Cross-channel broadband signal bandwidth measurement method based on channelization

Abstract

The invention relates to a channelization-based cross-channel broadband signal bandwidth measurement method, which comprises the following steps of: grouping channels of a channelization digital receiving system, and judging whether a signal frequency is in a channel bandwidth range or not by judging a range of a sub-channel phase difference value, so as to obtain frequency measurement effective enabling and effective detection pulse; calculating a signal frequency according to a sub-channel signal phase difference; intercepting an effective signal frequency according to sub-channel frequency measurement effective enabling; carrying out bandwidth measurement on sub-channel signals; carrying out time domain overlapping signal detection and processing; in conclusion, the method has the advantages of being good in broadband signal bandwidth measurement effect, wide in application range, small in resource occupation, high in real-time performance and quite suitable for a system sensitive to resource use and high in real-time performance requirement.

Description

Technical Field

[0001] The invention belongs to the technical field of electronic countermeasure systems, and in particular relates to a method for measuring the bandwidth of a cross-channel broadband signal based on channelization. Background Art

[0002] The increasingly complex battlefield electromagnetic environment has put forward higher requirements on the working bandwidth, instantaneous bandwidth and other performance of the electronic countermeasure system. In addition, more and more broadband radars and ultra-wideband radars are being used in electronic countermeasure systems, which has promoted the development of electronic countermeasure systems towards broadband systems. Existing electronic reconnaissance systems usually adopt a channelized structure, which is mainly used to measure the signal's phase, frequency, bandwidth, signal type and other data information after intercepting radar signals. However, with the continuous increase of radar instantaneous bandwidth, it is necessary to carry out high-precision and high-real-time bandwidth measurement based on channelization for the broadband intermediate frequency receiving signal of the electronic countermeasure system.

[0003] An invention patent with application number "CN201811016953.1" named "A receiver bandwidth measurement method" mentions a receiver bandwidth measurement method, which can determine the boundary conditions of the effective signal by setting different effective signal threshold values, and control the accuracy of signal measurement by setting different window lengths. It has high operating efficiency and is conducive to use in actual equipment. However, as a traditional receiver, it does not have the large dynamic range, high sensitivity and frequency resolution, and the ability to receive and process time-domain overlapping signals that digital channelized receivers have, which limits its use; an invention patent with application number "CN201510846003.1" named "A method based on digital channels The invention patent "A method for measuring the frequency of narrow pulses based on channelization" proposes a frequency measurement method based on channelization. The instantaneous phase difference frequency measurement and multi-point cumulative averaging method are used for the point-frequency signal, which can obtain a more accurate frequency measurement result, but it is not suitable for cross-channel broadband signals; the invention patent entitled "A method and device for detecting and identifying broadband signals" with application number "CN202010017806.7" proposes a method and device for detecting and identifying broadband signals, which realizes the bandwidth measurement and modulation mode recognition of channelized output signals. However, its design is based on FFT-based power spectrum threshold detection, which takes a long time to calculate and consumes a lot of resources, and is difficult to meet the requirements of systems with high requirements on resource utilization and real-time performance.

[0004] At present, the broadband intermediate frequency signal has cross-channel phenomenon in the channelized processing. The research on cross-channel broadband signal detection has also made great progress, but the following problems still exist: (1) The resource usage is large. The current mainstream FPGA (field programmable gate array) resources are still limited. It is difficult to allocate a large amount of resources for bandwidth measurement while meeting the basic function of detecting interference; (2) The real-time performance is poor. The bandwidth measurement method based on spectrum detection requires FFT calculation of the intra-pulse signal, which has a high delay. In practical applications, it is often required to output the signal bandwidth measurement result at the falling edge of the pulse; (3) Signal recognition is difficult. Since channelized receivers mostly use overlapping filter design, broadband signals across multiple channels will cause overlap of pulse detection and frequency measurement between corresponding channels, making it difficult to identify and splice the measurement results of a single signal in multiple channels. In addition, the simultaneous arrival of multiple signals further increases the difficulty of recognition and splicing. Summary of the invention

[0005] In view of this, the present invention proposes a channelized cross-channel broadband signal bandwidth measurement method, which is applied to the technical field of electronic countermeasure systems and can solve the existing technical problems of excessive resource usage, poor real-time performance and difficult signal identification.

