  and channel detector  117 . Further, providing the same calculated parameters to both channel detector  109  and channel detector  117 , the circuitry may be minimized when compared to other circuits that use the calculated parameters in relation to the same data set as it is processed one or more times through channel detector  117 . 
         [0030]    In operation, a first data set is introduced via data input  105  to channel detector  109 . Channel detector  109  performs its channel detection algorithm and provides both a hard output and a soft output to interleaver circuit  194  that interleaves the received data into one buffer of ping pong buffer  197 . As the data detection process proceeds in channel detector  109 , calibration circuit  196  performs a noise predictive calibration and variance calibration that calculates the parameters that will be used to compute the branch metrics of detector  109  and detector  117 . At the end of processing the first data set, the calculated parameters are loaded into detector  109  for use in relation to processing a subsequent data set through channel detector  109 , and into memory  194  for use in relation to processing a subsequent data set through channel detector  117 . 
         [0031]    Interleaver  194  may interleave the data set by writing consecutive data into non-consecutive memory/buffer addresses based on the interleaver algorithm/mapping. Interleaved data is provided from the other buffer of ping pong buffer  197  to LDPC decoder  137  via multiplexer  121 . LDPC decoder  137  performs a data decoding process. Where the decoding process converges, LDPC decoder  137  writes its output as hard decision output  141  to output data buffer  161  and the processing is completed for that particular data set. Alternatively, where the data does not converge, LDPC decoder  137  writes its output (both soft and hard) to queue buffer  149 . The scheduling guarantees that there is at least one empty buffer for holding this new set of data, and this strategy assures that each data input is guaranteed the possibility of at least two global iterations (i.e., two passes through a detector and decoder pair). As the LDPC decoding process proceeds, LDPC decoder  137  asserts LDPC processing start signal  124 . 
         [0032]    Where the data decoding process applied by LDPC decoder converges, the converging result is provided as a hard decision  141  to one of the buffers in memory buffer  161 . The outputs are re-ordered and presented as output  171 . Alternatively, where the data decoding process fails to converge, the non-converging data set is written to one of the buffers in queue buffer  149 . Channel detector  117  selects the data set that corresponds to the output in queue buffer  149  from input data buffer  113  and performs a subsequent data detection aided by the soft output data generated by LDPC decoder  137  fed back from queue buffer  149 . Before the channel detection process of channel detector  117  begins, the calculated parameters are loaded into channel detector  117  from memory  194 . This assures that the most recent calculated parameters are used by channel detector  117 . By using the previously generated soft data for data maintained in input data buffer  113 , channel detector  117  generally performs a subsequent channel detection with heightened accuracy. The output of this subsequent channel detection is passed to interleaver circuit  192  that interleaves the received data into one buffer of ping pong buffer  198 . Interleaver  192  may interleave the data set by writing consecutive data into non-consecutive memory/buffer addresses based on the interleaver algorithm/mapping. The interleaved data is provided from the other buffer of ping pong buffer  318  to LDPC decoder  137  via multiplexer  121 . LDPC decoder  137  provides another decoding pass to the data. Similar to the first iteration, a decision is made as to whether the data converged. Where the data converged, LDPC decoder  137  writes its output as hard decision output  141  to output data buffer  161  and the processing is complete for that particular data set. Alternatively, where the data does not converge, LDPC decoder  137  writes its output (both soft and hard) to queue buffer  149  where it is passed back to channel detector  117  for another global iteration where such is necessary and possible. 
         [0033]    Turning to  FIG. 2 , a flow diagram  200  shows a method in accordance with some embodiments of the present invention for distributing calibration data in an out of order data processing circuit. Following flow diagram  200 , a data input is received (block  220 ). This data input may be, but is not limited to, a series of data bits received from a magnetic recording medium or a series of bits received from a transmission channel. These series of data bits may be grouped into data sets. These data sets may include data grouped into a particular format and are referred to as codewords. For example, the data sets may include data assembled for low density parity check (LDPC) decoding that may be referred to as LDPC codewords. A sample of the received data is stored in a buffer and retained for later processing (block  225 ). In some cases, the data stored in the buffer is stored as a full sector of data, and the data buffer includes the ability to store multiple sectors of data. 
         [0034]    In addition, a calibration process is performed on the received data input to calculate data detection parameters (block  226 ). The data detection parameters are used to compute the branch metrics in data detection processes. Calculation of such data detection parameters and use of the data detection parameters in the data detection processes are well known in the art. The process of calculating data detection parameters may include the use of noise predictive filters. The coefficients for the noise predictive filters are adaptively updated using previous values and the newly received data being processed by the noise predictive filters. 
         [0035]    Data detection processes are performed on the received data to yield a detected data set (block  255 ). The data detection processes use data detection parameters calculated as part of block  226 . The calculated data detection processes and coefficients are stored to a memory (block  227 ). These stored data detection parameters are used in relation to subsequent data detection processes. The detected data set is interleaved (block  260 ), and the interleaved data is decoded (block  265 ). In some embodiments of the present invention, the data decoding is an LDPC decoding process as is known in the art. It is then determined whether the decoding process converged (block  245 ), and whether there is sufficient buffering available to reprocess the data (block  250 ). 
