Method for correcting phases of inner and outer rings after power amplification and related equipment

Abstract

The invention provides a method for correcting phases of an inner ring and an outer ring after power amplification and related equipment, and relates to the technical field of multi-path complex channels. And dividing the multipath complex signal into an inner ring and an outer ring. And performing exponentiation on the inner ring signal to eliminate the phase of the modulation information, and only remaining the residual phase information at the moment. The accumulation processing can integrate the phase information of a plurality of sampling points, and further highlights the overall phase change trend. In the phase calculation, the processed information is converted into phase data which can be directly analyzed, the phase offset is accurately calculated and corrected based on the phase data obtained in the previous steps by changing the direction and performing the extraction operation, the problems of inconsistent phases of the inner ring and the outer ring and disordered relative positions caused by a power amplifier are solved, and the communication quality and the system performance are improved.

Description

Technical Field

[0001] This application relates to the technical field of multipath complex channels, and in particular, to a method for correcting the inner and outer circle phases after power amplification and related devices. Background Art

[0002] In the field of modern communication technologies, with the continuous development of wireless communication systems in scenarios such as 5G large-scale MIMO communication, satellite communication, and high-rate data transmission, the requirements for signal transmission accuracy and reliability are increasing day by day. Although power amplifier technology has continued to progress, it is still difficult to avoid the influence of nonlinear characteristics. As a key component for enhancing signal power for transmission, the performance of the power amplifier directly affects the signal transmission effect in different scenarios. For example, in 5G large-scale MIMO communication, it affects the signal synchronization and combination of multi-antenna systems; in satellite communication, it causes serious signal distortion after long-distance transmission; in high-rate data transmission, it causes data error accumulation and rate reduction. Moreover, as communication technologies develop towards higher frequencies, larger bandwidths, and more complex modulation methods, the influence of power amplifier nonlinearity on signal phase becomes more significant.

[0003] Due to power amplifier nonlinearity, the inner and outer circle phases of the signal are inconsistent and the relative positions change after passing through the power amplifier. Please refer to Figure 1 and Figure 2 , Figure 1 is the constellation diagram of the multi-path complex signal with a 3 dBc back-off after the input power amplifier in this application; Figure 2 is the constellation diagram of the multi-path complex signal with a 6 dBc back-off after the input power amplifier in this application; the red area is the signal before the input power amplifier, and the blue area is the signal after the input power amplifier; the traditional equalizer misadjusts the phase according to the overall uniformity assumption, resulting in more chaos. Since the frequency offset correction only focuses on the overall frequency change and cannot restore the correct phase relationship between the inner and outer circles, the receiving end cannot accurately restore the original phase, resulting in a large bit error rate and seriously affecting the communication quality and system performance.

[0004] In summary, considering that power amplifier nonlinearity causes the inner and outer circle phases of the signal in the multi-path complex channel to be inconsistent, and the related technologies cannot solve the above problems. Summary of the Invention

[0005] This application provides a method for correcting the inner and outer circle phases after power amplification and related devices, which is used to solve the problems of inconsistent inner and outer circle phases and disordered relative positions caused by the power amplifier, and improve the communication quality and system performance.

[0006] In a first aspect, the present application provides a method for correcting the phase of the inner and outer circles after power amplification, including: dividing the multipath complex signal to obtain an inner circle signal and an outer circle signal; performing a preset number of power operations on the inner circle signal to obtain a first complex signal; performing an accumulation process on the first complex signal; calculating the phase of the accumulated first complex signal to obtain first phase data; changing the direction of the first phase data so that the direction of the first phase data is reversed; performing a square root operation on the changed first phase data to obtain a first phase offset, and the first phase offset is used to correct the phase of the outer circle signal and the inner circle signal; performing a preset number of power operations on the outer circle signal to obtain a second complex signal; performing an accumulation process on the second complex signal; calculating the phase of the accumulated second complex signal to obtain second phase data; changing the direction of the second phase data so that the direction of the second phase data is reversed; performing a square root operation on the changed second phase data to obtain a second phase offset, and the second phase offset is used to correct the phase of the outer circle signal.

[0007] By adopting the above technical solution, the inner and outer circles of the multipath complex signal are divided. The power operation is performed on the inner circle signal to eliminate the phase of the modulation information, and only the residual phase information remains at this time. The accumulation process can synthesize the phase information of multiple sampling points and further highlight the overall phase change trend. The phase calculation converts the processed information into directly analyzable phase data. The direction change and square root operation are based on the phase data obtained from the previous steps, accurately calculating the phase offset and correcting it, solving the problem of inconsistent phases and disordered relative positions of the inner and outer circles caused by power amplification, and improving the communication quality and system performance.

[0008] Combined with some embodiments of the first aspect, in some embodiments, the step of dividing the multipath complex signal to obtain an inner circle signal and an outer circle signal specifically includes: dividing the multipath complex signal according to the mean power of the multipath complex signal and a preset division function to obtain the boundary between the inner circle signal and the outer circle signal;

[0009]

[0010]

[0011] In the formula, R1 is the radius value of the first circle signal, R2 is the radius value of the second circle signal, R3 is the radius value of the third circle signal, pow_rms is the mean power of the multipath complex signal, γ1 is the radius ratio of the second circle signal to the first circle signal, γ2 is the radius ratio of the third circle signal to the first circle signal, er1 is the boundary between the first circle signal and the second circle signal, er2 is the boundary between the second circle signal and the third circle signal, the first circle signal and the second circle signal are the inner circle signals, and the third circle signal is the outer circle signal.

[0012] Divide the multipath complex signal according to the boundary to obtain the inner-circle signal and the outer-circle signal.

