Abstract:
The invention relates to the acquisition of a code modulated signal, wherein a first set of correlation results for correlations between the code modulated signal and a first replica code with different code phases and a second set of correlation results for correlations between the code modulated signal and a second replica code with different code phases are available. In order to achieve a high sensitivity, results from both sets of correlation results are combined, wherein correlation results used in the combination are selected based on information on a relative difference between a correct code phase for both replica codes. Then, it is determined based on the combination whether at least one of the sets of correlation results comprises a correlation result representing the correct code phase for the first replica code or the second replica code, respectively.

Description:
CROSS REFERENCE TO RELATED APPLICATIONS 
     This application is the U.S. National Stage of International Application Number PCT/IB04/004221 filed on Dec. 21, 2004 which was published in English on Jun. 29, 2006 under International Publication Number WO 2006/067538. 
     FIELD OF THE INVENTION 
     The invention relates to a method for supporting an acquisition of a code modulated signal received at a receiver. The invention relates equally to a corresponding decision module, and to a mobile device, a network element and a communication system comprising such a decision module. The invention relates further to a corresponding software program product. 
     BACKGROUND OF THE INVENTION 
     A received code modulated signal has to be acquired for example in CDMA (Code Division Multiple Access) spread spectrum communications. 
     For a spread spectrum communication in its basic form, a data sequence is used by a transmitting unit to modulate a sinusoidal carrier and then the bandwidth of the resulting signal is spread to a much larger value. For spreading the bandwidth, the single-frequency carrier can be multiplied for example by a high-rate binary pseudo-random noise (PRN) code sequence comprising values of −1 and 1, which code sequence is known to a receiver. Thus, the signal that is transmitted includes a data component, a PRN component, and a sinusoidal carrier component. A PRN code period comprises typically 1023 chips, the term chips being used to designate the bits of the code conveyed by the transmitted signal, as opposed to the bits of the data sequence. 
     A well known system which is based on the evaluation of such code modulated signals is GPS (Global Positioning System). In GPS, code modulated signals are transmitted by several satellites that orbit the earth and received by GPS receivers of which the current position is to be determined. Each of the satellites transmits currently two microwave carrier signals. One of these carrier signals L 1  is employed for carrying a navigation message and code signals of a standard positioning service (SPS). The L 1  carrier signal is modulated by each satellite with a different C/A (Coarse Acquisition) Code known at the receivers. Thus, different channels are obtained for the transmission by the different satellites. The C/A code, which is spreading the spectrum over a 1 MHz bandwidth, is repeated every 1023 chips, the epoch of the code being 1 ms. The carrier frequency of the L 1  signal is further modulated with the navigation information at a bit rate of 50 bit/s. The navigation information, which constitutes a data sequence, can be evaluated for example for determining the position of the respective receiver. 
     A receiver receiving a code modulated signal has to have access to a synchronized replica of the employed modulation code, in order to be able to de-spread the data sequence of the signal. More specifically, a synchronization has to be performed between the received code modulated signal and an available replica code. Usually, an initial synchronization called acquisition is followed by a fine synchronization called tracking. In both synchronization scenarios, correlators are used to find the best match between the replica code and the received signal and thus to find their relative shift called code phase. A correlator basically aligns an available replica code with the received signal using a respective code phase, multiplies the received signal sample-wise with the aligned replica code and integrates the results to obtain a correlation value for this code phase. The code phase resulting in the highest correlation value can then be assumed to be the correct code phase, if the correlation value exceeds moreover a predetermined threshold value. The match can be determined for example with chip accuracy. If an accuracy of a fraction of a chip is needed, the chip can be presented by several samples after an analog-to-digital conversion. 
     During the acquisition, the phase of the received signal relative to the available replica code can have any possible value due to uncertainties in the position of the satellite and the time of transmission of the received signal. 
     Moreover, an additional frequency modulation of the received signal may occur, which can be as large as +/−6 kHz, for example due to a Doppler effect and/or a receiver clock inaccuracy. The search of the code phase is therefore usually performed with different assumptions on an additional frequency modulation. For a sensitivity increase, in particular for weak signal environments like indoor environments, a receiver normally uses long integrations that require the frequency uncertainty to be as small as a few Hz. Therefore, even with the aligned code, a large number of frequency assumptions should be checked. 
     The initial acquisition is thus a two-dimensional search in code phase and frequency. Many different parallel architectures, time multiplexing and off-line processing approaches have been presented so far for the acquisition of received code modulated signals. 