[0006] In order to achieve the above technical objectives, the specific technical solutions adopted by the present invention are:

[0007] A method for measuring bandwidth of a cross-channel wideband signal based on channelization comprises the following steps:

[0008] S1, grouping the channels of the channelized digital receiving system;

[0009] S2. Determine whether the signal frequency is within the channel bandwidth by judging the range of the sub-channel phase difference value, thereby obtaining a frequency measurement effective enable and an effective detection pulse;

[0010] S3, calculating the signal frequency according to the sub-channel signal phase difference;

[0011] S4, effectively enabling interception and selection of effective signal frequency according to sub-channel frequency measurement;

[0012] S5. performing bandwidth measurement on the sub-channel signal;

[0013] S6, performing time domain overlapping signal detection and processing, generating an effective channel identification matrix for each signal;

[0014] S7. According to the effective channel identification matrix, add the effective bandwidth measurement values ​​of the channel where the signal is located to obtain the signal bandwidth;

[0015] In step S6, it is set to perform time domain overlapping signal detection and processing on K channels, and the i-th signal generates an effective channel identification matrix Mi =[m1,m2...m j ], i = 1, 2, ..., the time domain overlapping signal detection steps are as follows:

[0016] S601, respectively, from the 1st channel to the Kth channel and from the Kth channel to the 1st channel, and simultaneously detect the signal narg_valid m , m∈[1,K] rising edge, when channel m detects the rising edge of the pulse earliest, the group to which this signal belongs is judged to be the channel group containing channel m, channel m-1, and channel m-2.

[0017] S602. If both groups of channels are determined to have signals, a bitwise AND operation is performed on the identification matrix M1 generated by the first group of channels and the identification matrix M2 generated by the second group of channels. If M1&M2=0, the two signals completely belong to the two groups of channels and there is no signal overlap between the two groups of channels, or the two signals are in the same group of channels but the frequencies do not overlap. If M1&M2≠0, the signals overlap between the two groups of channels, and only the signals of the first group of channels are processed.

[0018] Furthermore, in step S1, the M channels of the channelized digital receiving system are grouped, and each channel group contains at most three channels; if it is real number channelization, the M channels are divided into K-1 groups (M=2K), and the grouping method is as follows:

[0019] Group 1: Channel 2, Channel 3

[0020] Group k: channel k, channel k-1, channel k-2, k∈[2,K-2]

[0021] Group K-1: Channel K-1, Channel K

[0022] If complex channelization is used, M channels are divided into K groups (M=K), and the grouping method is as follows:

[0023] Group 1: Channel 1, Channel 2

[0024] Group k: channel k-1, channel k, channel k+1, k∈[2,K-1]

[0025] Group K: Channel K-1, Channel K

[0026] K is the channelization decimation factor.

[0027] Further, in step S2, the detection pulse output of the channel where the signal is located is set to narg m , m∈[1,K], for the sampled signal in the mth channel, the phase difference between two adjacent signal sampling points is calculated to obtain the phase difference set m∈[1,K], Num is the signal length, and the phase difference value is judged to meet the range of To determine whether the signal frequency is within the channel bandwidth, so as to obtain the effective enable cf of the frequency measurement m , m∈[1,K], and according to cf m , get the channel valid detection pulse narg_valid m =narg m &cf m , m∈[1,K].

[0028] Further, in step S3, the phase difference is set to According to the phase difference Calculate the signal frequency set F m , m∈[1,K], the calculation formula is as follows

[0029]

[0030] Further, in step S4, the frequency measurement enable is set to cf m , according to the frequency measurement, effectively enable cf m The effective signal frequency set Fvalm of the mth channel is selected as Fvalm=cfm×F m , m∈[1,K].

[0031] Further, in step S5, the bandwidth measurement result is BWm,

[0032] BWm=max(Fvalm)-min(Fvalm), m∈[1,K].

[0033] Furthermore, in step S6, a judgment is made for the case where multiple signals are located in the same group of channels but have no frequency overlap. For the nth group of channels, when a rising edge is detected in the n+2 channel, it indicates that there is a signal in the current channel; when a rising edge is detected in the n+1 channel, it indicates that there is a signal in the current channel; when a rising edge is detected in the n channel, it indicates that there is a signal in the current channel, and finally an identification matrix is ​​generated; if the signal is located in the nth and n+2 channels, n∈[2,14], the matrix M1 result is [0…101…0], at this time the matrix result is changed to [0…100…0], the signal of the nth channel is judged to be processed by state machine 2, and M2 is [0…001…0].