[0013] By adopting the above technical solution, the mean power of the multipath complex signal reflects the overall energy intensity distribution of the signal. The preset division function is set according to the law of the influence of the power amplifier on the signals in different regions. When the signal passes through the power amplifier, the distribution of its energy in the inner and outer circles will change, and this change is associated with the mean power. By combining the two to determine the boundary, the inner-circle signal and the outer-circle signal can be accurately identified based on the energy difference. Even in the case where the multipath channel makes the signal complex and difficult to distinguish, the problem of difficult distinction between the inner-circle signal and the outer-circle signal can be effectively overcome.

[0014] Combined with some embodiments of the first aspect, in some embodiments, after the step of dividing the multipath complex signal according to the boundary to obtain the inner-circle signal and the outer-circle signal, the method further includes: performing MMA processing on the inner-circle signal and the outer-circle signal; regarding the inner-circle signal and the outer-circle signal after MMA processing as the inner-circle signal and the outer-circle signal.

[0015] By adopting the above technical solution, the MMA processing performs adaptive equalization based on the high-order statistics of the signal. Under the dual influence of the multipath channel and the power amplifier, the signal not only has phase distortion but also has various changes such as amplitude. The MMA processing can dynamically sense these complex changes of the signal in the inner and outer circles by analyzing the high-order statistics of the signal. For example, it can adjust its own parameters according to the instantaneous fluctuation of the signal, optimize the inner-circle signal and the outer-circle signal respectively, compensate for the distortion caused by multipath propagation and the nonlinearity of the power amplifier, significantly improve the quality of the signal before entering the subsequent phase correction link, enhance the adaptability of the entire phase correction scheme to the complex channel environment, and lay a better foundation for accurate phase correction.

[0016] Combined with some embodiments of the first aspect, in some embodiments, the step of obtaining the first complex signal by performing a preset number of power operations on the inner-circle signal specifically includes:

[0017]

[0018] In the formula, S K ′ is the first complex signal, S K is the inner-circle signal, j is the signal representation in complex form, K is the sampling points at different times, is the frequency offset, T b is the bit period, is the initial phase offset, and A is the residual phase information.

[0019] By adopting the above technical solution, parameters in the power operation, such as frequency offset, bit period, initial phase offset, etc., interact with the inner loop signal. The frequency offset and bit period reflect the time and frequency characteristics of the signal during transmission, and the initial phase offset reflects the initial influence of the power amplifier on the signal. When performing the power operation, these parameters change the phase distribution of the inner loop signal, just like re - arranging the signal in the phase space. This arrangement enables the phase disorder information caused by the power amplifier non - linearity to stand out from the original complex signal structure and can be more accurately captured and processed in subsequent steps such as accumulation and phase calculation, creating favorable conditions for accurately calculating the phase offset and effectively correcting it, and improving the accuracy of the phase correction for the inner loop signal.

[0020] Combined with some embodiments of the first aspect, in some embodiments, the step of calculating the first phase data from the accumulated first complex signal specifically includes: retaining the previous and the subsequent first phase data; unwrapping the subsequent first phase data according to the previous first phase data.

[0021] By adopting the above technical solution, under the action of a multipath complex channel and a power amplifier, the signal phase will experience a complex change process. Retaining the previous and the subsequent first phase data can establish a comparison reference system for the phase change. Due to the dynamic nature of the channel environment and the non - linearity of the power amplifier, the phase may exhibit rapid and irregular fluctuations or even winding phenomena. The unwrapping operation effectively solves the problem caused by phase winding, enabling the phase data to be presented in a more continuous and real state.

[0022] Combined with some embodiments of the first aspect, in some embodiments, the step of unwrapping the subsequent first phase data according to the previous first phase data specifically includes: when the absolute value of the difference between the subsequent first phase data and the previous first phase data is greater than a preset threshold, adding or subtracting an integer multiple of 2π to the subsequent first phase data so that the absolute value of the difference between the adjusted subsequent first phase data and the previous first phase data is less than or equal to the preset threshold.

[0023] By adopting the above technical solution, when the difference between the subsequent first phase data and the previous first phase data exceeds the preset threshold, it indicates that a large - amplitude abnormal change has occurred in the phase, most likely caused by phase winding. By adjusting by adding or subtracting an integer multiple of 2π, the phase data is pulled back into a reasonable change range, restoring the logical coherence of the phase data. This precise unwrapping method can effectively avoid phase correction deviation caused by misinterpreting the phase data, ensuring that the first phase data can truly and accurately reflect the actual phase state of the inner loop signal under the influence of a multipath complex channel and a power amplifier.

[0024] In some embodiments in combination with some embodiments of the first aspect, after the step of performing a preset first number of power operations on the inner circle signal to obtain a first complex signal, the method further includes: performing a preset first number of power operations on the standard inner circle signal to obtain the phase of the modulation information; subtracting the phase of the modulation information from the first complex signal; and regarding the first complex signal after the subtraction as the first complex signal.

[0025] By adopting the above technical solution, under the influence of a multipath complex channel and a power amplifier, the phase of the modulation information of the signal is intertwined with the phase deviation caused by transmission. First, performing a power operation on the standard inner circle signal to obtain the phase of the modulation information and subtracting it can accurately eliminate the interference of the modulation information on phase correction. This operation can effectively improve the accuracy of phase calculation, enabling subsequent operations such as accumulation and phase calculation based on the processed first complex signal to focus more on the true phase changes caused by the channel and the power amplifier.