     For illustration,  FIG. 1  presents a schematic block diagram of one path of an acquisition module of a conventional receiver, in which a matched filter is employed for performing correlations. 
     In the receiver, received samples are mixed by a mixer  11  with one of various search center frequencies e jωt . The mixed samples are then decimated by a decimation block  12  in accordance with a provided code frequency. The mixed and decimated samples are provided to a matched filter  13  to find out the code phase, or delay, of the received signal compared to an available replica code. The matched filter  13  compares the received samples with an available code in parallel for various code phases between the signal samples and the available code and outputs a correlation value for each code phase. Then, it continues with new samples of the received signal. 
     The output of the matched filter  13  for a respective checked code phase is provided to a Discrete Fourier Transform (DFT) bank  14  to determine in addition the Doppler frequency in the received signal. The DFT bank  14  mixes to this end the respective output of the matched filter  13  in parallel with a plurality of possible Doppler frequencies e jω1t , e jω2t , etc., e −jω1t , e −jω2t , etc. The results for each possible Doppler frequency are added to a coherent memory  15  for a coherent integration of the correlation values. The coherent memory  15  is structured in the form of a table which comprises one column for each code phase checked by the matched filter  13 , and one row for each DFT bin. 
     A processing component  16  then forms the sum over the squared I and Q components for each entry in the coherent memory  15 . 
     A further provided non-coherent memory  17  is structured in the same way as the coherent memory  15 . The output of the processing portion  16  is added to a respective field in the non-coherent memory  17  for an additional non-coherent integration. After the non-coherent integration length, it comprises final correlation values for any combination of the checked code phases and the checked Doppler frequencies. 
     The entries in the non-coherent memory  17  are then evaluated in a decision module (not shown). The correct code-phase and the correct frequency modulation compensation result in a larger integration value than an incorrect code-phase and/or an inappropriate frequency modulation compensation. Thus, detecting the maximum correlation value in the non-coherent memory  17  and comparing it with a certain threshold enables the decision module to find the correct code phase and the correct frequency of modulation. 
     Some GPS receivers may receive assistance data from some other unit, in particular from a wireless communication network. Such assistance data may include for instance a reference position, an accurate time or navigation data belonging to certain satellites, for supporting the assisted GPS receiver in acquiring satellite signals. Modern assisted GPS receivers search for up to eight satellites in parallel from full code uncertainty. 
     In assisted GPS receivers without an accurate time assistance, it is a particular challenge to acquire the signal of a first satellite. 
     If the code phase of one satellite signal is known, then code phases for other satellite signals can be predicted based on information from measurements on the first satellite signal, including code phase and Doppler frequency. 
     Such a prediction has been described for example in the U.S. Pat. No. 6,133,874. Here, it is assumed that a receiver has acquired a first satellite signal in a conventional manner, and that the code phase for this signal is thus known. In addition, a reference position, a reference time and the approximate position of other satellites versus time are assumed to be known. The approximate position of a satellite can be known for instance from available Almanac data for this satellite. All information may be provided for example by a mobile communications network as assistance data to the receiver. 
     The time of arrival of the first satellite signal has been determined to be T 1 . The assumed time of arrival of a second satellite is T 2  and can then be determined relative to the time T 1  to be (T 2 −T 1 )=(R 2 −R 1 )/c, where R 1  is the range between the position of the first satellite and the receiver, where R 2  is the range between the position of the second satellite and the receiver, and where c is the speed of light. The pseudo range to a respective satellite can be determined as the difference between the respective available satellite position and the available reference location. 
     Since the code phase for the acquired first satellite signal is known, the code phase for the second satellite signal can be predicted to correspond to the code phase for the acquired first satellite signal plus the difference in the time of arrival of both signals (T 2 −T 1 ). The code phase for further satellite signals can be predicted in a corresponding manner. 
     In addition, an uncertainty range for this prediction can be determined, as will be explained in the following. The uncertainty range can then be used to determine a prediction interval in which the code phases for the other satellite signals should lie, and the prediction interval can be used as a limited search range. 
     The maximum Line-Of-Sight (LOS) satellite speed is about 1 km/s, while the average is approximately 0.5 km/s. The maximum Doppler change is about 1 Hz/s. An urban WCDMA network, for instance, can provide a reference position as assistance data with an accuracy of less than 3 km, while the average accuracy is about 1 km. The accuracy of a time provided as assistance data is about 3 s in most wireless communication networks. 