[0034] Further, in step S6, a judgment is made for the situation where multiple signals are located in the same channel group but have overlapping frequencies. If the signals are located in the nth, n+1th and n+2th channels, if min(Fval n+1 )-max(Fval n+2 )>fre_min,min(Fval n)-max(Fval n+1 )≤fre_min, fre_min is the maximum frequency measurement error, then the signal in channel n+2 is an independent signal; if min(Fval n+1 )-max(Fval n+2 )≤fre_min,min(Fval n )-max(Fval n+1 )>fre_min, then the signals in channel n are independent signals; if min(Fval n+1 )-max(Fval n+2 )>fre_min,min(Fval n )-max(Fval n+1 )>fre_min, then the signals in channels n+2, n+1, and n are all independent signals; if min(Fval n+1 )-max(Fval n+2 )≤fre_min,min(Fval n )-max(Fval n+1 )≤fre_min, the signals in channels n+2, n+1, and n are the same signal.

[0035] Further, in step S602, state machine 1 obtains the effective channel identification matrix M1, and state machine 2 obtains the effective channel identification matrix M2. M1 and M2 are bitwise ANDed. If the result is 0, there is no frequency overlap, and the system identifies them as two signals and processes them separately. If the result is not 0, they are judged as the same signal, and only the signal detected by state machine 1 is processed. State machine 2 re-enters the detection state and finally obtains the effective channel identification matrix Mi.

[0036] Further, in step S7, the effective channel identification matrix is ​​set to M i , add the effective bandwidth measurement values ​​of the channel where the signal is located to obtain the bandwidth of the i-th signal By calculating the matrix M i The element in gets m j , calculate the measurement bandwidth BW of each channel where the signal is located m Get BW j , B.W. j is the measurement bandwidth of each channel where the signal is located, j∈[m i ,m i +n i -1],m i is the starting channel of the channel where the i-th signal is located, m i ∈[2, k], n i is the number of channels occupied by the ith signal, n i ∈[1,3].

[0037] By adopting the above technical solution, the present invention can also bring the following beneficial effects:

[0038] 1. The present invention mentions a channelized cross-channel broadband signal bandwidth measurement method, which groups the channels of the channelized digital receiving system, and then determines whether the signal frequency is within the channel bandwidth by judging the range of the sub-channel phase difference value, thereby obtaining a frequency measurement effective enable and a valid detection pulse, and then calculates the signal frequency according to the sub-channel signal phase difference and selects the valid signal frequency according to the sub-channel frequency measurement effective enable, performs bandwidth measurement on the sub-channel signal, and then performs time domain overlapping signal detection and processing, generates an effective channel identification matrix for each signal, and finally adds the effective bandwidth measurement values ​​of the channel where the signal is located according to the effective channel identification matrix to obtain the signal bandwidth, thereby realizing broadband signal bandwidth measurement across up to three channels, and supporting the identification and bandwidth measurement of at least two time domain overlapping signals, and having a very wide range of applications.

[0039] 2. The present invention mentions a channelized cross-channel broadband signal bandwidth measurement method, which occupies less resources and avoids the large amount of resource consumption caused by FFT spectrum calculation. The phase difference and frequency comparison functions consume almost no DSP resources, saving resources for the system to realize other key functions and having high real-time performance. Since the phase difference frequency measurement method is adopted, the frequency measurement process is synchronized with the signal receiving process. When the signal reception ends, the frequency measurement and bandwidth measurement also end synchronously. It can be widely used in broadband radar detection or interference systems, especially in systems that are sensitive to resource usage and have high real-time requirements. It has more advantages and has a very large expansion space. BRIEF DESCRIPTION OF THE DRAWINGS

[0040] In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings required for use in the embodiments will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0041] Figure 1 It is a flow chart of a method for measuring bandwidth of a cross-channel wideband signal based on channelization in a specific implementation manner of the present invention;

[0042] Figure 2 It is a schematic diagram of a channelized efficient structure in a specific implementation manner of the present invention;

[0043] Figure 3 This is a schematic diagram of 50% channel overlap in a specific implementation manner of the present invention;

[0044] Figure 4 A schematic diagram of channel division in a specific implementation manner of the present invention;

[0045] Figure 5 It is a timing diagram of pulse determination of the overlapping part of the filter in a specific implementation mode of the present invention;

[0046] Figure 6 This is a timing diagram of channel effective bandwidth interception in a specific implementation mode of the present invention;

[0047] Figure 7 It is a schematic diagram of the signal recognition and identification matrix generation process in a specific implementation manner of the present invention. DETAILED DESCRIPTION

[0048] The embodiments of the present invention are described in detail below with reference to the accompanying drawings.