         [0036]    Where either the decoding process converged (block  245 ) or there is insufficient buffering available (block  250 ), the decoded data is de-interleaved (block  270 ) and stored in a buffer (block  275 ). The buffer includes various processed data sets that may have become available out of order, and as such the various processed data sets are reordered in the buffer so that the completed data sets may be presented at the output in the same order that the unprocessed data sets were received at the input (block  280 ). It is then determined if a complete time set is available in the buffer (block  285 ). A complete time set includes every result corresponding to received inputs over a given period of time. Thus, for example, where the first result is delayed while two later results are reported, the complete time set exists for the three results once the first result is finally available in the buffer. Where a complete time set is available (block  285 ), the processed data set(s) are output to a recipient (block  290 ). 
         [0037]    Alternatively, where the decoding process failed to converge (block  245 ) and there is sufficient buffering available (block  250 ), the process of detection and decoding is repeated for the particular data set. In particular, the decoded data is de-interleaved (block  205 ) and the resulting de-interleaved data is stored to a buffer (block  210 ). The data is accessed from the buffer and the de-interleaved data is aligned with the corresponding sample of the data input that was stored as described above in relation to block  225  (block  215 ) once the data detector is available. The de-interleaved data and the corresponding sample data input is provided to the data detector where a subsequent data detection is performed (block  230 ) on the originally stored sample of data input (block  225 ) using the soft input developed in the earlier processing of the same data input (blocks  255 ,  260 ,  265 ,  245 ,  250 ,  205 ,  210 ,  215 ). The data detection of block  230  is performed using the data detection parameters previously stored in block  227 . The result of the data detection process is interleaved (block  235 ) and the interleaved data is decoded (block  240 ). At this point, it is determined whether the data detection and decoding process failed to converge (block  245 ) and is to be repeated, or whether the result converged (block  245 ) and is to be reported. 
         [0038]    Turning to  FIG. 3 , a storage system  300  is shown that includes a read channel  310  with calibration circuitry in accordance with various embodiments of the present invention. Storage system  300  may be, for example, a hard disk drive. Read channel  310  includes a data processing circuit with out of order codeword processing circuitry and a feed forward calibration circuit. In one embodiment of the present invention, the out of order codeword processing circuitry is similar to that described above in relation to  FIG. 1 . In some cases, the read channel circuit operates similar to that discussed above in relation to  FIG. 2 . 
         [0039]    Storage system  300  also includes a preamplifier  370 , an interface controller  320 , a hard disk controller  366 , a motor controller  368 , a spindle motor  372 , a disk platter  378 , and a read/write head assembly  376 . Interface controller  320  controls addressing and timing of data to/from disk platter  378 . The data on disk platter  378  consists of groups of magnetic signals that may be detected by read/write head assembly  376  when the assembly is properly positioned over disk platter  378 . In one embodiment, disk platter  378  includes magnetic signals recorded as either longitudinal or perpendicular recorded signals. 
         [0040]    In a typical read operation, read/write head assembly  376  is accurately positioned by motor controller  368  over a desired data track on disk platter  378 . The appropriate data track is defined by an address received via interface controller  320 . Motor controller  368  both positions read/write head assembly  376  in relation to disk platter  378  and drives spindle motor  372  by moving read/write head assembly to the proper data track on disk platter  378  under the direction of hard disk controller  366 . Spindle motor  372  spins disk platter  378  at a determined spin rate (RPMs). Once read/write head assembly  378  is positioned adjacent the proper data track, magnetic signals representing data on disk platter  378  are sensed by read/write head assembly  376  as disk platter  378  is rotated by spindle motor  372 . The sensed magnetic signals are provided as a continuous, minute analog signal representative of the magnetic data on disk platter  378 . This minute analog signal is transferred from read/write head assembly  376  to read channel  310  via preamplifier  370 . Preamplifier  370  is operable to amplify the minute analog signals accessed from disk platter  378 . In turn, read channel module  310  decodes and digitizes the received analog signal to recreate the information originally written to disk platter  378 . The read data is provided as read data  303 . A write operation is substantially the opposite of the preceding read operation with write data  301  being provided to read channel module  310 . This data is then encoded and written to disk platter  378 . 
         [0041]    In conclusion, the invention provides novel systems, devices, methods and arrangements for performing data processing. While detailed descriptions of one or more embodiments of the invention have been given above, various alternatives, modifications, and equivalents will be apparent to those skilled in the art without varying from the spirit of the invention. For example, one or more embodiments of the present invention may be applied to various data storage systems and digital communication systems, such as, for example, tape recording systems, optical disk drives, wireless systems, and digital subscribe line systems. Therefore, the above description should not be taken as limiting the scope of the invention, which is defined by the appended claims.

Technology Classification (CPC): 7