[0026] In a second aspect, the present application provides a method for correcting the inner and outer circle phases after passing through a power amplifier. The method for correcting the inner and outer circle phases after passing through a power amplifier includes: one or more processors and a memory; the memory is coupled to the one or more processors, and the memory is used to store computer program code, the computer program code includes computer instructions, and the one or more processors call the computer instructions to cause the method for correcting the inner and outer circle phases after passing through a power amplifier to execute the method described in the first aspect and any possible implementation manner in the first aspect.

[0027] In a third aspect, the present application provides a computer program product containing instructions. When the computer program product runs on the method for correcting the inner and outer circle phases after passing through a power amplifier, it causes the method for correcting the inner and outer circle phases after passing through a power amplifier to execute the method described in the first aspect and any possible implementation manner in the first aspect.

[0028] In a fourth aspect, the present application provides a computer-readable storage medium including instructions. When the instructions run on the method for correcting the inner and outer circle phases after passing through a power amplifier, it causes the method for correcting the inner and outer circle phases after passing through a power amplifier to execute the method described in the first aspect and any possible implementation manner in the first aspect.

[0029] One or more technical solutions provided in the embodiments of the present application have at least the following technical effects or advantages:

[0030] 1. Divide the multi-path complex signal into inner and outer circles. Perform a power operation on the inner circle signal to eliminate the phase of the modulation information, leaving only the residual phase information. The accumulation process can synthesize the phase information of multiple sampling points, further highlighting the overall phase change trend. The phase calculation converts the processed information into directly analyzable phase data. The direction change and square root operation are based on the phase data obtained from the previous steps, accurately calculating and correcting the phase offset, solving the problem of inconsistent phase and disordered relative positions between the inner and outer circles caused by the power amplifier, and improving the communication quality and system performance.

[0031] 2. The mean power of the multi-path complex signal reflects the overall energy intensity distribution of the signal. The preset division function is set according to the law of the influence of the power amplifier on the signals in different regions. When the signal passes through the power amplifier, the distribution of its energy in the inner and outer circles will change, and this change is associated with the mean power. By combining the two to determine the boundary, the inner circle signal and the outer circle signal can be accurately identified based on the energy difference. Even in the case where the multi-path channel makes the signal complex and difficult to distinguish, the problem of difficult distinction between the inner circle signal and the outer circle signal can be effectively overcome.

[0032] 3. The MMA processing performs adaptive equalization based on the high-order statistics of the signal. Under the dual influence of the multi-path channel and the power amplifier, the signal not only has phase distortion but also various changes such as amplitude. The MMA processing can dynamically perceive these complex changes of the signal in the inner and outer circles by analyzing the high-order statistics of the signal. For example, it can adjust its own parameters according to the instantaneous fluctuation of the signal, optimize the inner circle signal and the outer circle signal respectively, compensate for the distortion caused by multi-path propagation and the non-linearity of the power amplifier, significantly improve the quality of the signal before entering the subsequent phase correction link, enhance the adaptability of the entire phase correction scheme to the complex channel environment, and lay a better foundation for accurate phase correction. Description of the Drawings

[0033] Figure 1 is the constellation diagram of the multi-path complex signal with a 3 dBc back-off after the input power amplifier in this application;

[0034] Figure 2 is the constellation diagram of the multi-path complex signal with a 6 dBc back-off after the input power amplifier in this application;

[0035] Figure 3 is a schematic flowchart of the inner and outer circle phase correction method after passing through the power amplifier in an embodiment of this application;

[0036] Figure 4 is the constellation diagram of the multi-path complex signal only after passing through the input power amplifier in this application;

[0037] Figure 5It is the constellation diagram of the multipath complex signal that superimposes the multipath channel and frequency offset after passing through the input power amplifier in this application;

[0038] Figure 6 It is the constellation diagram of amplitude-phase modulation in this application;

[0039] Figure 7 is Figure 5 It is the constellation diagram of the multipath complex signal after being processed through steps S1011 to S1014;

[0040] Figure 8 is Figure 7 It is the constellation diagram of the multipath complex signal after being processed through steps S101 to S111;

[0041] Figure 9 It is an exemplary hardware structure schematic diagram of the inner and outer ring phase correction system after power amplification in the embodiments of this application. Detailed implementation manners

[0042] The terms used in the following embodiments of this application are only for the purpose of describing specific embodiments, and are not intended to limit this application. As used in the specification and appended claims of this application, the singular forms "a", "an", "the", "above", "said", "this" are also intended to include the plural forms, unless there is a clear indication to the contrary in the context. It should also be understood that the term " / and" used in this application refers to and includes any or all possible combinations of one or more of the listed items.

[0043] Hereinafter, the terms "first" and "second" are only used for descriptive purposes and cannot be understood as implying or indicating relative importance or implicitly specifying the quantity of the indicated technical features. Thus, the features defined with "first" and "second" may explicitly or implicitly include one or more of such features. In the description of the embodiments of this application, unless otherwise stated, the meaning of "a plurality" is two or more.

[0044] Please refer to Figure 3 , Figure 3 It is a flow schematic diagram of the inner and outer ring phase correction method after power amplification in the embodiments of this application;

[0045] S101. Divide the multipath complex signal to obtain an inner ring signal and an outer ring signal;

[0046] Among them, the "multipath complex signal" refers to the signal formed by the superposition of signals that reach the receiving end through multiple different paths in a wireless communication environment. These paths include direct wave, reflection, refraction, etc. For example, in an environment with high-rise buildings in the city, the mixed signal formed after the signal is continuously reflected and refracted on the building surface and then reaches the receiving end is a multipath complex signal. The "inner circle signal" and the "outer circle signal" refer to the signals in different regions divided according to certain characteristics (such as power, phase, etc.) of the signal in the multipath complex signal, which can be analogized to the signals within annular regions with different radius ranges centered on the signal source.

