Diversity signal phase deviation compensation method and system based on pilot frequency and data combination

Abstract

The invention provides a diversity signal phase deviation compensation method and system based on pilot frequency and data combination, and relates to the field of digital communication, and the method comprises the steps: calculating a difference value between two paths of diversity signal sequences received at a target symbol position through a receiving signal sequence model, and carrying out the average noise reduction of a difference result between all data symbols; estimating a phase offset result between two paths of diversity signals based on pilot frequency coherent noise reduction and a data diversity inter-symbol difference post-averaging algorithm, and calculating to obtain a parameter estimation linear signal-to-noise ratio; and carrying out noise reduction on a phase offset result estimated by an average algorithm after pilot frequency coherent noise reduction and data diversity inter-symbol difference by adopting a maximum ratio diversity to obtain an improved linear signal-to-noise ratio of phase offset parameter estimation. On the premise of not increasing pilot frequency overhead, the phase offset estimation precision can be obviously improved, finally, the decoding performance is obviously improved, the practical equipment performance competitiveness is improved, and meanwhile, the pilot frequency overhead can be reduced in waveform design by adopting the technology, so that the equipment performance is improved.

Description

Technical Field

[0001] This invention relates to the field of digital communication, and specifically to a method and system for compensating phase deviation of diversity signals based on the combination of pilot and data signals. Background Technology

[0002] Existing technical solutions estimate the phase deviation (or phase offset) of the channel response for each signal based on the coherent noise reduction method of the pilot received signal in waveform structure design. Based on the phase offset estimation results for each signal, absolute phase compensation or relative phase compensation methods are used to align the phases of the two received diversity signals before adding and merging them to achieve coherent merging noise reduction. The signal-to-noise ratio (SNR) of the merged signal increases by 3 dB compared to the single-channel signal. However, this requires that the pilot length of each signal be sufficiently long to ensure the accuracy of the phase offset estimation; otherwise, the theoretical performance of increasing the SNR of the merged diversity signal cannot be guaranteed.

[0003] In theory, the optimal pilot length in the single-channel receiver waveform structure design is M symbols. Theoretically, the signal-to-noise ratio of two-channel diversity reception is reduced by 3dB compared to single-channel reception. The optimal pilot length in two-channel diversity reception should be 2*M symbols. At this time, after pilot coherent noise reduction, the phase offset estimation performance is consistent with the single-channel performance.

[0004] Using existing technologies doubles the pilot time resource overhead. If the pilot overhead is significant, this approach cannot achieve the theoretical 3dB performance gain limit for two-channel diversity reception compared to single-channel reception. In practical engineering projects, this fails to guarantee a competitive performance advantage for the equipment. Therefore, in the design of two-channel diversity waveforms, maintaining the pilot structure unchanged, accurately estimating the phase deviation between the two diversity signals without increasing pilot overhead, and achieving a 3dB performance gain after combining the two diversity signals, is one of the technical problems that needs to be solved. Summary of the Invention

[0005] In view of this, the purpose of this invention is to propose a method and system for compensating phase deviation of diversity signals based on pilot and data combination. The application premise is that the channel response within the time / frequency length of the two diversity signals is single-path and has the same power, meaning that there is only one phase deviation between the two received diversity signals. In a white noise environment, a method for accurately estimating the phase deviation between the two diversity signals is used to coherently combine multiple diversity signals into one, achieving the theoretical target of a 3dB improvement in the signal-to-noise ratio of the combined signal.

[0006] To achieve the above objectives, the present invention provides the following technical solution:

[0007] To achieve the above objectives, in a first aspect, the present invention provides a diversity signal phase deviation compensation method based on pilot and data combination, comprising the following steps:

[0008] The difference between the two diversity signal sequences received at the target symbol position is calculated by the received signal sequence model, and the noise is reduced by averaging the difference results between all data symbols.

[0009] The phase offset between the two diversity signals is estimated based on the pilot coherent noise reduction and the data diversity symbol differential averaging algorithm, and the parameter estimation linear signal-to-noise ratio is calculated.

[0010] The phase offset results estimated by the average algorithm after pilot coherent denoising and data diversity symbol difference are denoised using the maximum score set to obtain the improved linear signal-to-noise ratio of the phase offset parameter estimate.