     Based on these assumptions, the average uncertainty range for the code phases for other satellite signals can be predicted. A time error of 3 s results in a code prediction error of 1.5 km due to the LOS speed. A reference position error of 1 km results in a maximum code prediction error of +/−1 km. On average, the total code phase prediction error is thus smaller than 2.5 km. This means that code phases for the remaining satellite signals can be predicted with an average error of approximately 8 μs. The Doppler prediction is anyhow accurate to a few Hz. 
     The limited search range for the rest of the satellite signals results in a faster acquisition of these signals and enables moreover a detection of weaker signals. 
     In some situations, however, all satellite signals are so weak that even the correlation values for the strongest satellite signal level lie below the predetermined detection threshold value. In this case, none of the satellites can be found. 
     It has to be noted that a similar problem may occur with any other receiver of code modulated signals, in particular with any receiver of another Global Navigation Satellite System (GNSS), like the European satellite navigation system Galileo or Glonass. 
     SUMMARY OF THE INVENTION 
     The invention improves the acquisition of code modulated signals. 
     A method for supporting an acquisition of a code modulated signal received at a receiver is proposed, wherein at least a first set of correlation results for correlations between the code modulated signal and a first replica code with different code phases and a second set of correlation results for correlations between the code modulated signal and a second replica code with different code phases are available. The proposed method comprises combining results from the first set of correlation results and from the second set of correlation results, wherein correlation results used in the combination are selected based on information on a relative difference between a correct code phase for the first replica code and a correct code phase for the second replica code. The proposed method further comprises determining based on the combination whether at least one of the first set of correlation results and the second set of correlation results comprises a correlation result representing the correct code phase for the first replica code or the second replica code, respectively. 
     Moreover, a decision module for supporting an acquisition of a code modulated signal received at a receiver is proposed. The decision module has access to at least a first set of correlation results for correlations between the code modulated signal and a first replica code with different code phases and a second set of correlation results for correlations between the code modulated signal and a second replica code with different code phases. The proposed decision module is adapted to combine results from the first set of correlation results and from the second set of correlation results, wherein correlation results used in the combination are selected by the decision module based on information on a relative difference between a correct code phase for the first replica code and a correct code phase for the second replica code. The proposed decision module is further adapted to determine based on the combination whether at least one of the first set of correlation results and the second set of correlation results comprises a correlation result representing the correct code phase for the first replica code or the second replica code, respectively. 
     Moreover, a mobile device is proposed, which comprises the proposed decision module. 
     Moreover, a network element for a communication network is proposed, which comprises the proposed decision module. 
     Moreover, a communication system is proposed, which comprises a network element of a communication network and a mobile device. The mobile device is adapted to communicate with the network element. At least one of the mobile device and the network element includes the proposed decision module. 
     Moreover, a software code for supporting an acquisition of a code modulated signal received at a receiver is proposed, wherein at least a first set of correlation results for correlations between the code modulated signal and a first replica code with different code phases and a second set of correlation results for correlations between the code modulated signal and a second replica code with different code phases are available. When running in a processing unit, the software code realizes the steps of the proposed method. 
     Finally, a software program product is proposed, in which the proposed software code is stored. 
     The invention proceeds from the idea that a knowledge about the relation between code phases for different code modulated signals can be exploited for acquiring these signals. The invention proceeds further from the idea that while results of correlations for a respective replica code might not be suited by themselves for detecting a correct code phase, for instance because the concerned signal is too weak, a combination of the correlation results for several replica codes might be suited to provide an indication of the code phases, if the known relation between the code phases is taken into account when combining the correlation results. 
     It is an advantage of the invention that it reduces the search time and/or increases the sensitivity of a signal acquisition. It is in particular an advantage of the invention that it allows finding a correct, code phase for a first replica code, even in case none of the correlation values exceeds a predetermined threshold value. 
     It is further an advantage that it may be realized in some applications by a pure software change. In many assisted receivers, for example, all required information is already available. 
     In one embodiment of the invention, the correlation results are correlation values, and the correlation values of each of the sets of correlation results represent a respective correlation between samples of the received signal and one of a plurality of available replica codes with a plurality of code phases between the samples of the received signal and the available replica code. The combination may then comprise:
     a) selecting a highest one of the correlation values at least in a subset of the available correlation values, the selected correlation value being associated to a first replica code and a first code phase;   b) determining a respective prediction interval for a correct code phase for other replica codes than the first replica code based on the first code phase; and   c) combining the selected correlation value with correlation values from the prediction intervals.   