[0047] In order to process and correct the phase of the signal more accurately later, it is necessary to divide the multipath complex signal. Specifically, the multipath complex signal is divided according to the mean power of the multipath complex signal and a preset division function to obtain the boundary between the inner circle signal and the outer circle signal, so as to determine the inner circle signal and the outer circle signal.

[0048] S102: Perform a preset number of power operations on the inner circle signal to obtain a first complex signal;

[0049] In some specific embodiments;

[0050] First, describe the principle: Determine the QPSK signal part in the inner circle signal. For the QPSK signal, its ideal phase is [p / 4, 3p / 4, -p / 4, -3p / 4]. According to the complex power operation rule, assume that the complex representation of the QPSK signal at a certain moment is S K = Aexp(jθ) (where A is the amplitude and θ is the phase). After performing 4 power operations on it, we get S K 4 = A 4 exp(j4θ).

[0051] When performing 4 power operations on the ideal phase, for the new phase is Finally, we get [pi, 3*pi, -pi, -3*pi], that is, [pi, pi, -pi, -pi]. In fact, pi and -pi are the same. Therefore, subtracting pi from this result eliminates the phase of the modulation information, and only the residual phase information remains at this time.

[0052] Based on the above principle, the function is obtained as:

[0053]

[0054] In the formula, S K ′ is the first complex signal, S [[ID=�8]] K is the inner circle signal, j is the signal representation in complex form, K is the sampling point at different times, is the frequency offset, Tb is the bit period, is the initial phase offset, and A is the residual phase information.

[0055] It can be seen that the parameters in the power operation, such as frequency offset, bit period, initial phase offset, etc., interact with the inner loop signal. The frequency offset and bit period reflect the time and frequency characteristics of the signal during transmission, and the initial phase offset reflects the initial influence of the power amplifier on the signal. When the power operation is performed, these parameters will change the phase distribution of the inner loop signal, just like re - arranging the signal in the phase space. This layout enables the phase disorder information caused by the power amplifier non - linearity to stand out from the original complex signal structure and can be more accurately captured and processed in subsequent steps such as accumulation and phase calculation, creating favorable conditions for accurately calculating the phase offset and making effective corrections, and improving the accuracy of the phase correction for the inner loop signal.

[0056] It should be noted that the power operation is negatively correlated with the angle. Taking the angles of the specific inner loop and outer loop signals as an example, the angle of the inner loop signal is 45°. When performing the fourth - power operation on it, according to the complex - number power - operation rule, in the complex plane, the argument of the complex number will be amplified by the multiple of the power, and its angle changes by 180°. Similarly, the angle of the outer loop signal is 15°. After 12 - power operations, its angle becomes 180°. Through such power operations, the phases of the inner loop and outer loop signals are successfully unified to 180°. Since this angle is exactly one of the key angles of the QPSK signal, unifying the phase is helpful for subsequent operations. When the signal is at 180°, it is convenient to subtract the phase of the QPSK signal modulation information. Since the QPSK signal modulation information has a specific manifestation at this angle, by subtracting the phase of this modulation information, the residual phase information caused by factors such as the power amplifier can be accurately extracted.

[0057] S103. Perform an accumulation process on the first complex signal;

[0058] This step is carried out after obtaining the first complex signal. Since the first complex signal presents different complex - number values based on each moment or sampling point, and the influences of the multipath complex channel and the power amplifier, etc., act continuously throughout the signal - transmission process. Through the accumulation process, the change information of the phase, amplitude, etc. of the inner loop signal carried by the first complex signal at different moments or sampling points can be summarized, so as to more macroscopically reflect the overall change trend of the inner loop signal in a certain interval, facilitating subsequent accurate operations such as phase calculation, excavating more representative phase characteristics of the inner loop signal, and providing a more reliable data basis for phase correction.

[0059] In some specific embodiments, a time interval for accumulation or a range of sampling points is determined. For example, it is set to 10 consecutive sampling periods or 50 sampling points, etc. A suitable range is selected according to actual signal processing requirements and considerations such as computational complexity and accuracy.

[0060] Starting from the initial moment or sampling point, the complex number values (including the real part and the imaginary part) corresponding to the first complex signal are sequentially taken out in order, and operations of adding the corresponding real parts and adding the imaginary parts are performed on them. For example, if the complex number at the first sampling point is z1 = a1 + b1j and the complex number at the second sampling point is z2 = a2 + b1j, then the real part after accumulation is a1 + a2, and the imaginary part is b1 + b2.

[0061] The above addition operation is continuously performed until all the first complex signals within the set time interval or the range of sampling points are traversed, and finally a complex number result after accumulation is obtained, that is, the signal after the accumulation process is completed.

[0062] S104. Calculate the first phase data for the accumulated first complex signal;

[0063] Phase calculation refers to using a specific mathematical method or algorithm to extract the phase information from the accumulated first complex signal, converting the complex signal into the corresponding phase value. This phase value can intuitively reflect the phase state of the inner circle signal after a series of processes in the multipath complex channel. Commonly used methods include using the argument calculation formula of complex numbers, etc.

[0064] This step is implemented after the accumulation process of the first complex signal is completed. Since the previous operations are all centered around processing the inner circle signal in different ways to highlight its phase change situation, although the accumulated first complex signal contains phase information, it is still in complex form, which is not conducive to subsequent operations such as direct phase correction. Through phase calculation, it is converted into specific first phase data, and then the current phase state of the inner circle signal can be clearly known, which is convenient for subsequent further comparison, analysis, and operations such as changing the direction and calculating the phase offset based on this data, so as to more accurately correct the phase of the inner circle signal.