[0011] As a further aspect of the present invention, in the diversity signal phase deviation compensation method based on pilot and data combination, there is only one phase deviation between the two diversity received signals. During the processing of the two diversity signals, the channel response within the frequency length is single-path, and the power is the same. Let the transmitted signal length be... sequence ,in, The symbol represents the first The complex baseband signal transmitted by the sequence index, This represents the total symbol length of the transmitted signal sequence. Here, the sequence index represents the time index of the symbol in the sequence, where, The diversity signal phase deviation compensation method based on pilot and data combination also includes length pilot sequence , No. Path diversity received signal channel response ;in, Indicates the length of the pilot sequence. Indicates the first Known pilot symbols transmitted by position subscripts, This is the position index of the pilot sequence, used to locate the specific position of the pilot in the sequence; Indicates the first The channel response of the received signal on the diversity channel. Indicates the index of a diversity channel, for example: Represents the first diversity signal. This represents the second diversity signal.

[0012] As a further aspect of the present invention, if the power is 1, under the condition of receiving synchronization, the received signal sequence model is as follows:

[0013] ;

[0014] in, For the first On the diversity channel of the road, the first A received signal sequence model at each symbol position; For the first On the diversity channel of the road, the first The variance of the white noise sequence superimposed on the received signal at each symbol position is: .

[0015] As a further aspect of the present invention, when calculating the difference value between the two diversity signal sequences received at the target symbol position using the received signal sequence model, the received signal sequence model... Calculate the first Differential reception of diversity signals at each symbol location The expanded result is:

[0016] ;

[0017] Simplified to:

[0018] ;

[0019] In the formula, Indicates the noise of the first channel. The complex conjugate, Indicates the first signal The complex conjugate, This represents the complex conjugate of the channel response received on the first diversity channel. The equivalent noise term is the sum of all noise cross terms after the formula is expanded. The mean is 0 and the variance is ;

[0020] The average noise reduction of all data symbol difference results is:

[0021] ;

[0022] In the formula, This represents the complex numerical result of the phase deviation between two diversity signals estimated using an inter-symbol difference averaging algorithm based on the data symbols. The mean is 0 and the variance is .

[0023] As a further aspect of the present invention, the phase offset between the two diversity signals is estimated based on pilot coherent noise reduction as follows:

[0024] ;

[0025] In the formula, This represents the complex numerical result of the phase deviation between two diversity signals estimated using a coherent noise reduction algorithm based on pilot symbols. The mean is 0 and the variance is At this point, the linear signal-to-noise ratio of the parameter estimation is , This represents the phase offset estimation result based on the pilot. The linear signal-to-noise ratio is used to measure the reliability of the estimate. This represents the equivalent noise power in the estimation result when only pilot symbols are used to estimate the phase deviation between two diversity signals.

[0026] As a further aspect of the present invention, the phase offset between the two diversity signals is estimated using an averaging algorithm based on the inter-symbol difference of data diversity as follows:

[0027] ;

[0028] In the formula, The mean is 0 and the variance is At this point, the linear signal-to-noise ratio of the parameter estimation is , This indicates the phase bias estimation results based on the data. The linear signal-to-noise ratio, This represents the equivalent noise power in the estimation result when the phase deviation is estimated by averaging the data symbols after inter-symbol difference.

[0029] As a further aspect of the present invention, the phase offset result estimated by the average algorithm after pilot coherent denoising and data diversity symbol difference is denoised using the maximum score set:

[0030] ;

[0031] In the formula, The mean is 0 and the variance is ;

[0032] right Amplitude normalization, retaining only the phase component:

[0033] ;

[0034] The phase offset result estimated by the average algorithm after pilot coherent noise reduction and data diversity inter-symbol difference is used. The maximum score set is used and noise reduction is performed as follows:

[0035] ;

[0036] In the formula, This indicates the final phase bias estimation result. The complex conjugate of the signal is used to perform phase compensation on the second signal, aligning it with the phase of the first signal;

[0037] The linear signal-to-noise ratio of the phase bias parameter estimation after merging is:

[0038] ;

[0039] In the formula, This indicates the final phase bias estimation result. The linear signal-to-noise ratio, This represents the final optimal phase bias estimation result, derived from... and Obtained by merging the largest ratios;

[0040] The improvement factor of the linear signal-to-noise ratio for phase bias parameter estimation is:

[0041] .

