Signal processing method and device based on signal adaptive bandwidth demodulation performance optimization

Abstract

The application provides a signal processing method and device based on signal adaptive bandwidth demodulation performance optimization, which comprises the following steps: setting multiple low-pass filters, including a main carrier filter and multiple sub-carrier filters; selecting a target sub-carrier filter from each low-pass filter when a target measurement and control signal is detected; jointly reconstructing the target sub-carrier filter and the main carrier filter to obtain a reconstructed filter; applying the reconstructed filter to filter and process the target measurement and control signal, retaining only the main carrier and the sub-carrier in the target measurement and control signal, and sending the target measurement and control signal to a subsequent module to complete synchronous demodulation of each pair of sub-carriers. By designing multiple low-pass filters with different passband sizes, selecting filter coefficients according to sub-carrier frequency points and rate parameters to reconstruct a "main-sub carrier filter", and then realizing target carrier extraction, resampling, outer layer demodulation and inner layer demodulation, the application can optimize and improve the signal interpretation performance of the measurement and control system.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of signal processing, in particular to a signal processing method and device based on adaptive bandwidth demodulation performance optimization of signals. BACKGROUND

[0002] The TT&C communication system is an important part of satellite monitoring. In recent years, the satellite TT&C system has shown a trend of rapid development and coexistence of multiple systems. The TT&C system is transformed from a dispersed system to a unified carrier system. The unified carrier TT&C system is to modulate the main carrier and its sub-carriers to realize the transmission and measurement of each TT&C project. The main carrier of the TT&C communication system is a high-frequency sinusoidal wave carrying various TT&C sub-carriers, such as the S-band in the TT&C system. The sub-carrier is used for frequency division multiplexing in the unified carrier TT&C system, usually modulated by MPSK, so that each sub-carrier carries tracking, telemetry, and remote control communication task information. Since each sub-carrier is independent of each other, different modulation methods can be used for each sub-carrier. The TT&C communication information is modulated on each independent sub-carrier to achieve frequency division multiplexing, and then modulated on the main carrier after mixing. The frequency modulation / phase modulation system is usually used. Due to the consideration of reception and capture, the main carrier needs to reserve part of the power, so it is usually a vestigial sideband modulation. Since the information signal is in the sub-carrier, the power needs to be distributed to the sub-carrier as much as possible.

[0003] In addition, due to the rapid development of time division multiplexing and code division multiplexing, they can be applied to sub-carrier modulation. For example, various TT&C task data is modulated in a time division manner, and then frequency division multiplexing is performed on the sub-carrier. This has two advantages: first, it reduces the number of sub-carriers, and the intermediate frequency interval of the sub-carrier is not fixed; second, it can improve the influence of the residual carrier after modulation. How to improve the demodulation effect of the sub-carrier signal is the key to improving the performance of the TT&C signal processing, especially in the case of multiple pairs of sub-carrier signals. The optimization demand in this aspect is more urgent. SUMMARY

[0004] Therefore, the present application provides a signal processing method and device based on adaptive bandwidth demodulation performance optimization of signals. Through this method, a plurality of low-pass filters with different passband sizes can be designed. The filter coefficients are selected according to the sub-carrier frequency and rate parameters to reconstruct the "main-sub carrier" optimization filter. Then the target carrier extraction, resampling, outer FM / PM demodulation, and inner MPSK demodulation are realized to optimize and improve the performance of the TT&C system signal interpretation.

[0005] A signal processing method based on adaptive bandwidth demodulation performance optimization of signals, the method comprising: Based on the use scene of the measurement and control signal, a plurality of low-pass filters with different bandwidths are set, each of the low-pass filters includes a main carrier filter and a plurality of subcarrier filters, and the length of each of the subcarrier filters is consistent; When the target measurement and control signal is detected, a target subcarrier filter is selected from each of the low-pass filters; The target subcarrier filter is jointly reconstructed with the main carrier filter to obtain a reconstructed filter; The target measurement and control signal is filtered by using the reconstructed filter, and only the main carrier and the subcarrier in the target measurement and control signal are reserved.

[0006] The above method can optionally include the following steps: The sampling frequency of a preset signal receiving device is normalized, and the signal receiving device is used to receive the measurement and control signal; Based on the normalized sampling frequency, filter performance parameters are set, and the filter performance parameters at least include a minimum stopband attenuation, a passband ripple and a stopband ripple; The bandwidth range of the signal carrier corresponding to the use scene is determined; Based on the bandwidth range and the filter performance parameters, a plurality of low-pass filters are set, each of the low-pass filters includes a main carrier filter and a plurality of subcarrier filters, and each of the low-pass filters corresponds to a bandwidth value, and the bandwidth value belongs to the bandwidth range.

[0007] The above method can optionally include the following steps: The target measurement and control signal is subjected to frequency spectrum analysis to obtain a symbol rate of the target measurement and control signal; Based on the sampling frequency and the symbol rate, a bandwidth coefficient of the target measurement and control signal is calculated; At least one subcarrier filter matched with the bandwidth coefficient is selected from each of the subcarrier filters as a target subcarrier filter, and the bandwidth value of the target subcarrier filter is greater than or equal to the bandwidth coefficient.