[0065] In the actual use process, the phase itself has the characteristic of cycling with a period. When the accumulated phase change amount exceeds an integer multiple of the period or decreases to less than 0, the phase wrapping phenomenon will inevitably occur.

[0066] Therefore, in some other embodiments, between step S104 and step S105, it further includes:

[0067] S201. Retain the two adjacent first phase data;

[0068] S202. Unwrap the next first-phase data based on the previous first-phase data.

[0069] In some embodiments, step S202 specifically includes: when the absolute value of the difference between the next first-phase data and the previous first-phase data is greater than a preset threshold, add or subtract an integer multiple of 2π to the next first-phase data so that the absolute value of the difference between the adjusted next first-phase data and the previous first-phase data is less than or equal to the preset threshold.

[0070] This step is usually performed when a series of first-phase data has been obtained (for example, by performing operations such as phase calculation on a signal to obtain phase data at different times in sequence), and coherence and accuracy processing need to be carried out on these phase data, especially to avoid or solve the phase wrapping problem and ensure that subsequent signal processing based on the phase data (such as phase offset calculation, phase correction, etc.) can be accurately performed.

[0071] After obtaining the previous and next first-phase data in sequence, it is necessary to compare the absolute value of their difference with the preset threshold. If the absolute value of this difference is greater than the preset threshold, it means that the phase change amplitude is large, and there may be phase wrapping or abnormal changes that do not meet the requirements of subsequent processing accuracy. At this time, in order to restore the phase data to a reasonable range that can accurately reflect the actual phase change of the signal, it is necessary to adjust the next first-phase data by adding or subtracting an integer multiple of 2π. The specific adjustment method is to continuously try to add or subtract different integer multiples of 2π until the absolute value of the difference between the adjusted next first-phase data and the previous first-phase data is less than or equal to the preset threshold. In this way, the phase data is more coherent logically and can be more accurately used in subsequent signal processing steps, avoiding processing errors caused by abnormal phase data.

[0072] It can be seen that when the difference between the next first-phase data and the previous first-phase data exceeds the preset threshold, it indicates that a large abnormal change has occurred in the phase, most likely due to phase wrapping. By adding or subtracting an integer multiple of 2π for adjustment, the phase data is pulled back into a reasonable change range, restoring the logical coherence of the phase data. This precise unwrapping method can effectively avoid phase correction deviation caused by misinterpreting the phase data, ensuring that the first-phase data can truly and accurately reflect the actual phase state of the inner-ring signal under the influence of a multipath complex channel and power amplifier.

[0073] It can be seen that under the action of a multipath complex channel and a power amplifier, the signal phase will undergo a complex change process. Retaining the first two phase data before and after can establish a comparison reference system for phase changes. Due to the dynamic nature of the channel environment and the nonlinearity of the power amplifier, the phase may exhibit rapid and irregular fluctuations, or even winding phenomena. The unwrapping operation effectively solves the problems caused by phase winding, enabling the phase data to be presented in a more continuous and real state.

[0074] S105. Change the direction of the first phase data so that the direction of the first phase data is opposite;

[0075] Under the influence of factors such as a multipath complex channel and a power amplifier, the phase of the inner loop signal is distorted. Although the first phase data obtained in the previous steps reflects the current phase state, in order to accurately obtain the offset used to correct the phase through appropriate operations in the subsequent steps, its direction needs to be changed so that the relationship between the phases is more in line with the logic of subsequent calculations and corrections. By changing the direction, an inverse relationship corresponding to the original phase deviation can be constructed, facilitating the subsequent calculation of an accurate phase correction amount through operations such as square root extraction, thereby better restoring the original phase of the inner loop signal.

[0076] In some embodiments, through mathematical operations, the angle value is changed to its opposite number to complete the opposite direction.

[0077] S106. Perform a square root operation on the changed first phase data to obtain a first phase offset, which is used to correct the phases of the outer loop signal and the inner loop signal;

[0078] This step is executed after changing the direction of the first phase data. Since the previous series of steps are all gradually analyzing and processing the phase situation of the inner loop signal, at this step, although the changed first phase data reflects the inverse relationship of the phase, it cannot be directly used for correction. Through the square root operation, the value reflecting the phase change can be converted into a quantity that can more directly reflect the degree of phase offset, that is, the first phase offset. This offset, combined with the characteristics of the inner loop signal itself and the requirements of the communication system, can accurately guide how to adjust the phase of the inner loop signal, thereby effectively correcting the phase distortion of the inner loop signal caused by factors such as a multipath complex channel and a power amplifier.

[0079] S107. Perform a preset second - order power operation on the outer loop signal to obtain a second complex signal;

[0080] It should be noted that the general principle and process of this step are similar to those of step S102. The relevant principles and processes can be referred to in step S102 and will not be elaborated here.

[0081] S108. Perform an accumulation process on the second complex signal;

[0082] It should be noted that the general principle and process of this step are similar to those of step S103. For the relevant principles and processes, reference can be made to step S103, and they will not be elaborated here.

[0083] S109. Calculate the second phase data by performing a phase calculation on the accumulated second complex signal;

[0084] It should be noted that the general principle and process of this step are similar to those of step S104. For the relevant principles and processes, reference can be made to step S104, and they will not be elaborated here.

[0085] S110. Change the direction of the second phase data to make the direction of the second phase data opposite;

[0086] It should be noted that the general principle and process of this step are similar to those of step S105. For the relevant principles and processes, reference can be made to step S105, and they will not be elaborated here.

[0087] S111. Perform a square root operation on the changed second phase data to obtain a second phase offset, and the second phase offset is used to perform phase correction on the outer ring signal.