[0042] As a further aspect of the present invention, let the path noise power of the channel after pilot correlation noise reduction be... ,satisfy The improvement factor of the linear signal-to-noise ratio for phase bias parameter estimation is simplified to:

[0043] ;

[0044] make , This indicates the structural ratio of the transmitted signal sequence. This is the ratio of the total symbol length to the pilot length. This value reflects the efficiency of the communication system. The larger the value, the higher the data proportion and the higher the efficiency. The above formula is equivalent to:

[0045] .

[0046] Secondly, the present invention provides a diversity signal phase deviation compensation system based on pilot and data combination, comprising the following components:

[0047] The differential calculation and averaging module is used to receive two diversity signal sequences, calculate the difference between the two diversity signal sequences received at the target symbol position according to the received signal sequence model, and average the difference results between all data symbols to reduce noise.

[0048] The signal-to-noise ratio (SNR) calculation module is used to estimate the phase offset between two diversity signals based on the pilot coherent noise reduction and the average algorithm after the data diversity symbol differential, and to calculate the parameter estimated linear SNR.

[0049] The maximum ratio merging noise reduction module is used to combine the phase offset results estimated by the pilot coherent noise reduction and the data diversity symbol difference averaging algorithm with the maximum ratio merging and noise reduction to obtain the improved linear signal-to-noise ratio of the phase offset parameter estimate.

[0050] As a further embodiment of the present invention, the diversity signal phase deviation compensation system based on pilot and data combination further includes a phase compensation execution module, which is used to receive the final phase deviation estimate output by the maximum ratio combining noise reduction module, and apply the phase deviation estimate as a compensation amount to one of the diversity signals to eliminate the phase deviation between the two signals.

[0051] Compared with existing technologies, the diversity signal phase deviation compensation method and system based on pilot and data combination proposed in this invention has the following advantages:

[0052] This invention improves the phase offset estimation accuracy of diversity signals based on a pilot coherent joint data symbol differential algorithm, ultimately ensuring that the combined two-path diversity signal approaches a 3dB performance gain. Compared to phase offset estimation algorithms that rely solely on pilots, the phase offset results are significantly improved. Medium noise component Power ratio Medium noise component The power consumption is significantly reduced, thereby significantly improving the accuracy of the phase offset estimation results. This invention can significantly improve the phase offset estimation accuracy without increasing pilot overhead, thus increasing the merging gain of the two diversity signals to nearly the ideal value of 3dB. Ultimately, this leads to a significant improvement in decoding performance, enhancing the competitiveness of actual equipment. Furthermore, using this technology can reduce pilot overhead in waveform design, thereby improving equipment performance.

[0053] These or other aspects of this application will become more apparent from the following description of embodiments. It should be understood that the foregoing general description and the following detailed description are exemplary and explanatory only, and are not intended to limit the application. Attached Figure Description

[0054] To more clearly illustrate the technical solutions in the embodiments of the present invention or related technologies, the accompanying drawings used in the description of the exemplary embodiments or related technologies will be briefly introduced below. The drawings are used to provide a further understanding of the present invention and constitute a part of the specification. They are used together with the embodiments of the present invention to explain the present invention and do not constitute a limitation thereof. In the drawings:

[0055] Figure 1 This is a flowchart of a diversity signal phase deviation compensation method based on pilot and data combination according to an embodiment of the present invention.

[0056] Figure 2 This is a schematic diagram comparing the phase offset estimation error in a diversity signal phase offset compensation method based on pilot and data combination according to an embodiment of the present invention, where R=6, M=64, and SNR=-9dB.

[0057] Figure 3This is a schematic diagram comparing the phase offset estimation error in a diversity signal phase offset compensation method based on pilot and data combination according to an embodiment of the present invention, where R=12, M=64, and SNR=-9dB.

[0058] Figure 4 This is a schematic diagram comparing the phase offset estimation error in a diversity signal phase offset compensation method based on pilot and data combination according to an embodiment of the present invention, where R=24, M=32, and SNR=-6dB.

[0059] Figure 5 This is a schematic diagram of the diversity signal phase deviation compensation method based on pilot and data combination in an embodiment of the present invention, where R=6, M=64, SNR=-9dB, and the signal-to-noise ratio gain of the diversity signal is combined.