[0008] The above method can optionally include the following steps: The frequency conversion position of the target measurement and control signal is determined; Based on the frequency conversion position, the frequency conversion phase of the filter required for filtering the target measurement and control signal is calculated, and the inverse phase of the frequency conversion phase is obtained, and the frequency conversion phase and the inverse phase are symmetrical phases; Based on the symmetric phase containing the variable frequency phase and the inverse phase, the main carrier filter and the subcarrier filter are reconstructed into a band-pass form to complete joint reconstruction of the target subcarrier filter and the main carrier filter.

[0009] The method described above, optionally, the application of the reconstruction filter to the target TT&C signal filtering processing, comprising: The target TT&C signal is input into the reconstruction filter, and the convolution algorithm corresponding to the reconstruction filter is applied to filter the target TT&C signal.

[0010] The method described above, optionally, after obtaining the main carrier and subcarrier in the target TT&C signal, the method further comprises: Determine the modulation specification of the target TT&C signal; According to the modulation specification, the demodulation processing corresponding to the target TT&C signal is performed.

[0011] The modulation specification is an FM and MPSK composite modulation scheme or a PM and MPSK composite modulation scheme. According to the modulation specification, the demodulation processing corresponding to the target TT&C signal is performed. When the modulation specification is an FM and MPSK composite modulation scheme, the filtered target TT&C signal is subjected to FM demodulation according to a preset outer layer FM demodulation algorithm, and FM demodulation data is obtained. When the modulation specification is a PM and MPSK composite modulation scheme, the filtered target TT&C signal is subjected to PM demodulation according to a preset outer layer PM demodulation algorithm, and PM demodulation data is obtained. The FM demodulation data or the PM demodulation data is subjected to DDC processing and inner layer MPSK demodulation processing, and final demodulation data is obtained.

[0012] A signal processing device based on adaptive bandwidth demodulation performance optimization of a signal, the device comprises: A setting unit is configured to set a plurality of low-pass filters based on the use scenario of the TT&C signal, each low-pass filter comprising a main carrier filter and a plurality of subcarrier filters, and each subcarrier filter having the same length. A selection unit is configured to select a target subcarrier filter from each low-pass filter when a target TT&C signal is detected. A reconstruction unit is configured to jointly reconstruct the target subcarrier filter and the main carrier filter to obtain a reconstruction filter. A filtering unit is configured to apply the reconstruction filter to the target TT&C signal for filtering processing to remove the main carrier and subcarrier in the target TT&C signal.

[0013] The device, optionally, further comprises: The demodulation unit is configured to determine a modulation specification of the target TT&C signal, and perform demodulation processing corresponding to the target TT&C signal according to the modulation specification; and the modulation specification is an FM and MPSK composite modulation scheme or a PM and MPSK composite modulation scheme.

[0014] A storage medium comprises stored instructions, wherein the instructions, when executed, control a device in which the storage medium is located to perform the signal processing method for optimizing demodulation performance based on adaptive bandwidth of a signal.

[0015] An electronic device comprises a memory and one or more instructions, wherein the one or more instructions are stored in the memory and configured to be executed by one or more processors to perform the signal processing method for optimizing demodulation performance based on adaptive bandwidth of a signal.

[0016] Compared with the prior art, the present application has the following advantages: The present application provides a signal processing method for optimizing demodulation performance based on adaptive bandwidth of a signal, comprising: setting a plurality of low-pass filters based on a use scenario of a TT&C signal, each of the low-pass filters comprising a main carrier filter and a plurality of subcarrier filters, and each of the subcarrier filters having a same length; selecting a target subcarrier filter from each of the low-pass filters when a target TT&C signal is detected; jointly reconstructing the target subcarrier filter and the main carrier filter to obtain a reconstructed filter; and filtering the target TT&C signal by using the reconstructed filter to remove the main carrier and the subcarrier in the target TT&C signal. By using the method provided by the present application, a plurality of low-pass filters with different passband sizes are designed, a filter coefficient is selected according to a subcarrier frequency point and a rate parameter to reconstruct a “main-subcarrier” optimized filter, and then the extraction of a target carrier, resampling, outer FM / PM demodulation and inner MPSK demodulation are realized, and the optimization and improvement of TT&C system signal interpretation performance are completed. BRIEF DESCRIPTION OF DRAWINGS

[0017] In order to more clearly illustrate the technical solutions in the embodiments of the present application or the prior art, the following will briefly introduce the drawings needed to be used in the embodiments or prior art description. Obviously, the drawings in the following description are only embodiments of the present application, and for those skilled in the art, other drawings can also be obtained without creative labor based on the provided drawings.