[0088] It should be noted that the general principle and process of this step are similar to those of step S106. For the relevant principles and processes, reference can be made to step S106, and they will not be elaborated here.

[0089] It can be seen that the multi-path complex signal is divided into inner and outer rings. A power operation is performed on the inner ring signal to eliminate the phase of the modulation information, and only the residual phase information remains at this time. The accumulation process can synthesize the phase information of multiple sampling points and further highlight the overall phase change trend. The phase calculation converts the processed information into directly analyzable phase data. The direction change and square root operation are based on the phase data obtained in the previous steps, accurately calculating the phase offset and correcting it, solving the problems of inconsistent phases and disordered relative positions between the inner and outer rings caused by the power amplifier, and improving the communication quality and system performance.

[0090] In the actual application of the communication scenario, the interference factors faced by the signal are intricate. There is not only the problem of non-linear phase distortion caused by the power amplifier (please refer to Figure 4 , Figure 4 which is the constellation diagram of the multi-path complex signal only after passing through the input power amplifier in this application), but the influence brought by the multi-path channel cannot be ignored either (please refer to Figure 5 , Figure 5It is the constellation diagram of the multipath complex signal that superimposes the multipath channel and frequency offset after passing through the input power amplifier in this application. The multipath channel causes the signal to propagate along different paths, which vary in length, number of reflections, and surrounding medium, etc., resulting in a chaotic superimposed effect of the signal in terms of time, phase, and amplitude when it reaches the receiving end. For example, in an environment with high-rise buildings in the city, the signal will be repeatedly reflected and refracted on the surfaces of numerous buildings, causing multiple copies of the same signal to reach the receiving end at different times, resulting in severe multipath interference.

[0091] At the same time, the frequency offset output is also a problem (please refer to Figure 5 , Figure 5 It is the constellation diagram of the multipath complex signal that superimposes the multipath channel and frequency offset after passing through the input power amplifier in this application. Due to various factors, such as the clock deviation between the transmitter and the receiver, frequency-selective fading in the channel, etc., the frequency of the signal may deviate from its original set value. This frequency offset phenomenon will further disrupt the phase relationship of the signal because there is a close internal connection between frequency and phase, and a change in frequency will necessarily cause a corresponding change in phase.

[0092] In some embodiments, step S101 specifically includes:

[0093] S1011. Divide the multipath complex signal according to the mean power of the multipath complex signal and a preset partitioning function to obtain the boundary between the inner circle signal and the outer circle signal;

[0094]

[0095] In the formula, R1 is the radius value of the first circle signal, R2 is the radius value of the second circle signal, R3 is the radius value of the third circle signal, pow_rms is the mean power of the multipath complex signal, γ1 is the radius ratio of the second circle signal to the first circle signal, γ2 is the radius ratio of the third circle signal to the first circle signal, er1 is the boundary between the first circle signal and the second circle signal, er2 is the boundary between the second circle signal and the third circle signal, the first circle signal and the second circle signal are the inner circle signals, and the third circle signal is the outer circle signal;

[0096] First, describe the principle: The constellation diagram of amplitude-phase modulation is as shown in Figure 6 ( Figure 6 It is the constellation diagram of amplitude-phase modulation in this application), the constellation points are distributed on 3 circles, there are 4 constellation points on the inner circle, 12 constellation points on the middle circle, and 16 constellation points on the outer circle. The constellation points are mapped according to the Gray code, and adjacent two constellation points basically differ by only 1 bit.

[0097] The ratio of the radius R2 of the middle circle to the radius R1 of the inner circle is γ1 = R2 / R1, and the ratio of the radius R3 of the outer circle to the radius R1 of the inner circle is γ2 = R3 / R1. When modulating, it is necessary to ensure that the average power is 1, that is When γ is constant, we have:

[0098]

[0099] R2 = γ1R1

[0100] R3 = γ2R1

[0101] Based on this principle, in one embodiment, for 32APSK, the ratio of the radius R2 of the outer circle to the radius R1 of the inner circle is γ1 = R2 / R1 = 2.8, and the ratio of the radius R3 of the outer circle to the radius R1 of the inner circle is γ2 = R3 / R1 = 5.3. When modulating, it is necessary to ensure that the average power is 1, that is When γ is constant, we have:

[0102]

[0103] Collect a certain number of data, and the average power pow_rcv of the received signal can be obtained through continuous calculation;

[0104] Then

[0105]

[0106] Also, because γ1 = 2.8 and γ2 = 5.3

[0107]

[0108] fenmu = (1 + 2.8^2 * 3 + 5.3^2 * 4) = 136.88

[0109] Therefore, as long as the average power of the signal is known, the square of the radius of the signal can be calculated, and after taking the square root, the radii from the first circle of the signal to the second circle of the signal and to the third circle of the signal can be known.

[0110]

[0111] Furthermore, the boundary between the inner - circle signal and the outer - circle signal can be obtained.

[0112] S1012. Divide the multipath complex signal according to the boundary to obtain the inner - circle signal and the outer - circle signal.

[0113] It can be seen that the average power of the multipath complex signal reflects the overall energy intensity distribution of the signal. The preset partitioning function is set according to the law of the influence of the power amplifier on signals in different regions. When the signal passes through the power amplifier, the distribution of its energy in the inner and outer circles will change, and this change is associated with the average power. By combining the two to determine the boundary, the inner-circle signal and the outer-circle signal can be accurately identified based on the energy difference. Even in the case where the multipath channel makes the signal complex and difficult to distinguish, the problem of difficult distinction between the inner-circle signal and the outer-circle signal can be effectively overcome.