[0060] Figure 6 This is a schematic diagram of the diversity signal phase deviation compensation method based on pilot and data combination in an embodiment of the present invention, where R=12, M=64, SNR=-9dB, and the signal-to-noise ratio gain of the diversity signal is combined.

[0061] Figure 7 This is a schematic diagram of the diversity signal phase deviation compensation method based on pilot and data combination in an embodiment of the present invention, where R=24, M=32, SNR=-6dB, and the signal-to-noise ratio gain of the diversity signal is combined.

[0062] Figure 8 This is a schematic diagram comparing the Turbo decoding performance of R=6, M=64 in a diversity signal phase deviation compensation method based on pilot and data combination according to an embodiment of the present invention.

[0063] Figure 9 This is a schematic diagram comparing the Turbo decoding performance of R=12, M=64 in a diversity signal phase deviation compensation method based on pilot and data combination according to an embodiment of the present invention.

[0064] Figure 10 This is a schematic diagram comparing the Turbo decoding performance of R=24 and M=32 in a diversity signal phase deviation compensation method based on pilot and data combination according to an embodiment of the present invention. Detailed Implementation

[0065] The present application will now be further described in conjunction with the accompanying drawings and specific embodiments. It should be noted that, without conflict, the various embodiments or technical features described below can be arbitrarily combined to form new embodiments.

[0066] To make the objectives, technical solutions, and advantages of the present invention clearer, the embodiments of the present invention will be further described in detail below with reference to specific examples and the accompanying drawings. It should be understood that the specific embodiments described herein are merely illustrative and are not intended to limit the scope of this application.

[0067] It should be noted that all uses of "first" and "second" in the embodiments of the present invention are for the purpose of distinguishing two different entities or different parameters with the same name. Therefore, "first" and "second" are merely for convenience of expression and should not be construed as limiting the embodiments of the present invention. Furthermore, the terms "comprising" and "having," and any variations thereof, are intended to cover non-exclusive inclusion, such as other steps or units inherent in a process, method, system, product, or device that includes a series of steps or units.

[0068] The technical solutions of the embodiments of this application will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of this application, not all embodiments. Based on the embodiments of this application, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of this application.

[0069] The flowchart shown in the attached diagram is for illustrative purposes only and does not necessarily include all content and operations / steps, nor does it necessarily have to be performed in the order described. For example, some operations / steps can be broken down, combined, or partially merged, so the actual execution order may change depending on the actual situation.

[0070] The following detailed description of some embodiments of this application is provided in conjunction with the accompanying drawings. Unless otherwise specified, the following embodiments and features can be combined with each other.

[0071] See Figure 1 As shown, an embodiment of the present invention provides a method for compensating phase deviation of diversity signals based on pilot and data combination. The method includes the following steps:

[0072] Step S10: Calculate the difference value between the two diversity signal sequences received at the target symbol position using the received signal sequence model, and average the noise reduction of the difference results between all data symbols.

[0073] Step S20: Estimate the phase offset between the two diversity signals based on the pilot coherent noise reduction and the data diversity symbol differential averaging algorithm, and calculate the parameter estimation linear signal-to-noise ratio;

[0074] Step S30: The phase offset results estimated by the pilot coherent denoising and data diversity symbol difference after averaging are denoised using the maximum score set to obtain the improved linear signal-to-noise ratio of the phase offset parameter estimate.

[0075] In this embodiment, the prerequisite for applying the pilot and data combined diversity signal phase deviation compensation method is that there is only one phase deviation between the two diversity received signals, wherein the channel response within the frequency length of the two diversity signals is single-path and has the same power; assuming the transmitted signal length is... sequence ,in, The symbol represents the first The complex baseband signal transmitted by the sequence index, This represents the total symbol length of the transmitted signal sequence. Here, the sequence index represents the time index of the symbol in the sequence, where, The diversity signal phase deviation compensation method based on pilot and data combination also includes length pilot sequence , No. Path diversity received signal channel response ;in, Indicates the length of the pilot sequence. Indicates the first Known pilot symbols transmitted by position subscripts, This is the position index of the pilot sequence, used to locate the specific position of the pilot in the sequence; Indicates the first The channel response of the received signal on the diversity channel. Indicates the index of a diversity channel, for example: Represents the first diversity signal. This represents the second diversity signal.