[0018] Figure 1A method flow chart of a signal processing method based on signal adaptive bandwidth demodulation performance optimization is provided for an embodiment of the present application. Figure 2 A measurement and control signal spectrum diagram is provided for an embodiment of the present application. FIG. 3(a) and FIG. 3(b) are a main carrier filter amplitude-frequency response curve and a phase-frequency response curve diagram, respectively, provided for an embodiment of the present application. FIG. 4(a) and FIG. 4(b) are a main carrier filter amplitude-frequency response curve and a phase-frequency response curve diagram, respectively, provided for an embodiment of the present application. FIG. 5(a) and FIG. 5(b) are a first pair of reconstructed filter amplitude-frequency response curve and phase-frequency response curve diagram, respectively, provided for an embodiment of the present application. FIG. 6(a) and FIG. 6(b) are constellation distribution diagrams of a first pair of subcarriers before and after passing through an optimization module, provided for an embodiment of the present application. FIG. 7(a) and FIG. 7(b) are a second pair of reconstructed filter amplitude-frequency response curve and phase-frequency response curve diagram, respectively, provided for an embodiment of the present application. FIG. 8(a) and FIG. 8(b) are constellation distribution diagrams of a second pair of subcarriers before and after passing through an optimization module, provided for an embodiment of the present application. Figure 9 A device structure diagram of a signal processing device based on signal adaptive bandwidth demodulation performance optimization is provided for an embodiment of the present application. Figure 10 An electronic device structure schematic diagram is provided for an embodiment of the present application. DETAILED DESCRIPTION

[0019] The technical solutions in the embodiments of the present application will be described clearly and completely below with reference to the drawings in the embodiments of the present application. Obviously, the described embodiments are only a part of the embodiments of the present application, rather than all the embodiments. Based on the embodiments in the present application, all other embodiments obtained by those of ordinary skill in the art without creative work fall within the scope of the present application.

[0020] In this application, the terms such as first and second are used only to distinguish one entity or operation from another, and do not necessarily require or imply any such actual relationship or order between such entities or operations, the terms "include", "contain" or any other variants thereof are intended to cover non-exclusive inclusion, so that the process, method, article or device including a series of elements not only includes those elements, but also includes other elements not explicitly listed or inherent to such process, method, article or device. Without more limitation, the element defined by the statement "including a" does not exclude the presence of additional identical elements in the process, method, article or device including the element.

[0021] The present application can be used in a plurality of general or special computing device environments or configurations. For example: personal computers, server computers, handheld or portable devices, tablet devices, multi-processor devices, distributed computing environments including any of the above devices or devices, etc.

[0022] The embodiment of the present application provides a signal processing method based on adaptive bandwidth demodulation performance optimization, the method is applied to a processor, and the method can be applied to different signal monitoring application scenarios, such as satellite signal tracking.

[0023] The signal processing method based on adaptive bandwidth demodulation performance optimization of the present application includes the following processes: Based on the use scene of the TT&C signal, a plurality of low-pass filters with different bandwidths are set, each low-pass filter includes a main carrier filter and a plurality of subcarrier filters, and the lengths of the subcarrier filters are consistent; When the target TT&C signal is detected, a target subcarrier filter is selected from each low-pass filter; The target subcarrier filter is jointly reconstructed with the main carrier filter to obtain a reconstructed filter; The reconstructed filter is applied to filter and process the target TT&C signal, and only the main carrier and the subcarrier in the target TT&C signal are reserved.

[0024] Further, in the present application, after the main carrier and the subcarrier in the target TT&C signal are obtained, the signal processing method based on adaptive bandwidth demodulation performance optimization further includes the following processes: The modulation specification of the target TT&C signal is determined, and the demodulation processing corresponding to the target TT&C signal is performed according to the modulation specification, wherein the modulation specification includes an FM and MPSK composite modulation scheme and a PM and MPSK composite modulation scheme, outer demodulation is performed through FM / PM, and then DDC processing and inner MPSK demodulation are performed.

[0025] According to the above process, the application implements the specific steps of the signal processing method based on signal adaptive bandwidth demodulation performance optimization as shown in the following table. Figure 1 Figure 1 The specific implementation main process of the signal processing method based on signal adaptive bandwidth demodulation performance optimization provided by the embodiment of the application is as follows: S1: Set low-pass filters of different bandwidths and filter coefficient conversion built-in.

[0026] Among them, based on the use scene of the TT&C signal, a plurality of low-pass filters of different bandwidths are set, and a carrier performance parameter is set. Each low-pass filter includes a main carrier filter and a plurality of sub-carrier filters, and the length of each sub-carrier filter is consistent.

[0027] It should be noted that the bandwidth corresponding to each low-pass filter belongs to the bandwidth range corresponding to the use scene.

[0028] In the application, the carrier performance parameter is determined to design the corresponding filter through the carrier performance parameter, which is the performance parameter corresponding to the filter required to filter out the carrier under the specified use scene, that is, the filter performance parameter of the filter to be set is defined according to the specific use requirement. It includes passband ripple , stopband ripple , maximum passband attenuation , and minimum stopband attenuation .

[0029] The application adopts the equal-ripple optimal approximation method to design the low-pass filter, and compared with the window function method, the filter designed by the equal-ripple method can minimize the filter order and ripple error under the same performance requirement.

[0030] According to the common parameter specification of the TT&C system signal, the minimum stopband attenuation of the designed low-pass filter is ≥80dB, the passband ripple and the stopband ripple are both 0.01, that is, the corresponding maximum passband attenuation is:

[0031] That is, the maximum passband attenuation is: ≤0.174dB.

[0032] Considering the distribution of the effective bandwidth of the signal and the attenuation characteristics of the filter, it is necessary to design multiple filters in advance to adapt to different bandwidths and improve processing efficiency.