     The determination may then comprise accepting the first code phase as a correct code phase for the first replica code, if a result of the combination exceeds a predetermined threshold value. 
     This embodiment is based on the consideration that prediction intervals for code phases could be used already for finding the correct code phase for a first replica code. It is proposed that such prediction intervals are determined for various replica codes based on a code phase which is associated to a highest correlation value, even if this highest correlation value does not exceed a conventionally monitored threshold value. If the highest correlation value is associated to the correct code phase for a certain replica code, it can be assumed that prediction intervals which are determined based on this code phase will include a significant correlation peak as well. The highest correlation value can thus be assumed to be associated to the correct code phase for a certain replica code, if a suitably selected threshold value is exceeded by a combination of the highest correlation value with correlation values in the prediction intervals. 
     In some assisted receivers, a prediction of intervals is already implemented. In the proposed embodiment of the invention, the prediction calculations are then just carried out at an earlier phase than in a conventional approach. 
     In a further embodiment of the invention, the proposed processing of correlation values is only carried out, in case none of the correlation values exceeds a further predetermined threshold value, that is, in those cases in which a conventional search would have to be terminated. As in a conventional acquisition, this further predetermined threshold value is set such that a correlation value exceeding this further predetermined threshold value can be assumed positively to be associated to the correct code phase of the associated replica code. Prediction intervals can then be used in a conventional manner for finding the correct code phases for other replica codes. 
     In a further embodiment of the invention, the available correlation values are determined for a plurality of frequency compensations for each combination of a particular replica code and a particular code phase. 
     In this case, the selected correlation value will be associated not only to a particular replica code and a particular code phase, but equally to a particular frequency compensation, which will be referred to as a first frequency compensation. If the selected correlation value is associated to the correct code phase and the correct frequency compensation for the first replica code, it can be assumed that the same frequency compensation will be required for the other replica codes. In one embodiment of the invention, a prediction interval for a respective correct code phase for other replica codes than the first replica code is therefore determined only for correlation values resulting with this first frequency compensation. 
     The selected correlation value can be combined in various ways with correlation values in the prediction intervals. In one possible approach, the selected correlation value is combined with a respective highest correlation value from each prediction interval. In another possible approach, the selected correlation value is combined with all correlation values in all prediction intervals. 
     In case a result of the combination does not exceed the predetermined threshold value, it can be assumed that the selected highest correlation value is not associated to the correct code phase and/or possibly the correct frequency compensation for the first replica code. 
     In one embodiment of the invention, thereupon a next highest one of the correlation values at least in the subset of the available correlation values is selected. The newly selected correlation value is associated to a new first replica code, a new first code phase and possibly a new frequency compensation. The evaluation is then continued with the prediction of intervals for the respective other replica codes. 
     This process can be continued in a loop until the correct code phase for a first replica code is found. Advantageously, the process is limited, however, to a predetermined number of iterations; as with decreasing correlation peaks, the probability to find the correct one decreases as well. At some point it can be assumed to be more efficient to start anew with another set of correlation values. 
     The determination of the correlation values itself, which is well known in the art, forms part of one embodiment of the invention. It can be carried out in parallel and/or sequentially. In a sequential search, the correlation values have to be saved and an accurate timing has to be ensured between the searches. A parallel search may comprise for example for each replica code a matched filter operation, a DFT operation, a coherent integration and a non-coherent integration. 
     Each of the replica codes may be associated in particular to a respective transmitting unit which employs a corresponding code for encoding signals for transmission. Such a transmitting unit can be for example a satellite of a satellite based navigation system, like GPS, Galileo or Glonass. 
     It has to be noted that the available replica codes do not have to be associated to transmitting units of a single transmission system, though. 
     In one embodiment of the invention, the code modulated signal received at a receiver comprises signals transmitted by a plurality of satellites of at least two different satellite navigation systems. Each replica code corresponds to a code employed by one of the satellites for encoding signals for transmission. A highest correlation value may then be selected only from a subset of correlation values which are available for replica codes associated to satellites of only one of the satellite navigation systems. 