[0076] Wherein, if the power is 1, under the condition of receiving synchronization, the received signal sequence model is:

[0077] ;

[0078] in, For the first On the diversity channel of the road, the first A received signal sequence model at each symbol position; For the first On the diversity channel of the road, the first The received signal at each symbol position A white noise sequence with variance of .

[0079] In this embodiment, the data symbols in the two diversity received signals are unknown, but the phase deviation between identical symbols is consistent. Therefore, the phase deviation can be further estimated using the inter-diversity difference method for each data symbol. The average noise reduction of all data symbol difference results improves the phase deviation estimation performance. Specifically, when calculating the inter-diversity difference value between the two received diversity signal sequences at the target symbol position using the received signal sequence model, the received signal sequence model... Calculate the first Differential reception of diversity signals at each symbol location The expanded result is:

[0080] ;

[0081] The above formula can be simplified to:

[0082] ;

[0083] In the above formula, Indicates the noise of the first channel. The complex conjugate, Indicates the first signal The complex conjugate, This represents the complex conjugate of the channel response received on the first diversity channel. The equivalent noise term is the sum of all noise cross terms after the formula is expanded. The mean is 0 and the variance is .

[0084] The average noise reduction of all data symbol difference results is:

[0085] ;

[0086] In the above formula, This represents the complex numerical result of the phase deviation between two diversity signals estimated using an inter-symbol difference averaging algorithm based on the data symbols. The mean is 0 and the variance is .

[0087] In summary, the phase offset between the two diversity signals estimated based on pilot coherent noise reduction is as follows:

[0088] ;

[0089] In the formula, This represents the complex numerical result of the phase deviation between two diversity signals estimated using a coherent noise reduction algorithm based on pilot symbols. The mean is 0 and the variance is At this point, the linear signal-to-noise ratio of the parameter estimation is , This represents the phase offset estimation result based on the pilot. The linear signal-to-noise ratio is used to measure the reliability of the estimate. This represents the equivalent noise power in the estimation result when only pilot symbols are used to estimate the phase deviation between two diversity signals.

[0090] The phase offset between the two diversity signals is estimated using the averaging algorithm based on the inter-symbol difference of data diversity as follows:

[0091] ;

[0092] In the formula, The mean is 0 and the variance is At this point, the linear signal-to-noise ratio of the parameter estimation is , This indicates the phase bias estimation results based on the data. The linear signal-to-noise ratio, This represents the equivalent noise power in the estimation result when the phase deviation is estimated by averaging the data symbols after inter-symbol difference.

[0093] In this embodiment, the phase offset result estimated by the average algorithm after pilot coherent denoising and data diversity symbol difference is denoised using the maximum score set:

[0094] ;

[0095] In the formula, The mean is 0 and the variance is ;

[0096] right Amplitude normalization, retaining only the phase component:

[0097] ;

[0098] The phase offset result estimated by the average algorithm after pilot coherent noise reduction and data diversity inter-symbol difference is used. The maximum score set is used and noise reduction is performed as follows:

[0099] ;

[0100] In the formula, This indicates the final phase bias estimation result. The complex conjugate of the signal is used to perform phase compensation on the second signal, aligning it with the phase of the first signal;

[0101] The linear signal-to-noise ratio of the phase bias parameter estimation after merging is:

[0102] ;

[0103] In the formula, This indicates the final phase bias estimation result. The linear signal-to-noise ratio, This represents the final optimal phase bias estimation result, derived from... and Obtained by merging the largest ratios;

[0104] Therefore, the improvement factor of the linear signal-to-noise ratio in phase bias parameter estimation by the new technology compared to the original technology is:

[0105] .

[0106] In practical waveform structure design, coherent demodulation is generally used to improve communication performance. In this case, let the path noise power of the channel after pilot correlation noise reduction be... It is much smaller than the signal power of 1, which satisfies Otherwise, the channel estimation performance cannot be guaranteed. The improvement factor of the linear signal-to-noise ratio for phase offset parameter estimation is simplified to:

[0107] ;

[0108] make , This indicates the structural ratio of the transmitted signal sequence. This is the ratio of the total symbol length to the pilot length. This value reflects the efficiency of the communication system. The larger the value, the higher the data proportion and the higher the efficiency. The above formula is equivalent to:

[0109] .