[0033] ​The symbol rate range of the TT&C subcarrier signal needs to be graded, and M low-pass filters with different passbands are designed, and N-order FIR low-pass filters are correspondingly designed , and its time domain form is , that is

[0034] , wherein is a filter index, ; is a filter coefficient index, ; , is used to represent a variable domain.

[0035] To ensure the stability of the filter performance, the sampling frequency of the signal receiving device needs to be normalized to ensure that the sampling frequency of the signal receiving device is within the range (0, 1), and the stability of the related parameter setting when setting the filter is ensured. After normalizing the sampling frequency, the filter performance parameters required by the filter to be set are set according to the normalized sampling frequency, and the filter performance parameters are the bandwidth range of the signal carrier required to be filtered out in the specified use scenario. Based on the bandwidth range and the filter performance parameters, a plurality of low-pass filters are set, each low-pass filter including a main carrier filter and a plurality of subcarrier filters.

[0036] It should be noted that since the signal receiving device receives signals under the same channel, the main carrier in the received TT&C signal is fixed, so only one corresponding main carrier filter needs to be set for the main carrier. However, the same signal may have multiple pairs of subcarriers, and Figure 2 , Figure 2 the TT&C signal in the above table has two pairs of subcarriers. In the signal monitoring process, the frequencies between different TT&C signals or different subcarriers in the same TT&C signal are usually inconsistent, so according to the bandwidth range, a plurality of subcarrier filters corresponding to the bandwidth values are set. For each low-pass filter set, in addition to the fixed bandwidth value of the main carrier filter, the bandwidth value of each subcarrier filter is within the bandwidth range, and each subcarrier filter has the same length, and the length of each low-pass filter is 512.

[0037] In an embodiment of the present application, each low-pass filter includes one main carrier filter and six subcarrier filters, the bandwidth of the main carrier filter is , and the bandwidths of the subcarrier filter 1 to the subcarrier filter 6 are , , , , and wherein, is the normalized sampling frequency.

[0038] The amplitude-frequency response curve and the phase-frequency response curve of the set primary carrier filter are shown in Fig. 3(a) and Fig. 3(b), and the amplitude-frequency response curve and the phase-frequency response curve of the set secondary carrier filter are shown in Fig. 4(a) and Fig. 4(b).

[0039] S2: After obtaining the measurement and control signal, matching the filter according to the secondary carrier parameter of the measurement and control signal, and reconstructing the primary-secondary filter according to the matched filter to filter and reduce the measurement and control signal through the reconstructed filter.

[0040] Specifically, when the target measurement and control signal is detected, the target secondary carrier filter is selected from each low-pass filter.

[0041] In the present application, when the signal receiving device receives the target measurement and control signal, the corresponding filter needs to be selected according to the frequency point position and the symbol rate of the to-be-processed secondary carrier in the measurement and control signal for joint reconstruction of the filter.

[0042] Specifically, the sampling frequency of the target measurement and control signal is obtained to determine the frequency point position of the to-be-processed secondary carrier in the target measurement and control signal; the symbol rate of the target measurement and control signal is obtained through spectrum analysis; the bandwidth coefficient of the target measurement and control signal is calculated based on the sampling frequency and the symbol rate; at least one secondary carrier filter matched with the bandwidth coefficient is selected from each secondary carrier filter as the target secondary carrier filter, wherein the bandwidth value of the target secondary carrier filter is greater than or equal to the bandwidth coefficient.

[0043] The calculation method of the bandwidth coefficient of the target measurement and control signal based on the sampling frequency and the symbol rate is:

[0044] wherein, R is the symbol rate, is the sampling frequency.

[0045] It should be noted that one or more secondary carrier filters can be selected as the target secondary carrier filter from the plurality of set secondary carrier filters, and the number of selected secondary carrier filters is determined according to the number of secondary carriers contained in the measurement and control signal.

[0046] After determining the target secondary carrier, the target secondary carrier filter is jointly reconstructed with the primary carrier filter to obtain a reconstructed filter.

[0047] Specifically, in the process of jointly reconstructing the target subcarrier filter and the main carrier filter, the frequency conversion position of the target TT&C signal is determined; based on the frequency conversion position, the frequency conversion phase of the filter required for filtering the target TT&C signal is calculated, and the inverse phase of the frequency conversion phase is obtained; based on the frequency conversion phase and the inverse phase, the main carrier filter and the subcarrier filter are reconstructed into a bandpass form to complete the joint reconstruction of the target subcarrier filter and the main carrier filter.

[0048] It should be noted that the reconstructed filter obtained by the joint reconstruction of the main carrier-subcarrier filter has the symmetric phase, and the frequency conversion phase in the symmetric phase is as long as the filter order of the reconstructed filter to be set, which is used to realize the continuity of the filter phase, and the frequency conversion phase The specific expression form of the frequency conversion phase is:

[0049] Among them, is the index of the frequency conversion phase, . is the frequency conversion position required for calculating the center frequency of the subcarrier to be processed in the target TT&C signal, and the calculation formula of the frequency conversion position is: , is the center frequency of the subcarrier in the target TT&C signal, is the sampling frequency.

[0050] In order to meet the extraction requirement of the subcarrier in the target TT&C signal, the frequency conversion phase needs to be symmetrized to obtain the inverse phase, and then the joint phase containing the frequency conversion phase and the inverse phase is obtained :

[0051] Among them, is the inverse phase, and the inverse phase is symmetrical to the frequency conversion phase; is the index of the inverse phase, .