     For example, a highest correlation value may be selected from those correlation values which are associated to GPS replica codes. This value can then be used for determining prediction intervals for code phases for Galileo replica codes. The selected GPS correlation value may be combined with Galileo correlation values in the prediction intervals. This is possible, if an accurate timing is kept during the determination of all correlation values. If the combining result exceeds a predetermined threshold, the prediction intervals can be assumed to be appropriate search intervals for the code phases for the Galileo replica codes. This approach minimizes the Galileo acquisition hardware while enhancing at the same time the sensitivity of the acquisition. 
     The invention can be employed in any situation in which one or more signals modulated with a plurality of codes are received at a receiver. 
     The proposed mobile device can correspond for example to this receiver. The proposed mobile device can be for instance, though not exclusively, a receiver for a satellite based navigation system, or a mobile terminal of a wireless communication system comprising such a receiver. 
     The proposed mobile device may comprise in addition to the proposed decision module a receiver which is adapted to receive a code modulated signal and an acquisition module adapted to determine correlation values representing a respective correlation between samples of a received signal and a plurality of available replica codes with a respective plurality of code phases between the samples of the received signal and each of the available replica codes. 
    
    
     
       BRIEF DESCRIPTION OF THE FIGURES 
       Other objects and features of the present invention will become apparent from the following detailed description considered in conjunction with the accompanying drawings. 
         FIG. 1  is a block diagram illustrating a conventional acquisition of satellite signals; 
         FIG. 2  is a schematic diagram of a system according to an embodiment of the invention; 
         FIG. 3  is a flow chart illustrating the acquisition of a first satellite signal in the system of  FIG. 2  according to an embodiment of the invention; 
         FIG. 4  presents diagrams showing exemplary correlation values; and 
         FIG. 5  is a diagram presenting simulation results. 
     
    
    
     DETAILED DESCRIPTION OF THE INVENTION 
       FIG. 2  is a schematic diagram of a system in which a first satellite signal can be acquired in accordance with an embodiment of the invention. 
     The system comprises a mobile terminal  20 , a network element  26  of a mobile communication network  25  and a plurality of GPS satellites, which are also referred to as ‘space vehicles’, SV 1 , SV 2 , SV 3 , SV 4 . 
     Each of the GPS satellites SV 1  to SV 4  transmits a signal modulated with a C/A code and navigation information as described above. 
     The mobile terminal  20  comprises in addition to conventional components required for of a mobile communication via the mobile communication network  25  a GPS receiver  21 . The GPS receiver  21  includes as part of conventional components an acquisition module  22  and a decision module  23 . The acquisition module  22  may be a conventional acquisition module  22 , which comprises four correlation paths as presented in  FIG. 1 , each for another replica code. The decision module  23 , however, is supplemented in accordance with the invention. It assumed by way of example that the decision module  23  is realized by a software code (SW) running in a processing unit of the mobile terminal  20 , even though it may equally be implemented in hardware. The implementation of the software will be explained further below with reference to  FIG. 3 . 
     The network element  26  of the communication network  25  is able to provide GPS assistance data to the GPS receiver  21  by means of a regular mobile communication with the mobile terminal  20 . The assistance data can comprise, for instance, the position of the network element  26  as a reference position and navigation data extracted from GPS signals received in the communication network  25 . In addition, the network element  26  might comprise a decision module  27 . This decision module  27  corresponds to the decision module  23 . 
       FIG. 3  is a flow chart illustrating the acquisition of a first satellite signal by the GPS receiver  21 . At the top, the operation in the acquisition module  22  is indicated, while further below and separated by a dashed line, the operation in the detection module  23  is shown. 
     In the acquisition module  22 , samples of a received signal are processed in parallel for four different replica codes, as described with reference to  FIG. 1  for one replica code. Each replica code is associated to another one of the four satellites SV 1  to SV 4 . 
     The matched filter operation with n code phases and the subsequent frequency correction with m DFT bins results for each replica code in n×m correlation values which are stored in a respective non-coherent memory  17  (step  301 ). 
       FIG. 4  presents for each satellite SV 1  to SV 4  a diagram with an exemplary sequence of n=2046 correlation values for one DFT bin. Corresponding correlation values exist for all other considered DFT bins. 
     In the decision module  23 , the correlation values are retrieved from the non-coherent memories  17  of the acquisition module  22  and compared to a first threshold value (step  302 ). 
     If one of the correlation values is detected to exceed the first threshold value, this correlation value is assumed to represent a correct replica code at a correct code phase for the received signal. (step  303 ) If only a correlation value for one of the checked replica code exceeds the threshold value, knowledge about this replica code can be made use of for acquiring further satellite signals in a conventional manner. 