[0110] In summary, this invention improves the phase offset estimation accuracy of diversity signals based on a pilot coherent joint data symbol differential algorithm, ultimately ensuring that the combined two-path diversity signal approaches a 3dB performance gain. Compared to phase offset estimation algorithms that rely solely on pilots, the phase offset results are significantly improved. Medium noise component Power ratio Medium noise component The power is significantly reduced, thereby significantly improving the accuracy of the phase bias estimation results.

[0111] From the above ,in, It can be seen that in actual waveform structure design, the number of modulation symbols and pilot symbol number Determined, that is It is certain, considering the proportion of pilot overhead. It should be at least greater than 2, and generally greater than 4, at which point the waveform efficiency is 75%.

[0112] As can be seen from the above formula, Under certain conditions, a higher signal-to-noise ratio (SNR) in the design corresponds to lower noise power, and a more significant performance improvement from new technologies. Under a given SNR in the design... The larger the value, the more significant the performance improvement of the new technology solution.

[0113] when , When, the above formula is At this point, the phase bias parameter estimation performance is improved by 3dB; when , When, the above formula is At this point, the phase bias parameter estimation performance is improved by 3dB; when , When, the above formula is At this point, the phase bias parameter estimation performance is improved by 1.9 dB.

[0114] The simulation performance comparison of the diversity signal phase deviation compensation method based on pilot and data combination of the present invention is as follows:

[0115] In single-carrier frequency hopping communication, 200 hops are simulated under the same hop structure. Based on the working signal-to-noise ratio, white noise is added independently for each hop. In the figure, "PN" indicates that the phase offset of the two diversity signals is estimated by pilots alone, and "PN+Date" indicates that the phase offset is estimated by pilots and data together using the optimized scheme of this application. In the title, R is set to the ratio of the number of modulation symbols N to the number of pilot symbols M in the actual hop structure, M is the setting of the number of pilot symbols, and SNR is set to the working signal-to-noise ratio of the 2-antenna receiver.

[0116] See Figures 2 to 10 As shown, the performance gains of this innovative scheme are compared in three aspects: parameter estimation error, 2-antenna diversity merging gain, and Turbo code decoding performance. These comparisons include phase offset estimation error comparison, diversity merging signal-to-noise ratio gain, and Turbo decoding performance comparison. The simulation evaluations above demonstrate that the proposed solution, based on joint pilot and data estimation of diversity phase offset, can significantly improve phase offset estimation accuracy without increasing pilot overhead. This leads to a 3dB improvement in the merging gain of the two diversity signals, ultimately resulting in a significant improvement in decoding performance and enhancing the competitiveness of practical equipment.

[0117] In a second aspect, the present invention also provides a diversity signal phase deviation compensation system based on pilot and data combination, comprising:

[0118] The differential calculation and averaging module is used to receive two diversity signal sequences, calculate the difference between the two diversity signal sequences received at the target symbol position according to the received signal sequence model, and average the difference results between all data symbols to reduce noise.

[0119] The signal-to-noise ratio (SNR) calculation module is used to estimate the phase offset between two diversity signals based on the pilot coherent noise reduction and the average algorithm after the data diversity symbol differential, and to calculate the parameter estimated linear SNR.

[0120] The maximum ratio merging noise reduction module is used to combine the phase offset results estimated by the pilot coherent noise reduction and the data diversity symbol difference averaging algorithm with the maximum ratio merging and noise reduction to obtain the improved linear signal-to-noise ratio of the phase offset parameter estimate.

[0121] As a further embodiment of the present invention, the diversity signal phase deviation compensation system based on pilot and data combination further includes a phase compensation execution module, which is used to receive the final phase deviation estimate output by the maximum ratio combining noise reduction module, and apply the phase deviation estimate as a compensation amount to one of the diversity signals to eliminate the phase deviation between the two signals.

[0122] Through the detailed steps described above, the diversity signal phase deviation compensation system based on pilot and data combination of the present invention is used to execute the steps of the diversity signal phase deviation compensation method based on pilot and data combination in the above embodiments, which will not be repeated here.