[0052] After obtaining the joint phase, the main carrier filter and the target subcarrier filter are reconstructed into a bandpass form, and the reconstructed filter obtained is a main-subcarrier filter, and the expression of the main-subcarrier filter is:

[0053] The transformed domain form of the above main-subcarrier filter expression is:

[0054] Among them, is the main carrier filter, which is essentially a low-pass filter with an extremely narrow passband. target sub-carrier filter; , for representing the variation domain; filter coefficient index, ; filter order.

[0055] The target telemetry signal is filtered by using the reconstruction filter to retain the main carrier and the sub-carrier in the target telemetry signal.

[0056] In the present application, the target telemetry signal is filtered by inputting the target telemetry signal into the reconstruction filter and filtering the target telemetry signal by using the corresponding convolution algorithm of the reconstruction filter.

[0057] Specifically, the target telemetry signal is:

[0058] wherein, amplitude size, instantaneous frequency, initial phase, data index, represents the imaginary unit.

[0059] The target telemetry signal is filtered according to the convolution operation, and the sequence output after filtering is:

[0060] wherein, represents the sampling value of the target telemetry signal at data , and represents the reconstruction filter.

[0061] In the method provided in the present application, after the filtering of the target telemetry signal is completed, the target telemetry signal can be further demodulated.

[0062] S3: The filtered target telemetry signal is subjected to outer layer FM (frequency modulation) or PM (phase modulation) demodulation, the sub-carrier in the target telemetry signal after the outer layer demodulation is subjected to DDC (Digital Down Conversion) processing, and finally inner layer MPSK (M-ary Phase Shift Keying) demodulation is performed to output demodulated data.

[0063] Specifically, the modulation specification of the target telemetry signal is determined, and the demodulation processing corresponding to the target telemetry signal is performed according to the modulation specification.

[0064] It should be noted that the modulation specification of the target measurement and control signal is either an FM and MPSK composite modulation scheme or a PM and MPSK composite modulation scheme.

[0065] Specifically, when the modulation scheme is a composite FM and MPSK modulation scheme, the filtered target measurement and control signal is demodulated using a preset outer FM demodulation algorithm to obtain FM demodulated data; when the modulation scheme is a composite PM and MPSK modulation scheme, the filtered target measurement and control signal is demodulated using a preset outer PM demodulation algorithm to obtain PM demodulated data. The FM demodulated data or PM demodulated data that has undergone outer processing are then subjected to DDC processing and inner MPSK demodulation processing to obtain the final demodulated data.

[0066] When performing demodulation processing on the target measurement and control signal, the target measurement and control signal before and after filtering is demodulated to obtain the outer demodulated data.

[0067] When the modulation specification of the target measurement and control signal is a composite modulation scheme of FM and MPSK, the corresponding FM demodulation formula for demodulating the filtered target measurement and control signal is:

[0068] in, This represents a differentiation operation. Represents the arctangent function. This indicates taking the real part of the signal. This indicates taking the imaginary part of the signal.

[0069] The above FM demodulation formula can be converted to:

[0070] When the modulation specification of the target measurement and control signal is a composite modulation scheme of PM and MPSK, the PM demodulation formula corresponding to the demodulation processing of the filtered target measurement and control signal is:

[0071] Furthermore, after demodulating the signal according to the outer FM / PM demodulation mode corresponding to the modulation specification, the FM demodulated data or PM demodulated data that has completed the outer processing also needs to undergo DDC processing and inner MPSK demodulation processing to obtain the final demodulated data.

[0072] In this method, based on the above-mentioned signal processing method based on signal adaptive bandwidth demodulation performance optimization, the selection of filters and joint reconstruction have the following embodiments: In the first embodiment, the main carrier filter bandwidth is set to be The bandwidths of subcarrier filters 1 through 6 are respectively , 、 、 、 and ; the sampling frequency of the received target TT&C signal is , the center frequency of the sub-carrier in the signal is , and the symbol rate is , then the frequency conversion position of the signal is: , and the bandwidth coefficient is: , then after selecting the main carrier filter, since the bandwidth coefficient meets: , the sub-carrier filter 3 is selected as the target filter for joint reconstruction. The main carrier filter and the sub-carrier filter 3 are jointly reconstructed to obtain a first pair of reconstructed filters. As shown in FIGS. 5(a) and 5(b), FIGS. 5(a) and 5(b) are amplitude-frequency response curves and phase-frequency response curves of the first pair of reconstructed filters, respectively.

[0073] The main-sub carrier filter reconstructed (i.e., the first pair of reconstructed filters) is used to filter the current main carrier and the first pair of sub-carriers, and the main carrier and the first pair of sub-carriers to be processed are completely extracted, and then the demodulation processing of the TT&C system signal is completed. Specifically, it includes: defining the input signal as , then:

[0074] wherein, the amplitude size, the instantaneous frequency, the initial phase, is the data index, and the imaginary unit.