     If none of the correlation values exceeds the first threshold value, the highest correlation value which is provided by the acquisition module  22  is selected (step  304 ). 
     In the example of  FIG. 4 , the first threshold value is assumed to be 2.5. It can be seen that none of the depicted correlation values exceeds this threshold value. It is further assumed that none of the correlation values for the other DFT bins exceeds the first threshold value. The highest correlation value  41  among all correlation values has a value of approximately 2 and belongs to the first satellite SV 1 . This correlation value is thus selected. 
     Based on the selected correlation value, which has been obtained with a replica code associated to a certain satellite, a code phase prediction is performed for the other three replica codes sequences. The code phase prediction as such is well known and can be realized for example as described above with reference to the document U.S. Pat. No. 6,133,874. It results in a predicted code phase for each of the other replica codes. When a respective predicted code phase is combined with an uncertainty value, a prediction interval is obtained for the associated replica code, which can be assumed to cover the correct code phase. (step  305 ) 
     Since the Doppler prediction has an accuracy of a few Hz, the correct search results for all satellites S 1  to S 4  can be assumed to be located in the same DFT bin. Therefore, only the DFT bin in which the selected correlation value has been found is considered when determining a prediction interval for the remaining satellites. 
     In the example of  FIG. 4 , resulting prediction intervals for each of the satellites SV 2  to SV 4  are indicated by a respective rectangle  42  to  44 . 
     The correlation values in the prediction intervals are then combined with the selected correlation value (step  306 ), for example in accordance with the following relation: 
     
       
         
           
             
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     For the example of  FIG. 4 , this means more specifically that in each of the prediction intervals  42  to  44 , the maximum correlation value is determined. Even though not pointed out separately, in each of the prediction intervals  42  to  44  a clear maximum correlation value can be seen. The selected correlation value  41  and the maximum correlation values determined for each of the prediction intervals  42  to  44  are then summed. 
     It is to be understood that presented method of combining the search results constitutes only an example. It will be readily apparent to those skilled in this art that many other combination methods can be used as well. 
     The combined value is compared to a second threshold value (step  307 ). 
     If the combined value exceeds a second threshold value, the selected correlation value is assumed to correspond to a correct code phase for a certain satellite signal (step  303 ). 
     Otherwise, the next highest correlation value among all correlation values is determined (step  309 ), and steps  305  to  307  are repeated proceeding from this next highest correlation value as a selected correlation value. 
     Once a correct code phase for a first replica code has been found, the code phases for the remaining three replica codes can be searched for in a conventional manner within the respective prediction interval. 
     Steps  305  to  309  are repeated in a loop, until a correct code phase for a certain satellite signal has been found, or until the five highest correlation values have been evaluated, which is checked in each iteration between steps  307  and  309  as a step  308 . When the five highest correlation values have been evaluated without success, it is assumed that a signal acquisition based on the current correlation values is not possible. The signal acquisition is thus terminated and started anew (step  310 ). It is to be understood that evaluating up to five highest correlation values is just an example; any other number can be used also. 
     It has to be noted that the processing performed by the decision module  23  of the GPS receiver  21  could also be taken care of at least partly by the decision module  27  of the network element  26 . To this end, the GPS receiver  21  provides any required information to the network element  26 , making use of a regular mobile communication link between the mobile terminal  20  and the mobile communication network  25 . This approach is of advantage for enabling GPS receivers  21  to make use of the invention, even though they are not provided with a supplemented decision module  22  themselves, and/or for saving processing power at the mobile terminal  20 . 
     Simulations show that when trying on the one hand to acquire several GPS satellite signals each by itself from full code uncertainty and on the other hand to acquire all GPS satellite signals with the presented approach from full code uncertainty, the same acquisition probability of e.g. 90% can be achieved with a significantly lower signal level compared to individual searches. 
     New receivers are able to search up to eight satellites in parallel. Using eight satellites in the evaluation would further improve the results. Doubling the number of satellites which are used for a peak check from four to eight results in an optimum case in a gain which is increased by 3 dB. This is due to the fact that even in a parallel search noise in the search results is not correlating, as the incoming signal is ‘de-spread’ with the replica codes. The prediction uncertainty diminishes the gain only to a limited extent. 
     It is to be noted that the described embodiment can be varied in many ways and that it moreover constitutes only one of a variety of possible embodiments of the invention.