[0123] This invention presents a pilot-data combined diversity signal phase offset compensation method and system. It employs a maximum ratio merging algorithm to combine two phase offset estimation schemes—data symbol differential averaging and pilot coherent differential—for two diversity received signals. This innovative algorithm is used in waveform design, eliminating the need for additional pilot overhead compared to a single-channel diversity signal, thus improving waveform design efficiency and ensuring optimal performance of the two-channel diversity waveform design scheme. Compared to traditional diversity merging techniques that rely solely on pilot estimation for phase offset, this application adds data resource estimation to determine the phase offset between the two diversity signals. By using maximum ratio merging to combine the pilot phase offset results, the accuracy of phase offset estimation for the merged two diversity signals is significantly improved. The signal-to-noise ratio of the merged signal approaches 3dB, ultimately improving decoding performance. Furthermore, this technique reduces pilot overhead in waveform design, thereby enhancing equipment performance.

[0124] The above are exemplary embodiments disclosed in this invention. However, it should be noted that various changes and modifications can be made without departing from the scope of the embodiments of this invention as defined by the claims. The functions, steps, and / or actions of the methods according to the disclosed embodiments described herein do not need to be performed in any particular order. Furthermore, although the elements disclosed in the embodiments of this invention may be described or claimed individually, they may be understood as multiple unless explicitly limited to a singular number.

[0125] It should be understood that, as used in this application, the singular form "a" is intended to include the plural form as well, unless the context clearly supports an exception. It should also be understood that, as used in this application, "and / or" refers to any and all possible combinations of one or more of the associatedly listed items. The embodiment numbers disclosed above are for descriptive purposes only and do not represent the superiority or inferiority of the embodiments.

[0126] Those skilled in the art should understand that the discussion of any of the above embodiments is merely exemplary and is not intended to imply that the scope of the invention (including the claims) is limited to these examples. Within the framework of the invention, technical features of the above embodiments or different embodiments can be combined, and many other variations of different aspects of the invention exist, which are not provided in the details for the sake of brevity. Therefore, any omissions, modifications, equivalent substitutions, improvements, etc., made within the spirit and principles of the invention should be included within the protection scope of the invention.

Claims

1. A method for compensating phase deviation of diversity signals based on pilot and data combination, characterized in that, The method includes the following steps: The difference between the two diversity signal sequences received at the target symbol position is calculated by the received signal sequence model, and the noise is reduced by averaging the difference results between all data symbols. The phase offset between the two diversity signals is estimated based on the pilot coherent noise reduction and the data diversity symbol differential averaging algorithm, and the parameter estimation linear signal-to-noise ratio is calculated. The phase offset results estimated by the average algorithm after pilot coherent denoising and data diversity symbol difference are denoised using the maximum score set to obtain the improved linear signal-to-noise ratio of the phase offset parameter estimate.

2. The diversity signal phase deviation compensation method based on pilot and data combination as described in claim 1, characterized in that, In the proposed diversity signal phase deviation compensation method based on pilot and data integration, only one phase deviation exists between the two received diversity signals. During processing of the two diversity signals, the channel response within the same frequency range is single-path, and the power is identical. Let the transmitted signal length be... sequence ,in, The symbol represents the first The complex baseband signal transmitted by the sequence index, This represents the total symbol length of the transmitted signal sequence. Here, the sequence index represents the time index of the symbol in the sequence, where, The diversity signal phase deviation compensation method based on pilot and data combination also includes length pilot sequence , No. Path diversity received signal channel response ;in, Indicates the length of the pilot sequence. Indicates the first Known pilot symbols transmitted by position subscripts, This is the position index of the pilot sequence, used to locate the specific position of the pilot in the sequence; Indicates the first The channel response of the received signal on the diversity channel. Indicates the index of the diversity channel.

3. The diversity signal phase deviation compensation method based on pilot and data combination as described in claim 2, characterized in that, If the power is 1, under the condition of receiving synchronization, the received signal sequence model is: ； in, For the first On the diversity channel of the road, the first A received signal sequence model at each symbol position; For the first On the diversity channel of the road, the first The received signal at each symbol position A white noise sequence with variance of .

4. The diversity signal phase deviation compensation method based on pilot and data combination as described in claim 3, characterized in that, When calculating the difference between the two diversity signal sequences received at the target symbol position using the received signal sequence model, the received signal sequence model... Calculate the first Differential reception of diversity signals at each symbol location The expanded result is: ； Simplified to: ； In the formula, Indicates the noise of the first channel. The complex conjugate, Indicates the first signal The complex conjugate, This represents the complex conjugate of the channel response received on the first diversity channel. The equivalent noise term is the sum of all noise cross terms after the formula is expanded. The mean is 0 and the variance is ; The average noise reduction of all data symbol difference results is: ； In the formula, This represents the complex numerical result of the phase deviation between two diversity signals estimated using an inter-symbol difference averaging algorithm based on the data symbols. The mean is 0 and the variance is .