[0075] The input signal is input into the above-mentioned first pair of reconstructed filters after reconstruction for filtering processing, and according to the definition of convolution operation, there is:

[0076] The data before and after being extracted by the filter and are respectively sent into a demodulation module, and outer demodulation is performed according to the modulation specification of the TT&C signal to be processed. Since the target signal adopts an “FM+MPSK” modulation scheme (PM and MPSK composite modulation scheme), FM demodulation is first performed on and to output outer demodulation data:

[0077]

[0078] The signal data whose FM demodulation processing is completed is subjected to DDC and MPSK demodulation processing according to the parameters of the first pair of subcarriers, and inner layer demodulation data is output and The constellation distribution diagrams of the first pair of subcarriers before and after the optimization module are shown in FIG. 6(a) and FIG. 6(b), and it can be obviously seen that the demodulation effect after the filter module is better, and the discrete degree of the constellation data is clearer.

[0079] In the second embodiment, the center frequency of the second pair of subcarriers , the symbol rate , the frequency conversion position of the signal is: , and the bandwidth coefficient is: After the main carrier filter is selected, since the bandwidth coefficient meets: , the subcarrier filter 4 is selected as the target filter for joint reconstruction. The main carrier filter and the subcarrier filter 4 are subjected to joint reconstruction to obtain a second pair of reconstructed filters. As shown in FIG. 7(a) and FIG. 7(b), FIG. 7(a) and FIG. 7(b) are respectively the amplitude-frequency response curve and the phase-frequency response curve diagram of the second pair of reconstructed filters.

[0080] The reconstructed main-subcarrier filter (i.e., the second pair of reconstructed filters) is used to filter the current main carrier and the second pair of subcarriers, and the main carrier and the second pair of subcarriers to be processed are completely extracted, and then the demodulation processing of the TT&C system signal is completed, which specifically includes: The input signal is defined as , and:

[0081] , wherein, the amplitude size, the instantaneous frequency, the initial phase, is the data index, represents the imaginary unit.

[0082] The input signal is filtered by the reconstructed second pair of reconstructed filters, and according to the definition of convolution operation, there is:

[0083] The outer layer demodulation is performed according to the modulation specification of the TT&C signal to be processed. Since the target signal adopts the "PM+MPSK" modulation scheme (PM and MPSK complex modulation scheme), PM demodulation is performed on and , and outer layer demodulation data is output:

[0084]

[0085] The signal data after PM demodulation is processed by the above method. Based on the parameters of the second pair of subcarriers, DDC and demodulation are performed to output inner layer demodulated data. and The constellation distribution of the second pair of subcarriers before and after passing through the optimization module is shown in Figure 8(a) and Figure 8(b). It is clear that the demodulation effect after passing through the filter module is better, and the dispersion of its constellation data is clearer.

[0086] This invention provides an algorithmic approach for optimizing the interpretation performance of multi-pair subcarrier telemetry and control signals. By designing multiple low-pass filters with different passband sizes, and selecting filter coefficients based on the subcarrier frequency and rate parameters, a "main-subcarrier" optimized filter is reconstructed. This enables the extraction, resampling, outer FM / PM demodulation, and inner MPSK demodulation of the target carrier, thereby optimizing and improving the interpretation performance of telemetry and control signals. Based on this design concept, this invention is applicable to non-cooperative communication scenarios. It allows for arbitrary reconstruction of the optimization module based on the provided subcarrier signal parameters, reducing interference for target signals using composite modulation methods. This achieves optimized demodulation performance while maintaining the same signal transmission quality, reducing bit errors caused by adjacent-channel interference.

[0087] Based on the above method, for composite modulation signal interpretation scenarios primarily involving carrier processing in telemetry and control systems, multiple pairs of carriers with different bandwidths typically appear at different frequency positions within a given time period. When adjacent carriers are close together, adjacent-channel interference occurs, resulting in poor demodulation performance of the composite modulation signal. Therefore, this invention utilizes the idea of ​​filter coefficient reconstruction to flexibly adapt to the extraction and demodulation of the target carrier signal, thereby improving demodulation performance.

[0088] and Figure 1 Corresponding to the method described above, this embodiment of the invention also provides a signal processing device based on signal adaptive bandwidth demodulation performance optimization, used for... Figure 1 The specific implementation of the method, the signal processing device based on signal adaptive bandwidth demodulation performance optimization provided in this embodiment of the invention, is applied to a processor, and its structural schematic diagram is shown below. Figure 9 As shown, it specifically includes: The setting unit is used to set multiple low-pass filters with different bandwidths based on the application scenario of the measurement and control signal. Each low-pass filter includes a main carrier filter and multiple subcarrier filters, and the length of each subcarrier filter is the same. The selection unit is used to select a target subcarrier filter from the various low-pass filters when a target measurement and control signal is detected. a reconstruction unit, configured to jointly reconstruct the target subcarrier filter and the main carrier filter to obtain a reconstruction filter; a filtering unit, configured to apply the reconstruction filter to the target TT&C signal for filtering processing, and only reserve the main carrier and the subcarrier in the target TT&C signal.

[0089] The setting unit is specifically configured to: normalize a preset sampling frequency of a signal receiving device, the signal receiving device being configured to receive a TT&C signal; set filter performance parameters based on the normalized sampling frequency, the filter performance parameters including at least a minimum stopband attenuation, a passband ripple and a stopband ripple; determine a bandwidth range of a signal carrier corresponding to the use scenario; and set a plurality of low-pass filters based on the bandwidth range and the filter performance parameters, each of the low-pass filters corresponding to a bandwidth value, the bandwidth value belonging to the bandwidth range.