[0114] S1013. Perform MMA processing on the inner-circle signal and the outer-circle signal;

[0115] "MMA processing" is the Maximum-Minimum Adaptive processing, which is a signal processing technology for implementing adaptive equalization based on the high-order statistics of the signal.

[0116] This step is executed after successfully partitioning the inner-diameter signal and the outer-circle signal. Since the inner-circle signal and the outer-circle signal both have varying degrees of signal distortion after passing through the multipath channel transmission and the action of the power amplifier, including phase deviation, amplitude fluctuation, etc., and the subsequent goal is to perform precise phase correction on them, it is necessary to first improve the overall quality of the signal to make it more conducive to subsequent processing operations.

[0117] In some embodiments, for the inner-circle signal and the outer-circle signal, signal data for a certain period of time or a certain number of sampling points are respectively extracted. For example, the data of 100 consecutive sampling points are selected as the analysis object, and key information such as the amplitude and phase of each sampling point are recorded. These data will be used for subsequent calculation of high-order statistics.

[0118] Special mathematical algorithms or signal processing functions are used to calculate the high-order statistics of the inner-circle signal and the outer-circle signal respectively. For example, calculate the third moment, fourth moment, etc. of the signal (moments of different orders can reflect the characteristics of the signal from different angles). This requires accurate calculation based on relevant mathematical formulas and signal processing theories, and it is necessary to ensure the accuracy and efficiency of the calculation. Through these high-order statistics, deeper changes in the signal can be observed.

[0119] According to the results of the calculated high-order statistics, a parameter adjustment mechanism for the adaptive equalization algorithm is constructed. For example, if the high-order statistics show that the amplitude of a certain frequency band of the inner-circle signal fluctuates greatly, then the gain parameter of the corresponding frequency band in the equalization algorithm is adjusted accordingly. By continuously dynamically adjusting these parameters, the inner-circle signal and the outer-circle signal are respectively equalized, so that their characteristics such as amplitude and phase change towards a more ideal state, and the MMA processing process is completed.

[0120] S1014. Consider the inner - loop signal and outer - loop signal after MMA processing as the inner - loop signal and outer - loop signal.

[0121] It can be seen that MMA processing performs adaptive equalization based on the higher - order statistics of the signal. Under the dual influence of the multipath channel and the power amplifier, the signal not only has phase distortion but also various changes such as amplitude. By analyzing the higher - order statistics of the signal, MMA processing can dynamically sense these complex changes of the signal in the inner and outer loops. For example, it can adjust its own parameters according to the instantaneous fluctuations of the signal, optimize the inner - loop signal and outer - loop signal respectively, compensate for the distortion caused by multipath propagation and power - amplifier non - linearity, significantly improve the quality of the signal before entering the subsequent phase - correction link, enhance the adaptability of the entire phase - correction scheme to the complex channel environment, and lay a better foundation for accurate phase correction.

[0122] Please refer to Figure 7 , Figure 7 is Figure 5 the constellation diagram of the multipath complex signal after being processed through steps S1011 to S1014;

[0123] In some embodiments, perform steps S101 to S111 on the multipath complex signal after being processed through steps S1011 to S1014. Please refer to Figure 8 , Figure 8 is Figure 7 the constellation diagram of the multipath complex signal after being processed through steps S101 to S111.

[0124] Next, introduce the exemplary inner - and - outer - loop phase - correction system 900 after power - amplification provided by the embodiments of the present application. Figure 9 is the exemplary hardware structure diagram of the inner - and - outer - loop phase - correction system 900 after power - amplification provided by the embodiments of the present application.

[0125] In some embodiments, the post-power amplifier inner and outer ring phase correction system 900 is a computer device or the post-power amplifier inner and outer ring phase correction system 900 includes a computer device. The computer device includes a processor, a memory, and a network interface connected through a system bus. Among them, the processor of the computer device is used to provide computing and control capabilities. The memory of the computer device includes a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system, a computer program, and a database. The internal memory provides an environment for the operation of the operating system and the computer program in the non-volatile storage medium. The database of the computer device is used to store data. The network interface of the computer device is used to communicate with other external terminals or servers through a network connection. In some embodiments, the network interface can be a wired network interface, and in some embodiments, the network interface can also be a wireless network interface. The computer program, when executed by the processor, implements the method in the embodiments of the present application.

[0126] Those skilled in the art can understand that Figure 9 the structure shown in is only a block diagram of some structures related to the solution of the present application, and does not constitute a limitation on the computer device to which the solution of the present application is applied. The specific computer device may include more or fewer components than those shown in the figure, or combine certain components, or have a different component layout.

[0127] As mentioned above, the above embodiments are only used to illustrate the technical solutions of the present application, and are not intended to limit them; although the present application has been described in detail with reference to the foregoing embodiments, those of ordinary skill in the art should understand that they can still modify the technical solutions recorded in the foregoing embodiments, or perform equivalent replacements for some of the technical features; and these modifications or replacements do not cause the essence of the corresponding technical solutions to deviate from the scope of the technical solutions of the embodiments of the present application.

[0128] As used in the above embodiments, depending on the context, the term "when..." can be interpreted to mean "if..." or "after..." or "in response to determining..." or "in response to detecting...". Similarly, depending on the context, the phrase "when determining..." or "if detecting (the stated condition or event)" can be interpreted to mean "if determining..." or "in response to determining..." or "when detecting (the stated condition or event)" or "in response to detecting (the stated condition or event)".