5. The diversity signal phase deviation compensation method based on pilot and data combination as described in claim 4, characterized in that, The phase offset between the two diversity signals is estimated based on pilot coherent noise reduction: ； In the formula, This represents the complex numerical result of the phase deviation between two diversity signals estimated using a coherent noise reduction algorithm based on pilot symbols. The mean is 0 and the variance is At this point, the linear signal-to-noise ratio of the parameter estimation is , This represents the phase offset estimation result based on the pilot. The linear signal-to-noise ratio is used to measure the reliability of the estimate. This represents the equivalent noise power in the estimation result when only pilot symbols are used to estimate the phase deviation between two diversity signals.

6. The diversity signal phase deviation compensation method based on pilot and data combination as described in claim 5, characterized in that, The phase offset between the two diversity signals is estimated using the averaging algorithm after inter-symbol difference in data diversity: ； In the formula, The mean is 0 and the variance is At this point, the linear signal-to-noise ratio of the parameter estimation is , This indicates the phase bias estimation results based on the data. The linear signal-to-noise ratio, This represents the equivalent noise power in the estimation result when the phase deviation is estimated by averaging the data symbols after inter-symbol difference.

7. The diversity signal phase deviation compensation method based on pilot and data combination as described in claim 6, characterized in that, The phase offset result estimated by the average algorithm after pilot coherent denoising and data diversity inter-symbol difference is then denoised using the maximum score set: ； In the formula, The mean is 0 and the variance is ; right Amplitude normalization, retaining only the phase component: ； The phase offset result estimated by the average algorithm after pilot coherent noise reduction and data diversity inter-symbol difference is used. The maximum score set is used and noise reduction is performed as follows: ； In the formula, This indicates the final phase bias estimation result. The complex conjugate of the signal is used to perform phase compensation on the second signal, aligning it with the phase of the first signal; The linear signal-to-noise ratio of the phase bias parameter estimation after merging is: ； In the formula, This indicates the final phase bias estimation result. The linear signal-to-noise ratio, This represents the final optimal phase bias estimation result, derived from... and Obtained by merging the largest ratios; The improvement factor of the linear signal-to-noise ratio for phase bias parameter estimation is: 。 8. The diversity signal phase deviation compensation method based on pilot and data combination as described in claim 7, characterized in that, let... After pilot correlation denoising, the path noise power of the channel is ,satisfy The improvement factor of the linear signal-to-noise ratio for phase bias parameter estimation is simplified to: ； make , This indicates the structural ratio of the transmitted signal sequence. That is, the ratio of the total symbol length to the pilot length, the above formula is equivalent to: 。 9. A diversity signal phase deviation compensation system based on pilot and data combination, characterized in that, For performing the diversity signal phase deviation compensation method based on pilot and data combination as described in any one of claims 1-8, the system comprises: The differential calculation and averaging module is used to receive two diversity signal sequences, calculate the difference between the two diversity signal sequences received at the target symbol position according to the received signal sequence model, and average the difference results between all data symbols to reduce noise. The signal-to-noise ratio (SNR) calculation module is used to estimate the phase offset between two diversity signals based on the pilot coherent noise reduction and the average algorithm after the data diversity symbol differential, and to calculate the parameter estimated linear SNR. The maximum ratio merging noise reduction module is used to combine the phase offset results estimated by the pilot coherent noise reduction and the data diversity symbol difference averaging algorithm with the maximum ratio merging and noise reduction to obtain the improved linear signal-to-noise ratio of the phase offset parameter estimate.

10. The diversity signal phase deviation compensation system based on pilot and data combination as described in claim 9, characterized in that, The diversity signal phase deviation compensation system based on pilot and data combination further includes a phase compensation execution module, which receives the final phase deviation estimate output by the maximum ratio combining noise reduction module, and applies the phase deviation estimate as a compensation amount to one of the diversity signals to eliminate the phase deviation between the two signals.

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