[0090] The selecting unit is specifically configured to: perform spectrum analysis on the target TT&C signal to obtain a symbol rate of the target TT&C signal; calculate a bandwidth coefficient of the target TT&C signal based on the sampling frequency and the symbol rate; and select at least one subcarrier filter matched with the bandwidth coefficient from the plurality of subcarrier filters as a target subcarrier filter, wherein the bandwidth value of the target subcarrier filter is greater than or equal to the bandwidth coefficient.

[0091] The reconstruction unit is specifically configured to: determine a frequency conversion position of the target TT&C signal; calculate a frequency conversion phase of a filter required for filtering the target TT&C signal based on the frequency conversion position, and obtain an inverse phase of the frequency conversion phase, the frequency conversion phase and the inverse phase being symmetric phases; and reconstruct the main carrier filter and the subcarrier filter into a band-pass form based on a joint phase containing the frequency conversion phase and the inverse phase, to complete the joint reconstruction of the target subcarrier filter and the main carrier filter.

[0092] The filtering unit is specifically configured to: input the target TT&C signal into the reconstruction filter, and apply a convolution algorithm corresponding to the reconstruction filter to the target TT&C signal for filtering processing.

[0093] Optionally, the apparatus provided by the embodiment of the application further includes: a demodulation unit, configured to determine a modulation specification of the target TT&C signal, and perform demodulation processing corresponding to the target TT&C signal according to the modulation specification, wherein the modulation specification is an FM and MPSK composite modulation scheme or a PM and MPSK composite modulation scheme.

[0094] The modulation specification is an FM and MPSK composite modulation scheme or a PM and MPSK composite modulation scheme. The demodulation unit is specifically configured to: When the modulation specification is the FM and MPSK composite modulation scheme, the filtered target TT&C signal is subjected to outer layer demodulation according to a preset FM demodulation formula to obtain first demodulation data; when the modulation specification is the PM and MPSK composite modulation scheme, the filtered target TT&C signal is subjected to outer layer demodulation according to a preset PM demodulation formula to obtain second demodulation data; the first demodulation data or the second demodulation data is subjected to DDC processing and inner layer MPSK demodulation processing to obtain final demodulation data.

[0095] The above-mentioned embodiments of the signal processing device based on signal adaptive bandwidth demodulation performance optimization disclose various units and corresponding specific working processes, which can refer to the corresponding content in the above-mentioned embodiments of the signal processing method based on signal adaptive bandwidth demodulation performance optimization, and will not be repeated here.

[0096] The embodiments of the present application also provide a storage medium, which comprises stored instructions, wherein the instructions control the device where the storage medium is located to perform the above-mentioned signal processing method based on signal adaptive bandwidth demodulation performance optimization when the instructions are executed.

[0097] The embodiments of the present application also provide an electronic device, the structure diagram of which is shown in Figure 10 The electronic device specifically comprises a memory and one or more instructions, wherein the one or more instructions are stored in the memory and are configured to be executed by one or more processors to perform the following operations: Based on the use scene of the TT&C signal, a plurality of low-pass filters with different bandwidths are set, each of the low-pass filters comprises a main carrier filter and a plurality of subcarrier filters, and the lengths of the subcarrier filters are consistent; When the target TT&C signal is detected, a target subcarrier filter is selected from each of the low-pass filters; The target subcarrier filter and the main carrier filter are jointly reconstructed to obtain a reconstructed filter; The target TT&C signal is subjected to filtering processing by using the reconstructed filter, and only the main carrier and the subcarrier in the target TT&C signal are reserved.

[0098] The various embodiments described in this specification are described in progressive order of complexity, from the simplest embodiment to more complex embodiments. Embodiments described in this specification can be understood, and implemented, by those skilled in the art with the benefit of the following description and practice of the disclosure without necessitating use of more complex embodiments. The same parts and features of the various embodiments described in this specification can be referred to by the same reference numerals in all figures of which their presence in some or all of the various embodiments is indicated, but not necessarily by the same reference designators in all figures. Each embodiment described in this specification highlights differences from other embodiments, and each embodiment described in this specification highlights differences from other embodiments. In particular, for system or system embodiments, since they are substantially similar to method embodiments, they are described more simply, and reference is made to the description of the method embodiments. The systems and system embodiments described above are merely illustrative, and the units described as separate components may or may not be physically separate, and the components shown as units may or may not be physical units, i.e. they may be located in one place, or distributed over multiple network units. Some or all of the modules can be selected to achieve the purposes of the embodiments according to actual needs. Those skilled in the art can understand and implement it without creative labor.

[0099] The skilled person will further appreciate that the elements and algorithm steps of the examples described in relation to the embodiments disclosed herein can be implemented in electronic hardware, computer software or a combination of both.

[0100] In order to clearly illustrate the interchangeability of hardware and software, the components and steps of the examples have been described above in general terms generally in accordance with their functionality. Whether the described functions are performed in hardware or software depends on the particular application and design constraints imposed on the overall system. Skilled persons can use different methods to implement the described functions for each particular application, but such implementation should not be considered beyond the scope of the present application.