[0129] In the above embodiments, it can be implemented in whole or in part by software, hardware, firmware, or any combination thereof. When implemented using software, it can be implemented in whole or in part in the form of a computer program product. The computer program product includes one or more computer instructions. When the computer program instructions are loaded and executed on a computer, the processes or functions described in the embodiments of the present application are generated in whole or in part. The computer can be a general-purpose computer, a special-purpose computer, a computer network, or other programmable devices. The computer instructions can be stored in a computer-readable storage medium or transmitted from one computer-readable storage medium to another. For example, the computer instructions can be transmitted from one website, computer, server, or data center to another website, computer, server, or data center by wire (such as coaxial cable, optical fiber, digital subscriber line) or wirelessly (such as infrared, wireless, microwave, etc.). The computer-readable storage medium can be any available medium that can be accessed by a computer or a data storage device such as a server or data center that includes one or more integrated available media. The available medium can be a magnetic medium (such as a floppy disk, hard disk, magnetic tape), an optical medium (such as a DVD), or a semiconductor medium (such as a solid-state drive), etc.

[0130] Those of ordinary skill in the art can understand that all or part of the processes in the methods of the above embodiments can be completed by a computer program instructing relevant hardware. The program can be stored in a computer-readable storage medium. When the program is executed, it can include the processes of the above method embodiments. The foregoing storage medium includes various media that can store program codes, such as ROM or random access memory RAM, magnetic disks, or optical discs.

Claims

1. A method for correcting the phase of the inner and outer rings after power amplification, characterized in that Including: Dividing the multipath complex signal to obtain an inner - circle signal and an outer - circle signal; Performing a power operation with a preset first number on the inner - circle signal to obtain a first complex signal; Performing an accumulation process on the first complex signal; Calculating the phase of the accumulated first complex signal to obtain first phase data; Changing the direction of the first phase data to make the direction of the first phase data opposite; Performing a square - root operation on the changed first phase data to obtain a first phase offset, and the first phase offset is used to perform phase correction on the outer - circle signal and the inner - circle signal; Performing a power operation with a preset second number on the outer - circle signal to obtain a second complex signal; Performing an accumulation process on the second complex signal; Calculating the phase of the accumulated second complex signal to obtain second phase data; Changing the direction of the second phase data to make the direction of the second phase data opposite; Performing a square - root operation on the changed second phase data to obtain a second phase offset, and the second phase offset is used to perform phase correction on the outer - circle signal.

2. The method according to claim 1, characterized in that The step of dividing the multipath complex signal to obtain an inner - circle signal and an outer - circle signal specifically includes: Dividing the multipath complex signal according to the mean power of the multipath complex signal and a preset division function to obtain the boundary between the inner - circle signal and the outer - circle signal; In the formula, R1 is the radius value of the first - circle signal, R2 is the radius value of the second - circle signal, R3 is the radius value of the third - circle signal, pow_rms is the mean power of the multipath complex signal, γ1 is the radius ratio of the second - circle signal to the first - circle signal, γ2 is the radius ratio of the third - circle signal to the first - circle signal, er1 is the boundary between the first - circle signal and the second - circle signal, er2 is the boundary between the second - circle signal and the third - circle signal, the first - circle signal and the second - circle signal are the inner - circle signal, and the third - circle signal is the outer - circle signal; Dividing the multipath complex signal according to the boundary to obtain the inner - circle signal and the outer - circle signal.

3. The method according to claim 2, characterized in that, After the step of dividing the multipath complex signal according to the boundary to obtain the inner - circle signal and the outer - circle signal, the method further includes: Performing MMA processing on the inner - circle signal and the outer - circle signal; Regarding the inner - circle signal and the outer - circle signal after MMA processing as the inner - circle signal and the outer - circle signal.

4. The method according to claim 1, wherein The step of performing a power operation with a preset first number on the inner - circle signal to obtain a first complex signal specifically includes: Wherein, S K ′ is the first complex signal, S K is the inner ring signal, j is the signal representation in complex form, K is the sampling point at different times, is the frequency offset, T b is the bit period, is the initial phase offset, and A is the residual phase information.

5. The method according to claim 1, wherein The step of calculating the phase of the accumulated first complex signal to obtain first phase data specifically includes: Retaining the previous and the subsequent first phase data; Unwrapping the subsequent first phase data according to the previous first phase data.

6. The method according to claim 5, characterized in that The step of unwrapping the subsequent first phase data according to the previous first phase data specifically includes: When the absolute value of the difference between the subsequent first phase data and the previous first phase data is greater than a preset threshold, adding or subtracting an integer multiple of 2π to the subsequent first phase data so that the absolute value of the difference between the adjusted subsequent first phase data and the previous first phase data is less than or equal to the preset threshold.

7. The method according to claim 1, wherein After the step of performing a preset number of power operations on the inner ring signal to obtain a first complex signal, the method further includes: Performing a preset number of power operations on a standard inner ring signal to obtain the phase of the modulation information; Subtracting the phase of the modulation information from the first complex signal; Regarding the first complex signal after subtraction as the first complex signal.

8. A method for correcting the phase of the inner and outer rings after power amplification, characterized in that The method for correcting the phases of the inner and outer rings after power amplification includes: one or more processors and a memory; the memory is coupled to the one or more processors, and the memory is used to store computer program code, the computer program code includes computer instructions, and the one or more processors call the computer instructions to cause the method for correcting the phases of the inner and outer rings after power amplification to execute the method described in any one of claims 1-7.

9. A computer program product comprising instructions, characterized in that, When the computer program product runs on the method for correcting the phases of the inner and outer rings after power amplification, it causes the method for correcting the phases of the inner and outer rings after power amplification to execute the method described in any one of claims 1-7.

10. A computer-readable storage medium, comprising instructions, characterized in that, When the instruction runs on the method for correcting the phases of the inner and outer rings after power amplification, it causes the method for correcting the phases of the inner and outer rings after power amplification to execute the method described in any one of claims 1-7.

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