[0101] The above description of disclosed embodiments enables a person skilled in the art to implement or use the present application. Various modifications to these embodiments will be apparent to those skilled in the art, and the general principles defined herein can be implemented in other embodiments without departing from the spirit or scope of the present application. Therefore, the present application will not be limited to the embodiments shown herein, but will conform to the widest scope consistent with the principles and novel features disclosed herein.

Claims

1. A signal processing method based on signal adaptive bandwidth demodulation performance optimization, characterized in that, The method comprises: Based on the use scene of the TT&C signal, a plurality of low-pass filters with different bandwidths are set, each of the low-pass filters comprises a main carrier filter and a plurality of subcarrier filters, and the length of each of the subcarrier filters is consistent; When the target TT&C signal is detected, a target subcarrier filter is selected from each of the low-pass filters; The target subcarrier filter and the main carrier filter are jointly reconstructed to obtain a reconstructed filter; The reconstructed filter is applied to filter the target TT&C signal to retain only the main carrier and the subcarrier in the target TT&C signal.

2. The method of claim 1, wherein, The setting of the plurality of low-pass filters comprises: The sampling frequency of a preset signal receiving device is normalized, and the signal receiving device is used to receive a TT&C signal; Based on the normalized sampling frequency, filter performance parameters are set, the filter performance parameters at least including a stopband minimum attenuation, a passband ripple and a stopband ripple; The bandwidth range of the signal carrier corresponding to the use scene is determined; Based on the bandwidth range and the filter performance parameters, a plurality of low-pass filters are set, each of the low-pass filters corresponding to a bandwidth value, and the bandwidth value belonging to the bandwidth range.

3. The method of claim 2, wherein, The selection of the target subcarrier filter from each of the low-pass filters comprises: The target TT&C signal is subjected to frequency spectrum analysis to obtain a symbol rate of the target TT&C signal; Based on the sampling frequency and the symbol rate, a bandwidth coefficient of the target TT&C signal is calculated; At least one subcarrier filter matched with the bandwidth coefficient is selected from each of the subcarrier filters as a target subcarrier filter, wherein the bandwidth value of the target subcarrier filter is greater than or equal to the bandwidth coefficient.

4. The method of claim 1, wherein, The joint reconstruction of the target subcarrier filter and the main carrier filter comprises: The frequency conversion position of the target TT&C signal is determined; Based on the frequency conversion position, the frequency conversion phase of the filter required for filtering the target TT&C signal is calculated, and the inverse phase of the frequency conversion phase is obtained, the frequency conversion phase and the inverse phase being symmetric phases; Based on the joint phase comprising the frequency conversion phase and the inverse phase, the main carrier filter and the subcarrier filter are reconstructed into a band-pass form to complete the joint reconstruction of the target subcarrier filter and the main carrier filter.

5. The method of claim 1, wherein, The filter processing of the target TT&C signal by the reconstructed filter comprises: The target TT&C signal is input into the reconstructed filter, and a convolution algorithm corresponding to the reconstructed filter is applied to filter the target TT&C signal.

6. The method of claim 1, wherein, After the main carrier and the subcarrier in the target TT&C signal are obtained, the method further comprises: The modulation specification of the target TT&C signal is determined; The demodulation processing corresponding to the target TT&C signal is performed according to the modulation specification.

7. The method of claim 6, wherein, The modulation specification is an FM and MPSK composite modulation scheme or a PM and MPSK composite modulation scheme; The demodulation processing corresponding to the target TT&C signal according to the modulation specification comprises: When the modulation specification is a PM and MPSK composite modulation scheme, the filtered target TT&C signal is subjected to PM demodulation according to a preset outer-layer PM demodulation algorithm, to obtain PM demodulation data. When the modulation specification is a PM and MPSK composite modulation scheme, the filtered target TT&C signal is subjected to PM demodulation according to a preset outer-layer PM demodulation algorithm, to obtain PM demodulation data. The FM demodulation data or the PM demodulation data is subjected to DDC processing and inner-layer MPSK demodulation processing, to obtain final demodulation data.

8. A signal processing apparatus based on adaptive bandwidth demodulation performance optimization, characterized by, The device comprises: The setting unit sets a plurality of low-pass filters with different bandwidths based on the use scenario of the TT&C signal, each low-pass filter comprising a main carrier filter and a plurality of subcarrier filters, and each subcarrier filter having the same length; The selection unit selects a target subcarrier filter from each low-pass filter when a target TT&C signal is detected; The reconstruction unit reconstructs the target subcarrier filter and the main carrier filter to obtain a reconstructed filter; The filtering unit applies the reconstructed filter to the target TT&C signal for filtering processing, and only retains the main carrier and subcarriers in the target TT&C signal.

9. The apparatus of claim 8, wherein, The device further comprises: The demodulation unit determines the modulation specification of the target TT&C signal, and performs demodulation processing corresponding to the target TT&C signal according to the modulation specification; wherein the modulation specification is a FM and MPSK composite modulation scheme or a PM and MPSK composite modulation scheme.

10. An electronic device, comprising: A memory, and one or more instructions, wherein the one or more instructions are stored in the memory and configured to be executed by one or more processors to perform the signal processing method based on adaptive bandwidth demodulation performance optimization of a signal according to any one of claims 1-7.

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