[0049] The following describes the embodiments of the present invention through specific examples, and those skilled in the art can easily understand other advantages and effects of the present invention from the contents disclosed in this specification. Obviously, the described embodiments are only part of the embodiments of the present invention, rather than all of the embodiments. The present invention can also be implemented or applied through other different specific embodiments, and the details in this specification can also be modified or changed in various ways based on different viewpoints and applications without departing from the spirit of the present invention. It should be noted that the following embodiments and features in the embodiments can be combined with each other without conflict. Based on the embodiments in the present invention, all other embodiments obtained by ordinary technicians in this field without making creative work belong to the scope of protection of the present invention.

[0050] It should be noted that various aspects of the embodiments within the scope of the appended claims are described below. It should be apparent that the aspects described herein can be embodied in a wide variety of forms, and any specific structure and / or function described herein is merely illustrative. Based on the present invention, it should be understood by those skilled in the art that an aspect described herein can be implemented independently of any other aspect, and two or more of these aspects can be combined in various ways. For example, any number of aspects described herein can be used to implement the device and / or practice the method. In addition, other structures and / or functionalities other than one or more of the aspects described herein can be used to implement this device and / or practice this method.

[0051] It should also be noted that the illustrations provided in the following embodiments are only schematic illustrations of the basic concept of the present invention. The drawings only show components related to the present invention rather than being drawn according to the number, shape and size of components in actual implementation. In actual implementation, the type, quantity and proportion of each component may be changed arbitrarily, and the component layout may also be more complicated.

[0052] Additionally, in the following description, specific details are provided to facilitate a thorough understanding of the examples. However, it will be understood by those skilled in the art that the aspects described may be practiced without these specific details.

[0053] In one embodiment of the present invention, real channelization is set and the signal spans 3 channels, such as Figures 1 to 4 As shown, a method for measuring the bandwidth of a cross-channel wideband signal based on channelization includes the following steps:

[0054] S1: Grouping 16 channels of the channelized digital receiving system, i.e., K=16;

[0055] S2: The detection pulse output by the channel where the signal is located is narg m , m∈[1,16]. For the sampled signal in the mth channel, the phase difference between two adjacent signal sampling points is calculated to obtain the phase difference set m∈[1,16], Num is the signal length, and the phase difference value is judged to meet the range of To determine whether the signal frequency is within the channel bandwidth, so as to obtain the effective enable cf of the frequency measurement m , m∈[1,16], and according to cf m , get the channel valid detection pulse narg_valid m =narg m &cf m , m∈[1,16].

[0056] S3: For the sampled signal in the channel where the signal is located, according to the phase difference Calculate the signal frequency F m , m∈[1,16];

[0057] S4: Enable cf according to frequency measurement m The effective signal frequency of the mth channel is Fvalm=cfm×F m , m∈[1,16];

[0058] S5: measure the bandwidth of the channel where the signal is located: BWm=max(Fvalm)-min(Fvalm), m∈[1,16];

[0059] S6: Perform time domain overlapping signal detection and processing on 16 channels, and generate an effective channel identification matrix Mi (i=1, 2, ...) for each signal;

[0060] S7: According to the effective channel identification matrix Mi, the effective bandwidth measurement values ​​of the channels where the signals are located are added to obtain the signal bandwidth.

[0061] The detailed functions of each major step are explained as follows:

[0062] (1) Channel grouping: Since the first channel of real channelization has only I component but no Q component, in actual engineering, only the second to the sixteenth channels are analyzed. In this design, only the case where the broadband signal spans at most three channels is considered. The 15 channels are divided into 15 groups, and each group of channels contains 2-3 sub-channels, as shown in the following table:

[0063] Channel group number Intra-group channel Channel Group 1 Channel 2, Channel 3 Channel Group 2 Channel 2, Channel 3, Channel 4 Channel Group 3 Channel 3, Channel 4, Channel 5 ... … Channel 12 Channel 12, Channel 13, Channel 14 Channel 13 Channel 13, Channel 14, Channel 15 Channel 14 Channel 14, Channel 15, Channel 16 Channel 15 Channel 15, Channel 16

[0064] (2) Phase difference measurement and obtaining effective frequency measurement enable: The detection pulse output by the channel where the signal is located is narg m , m∈[1,16], phase difference set m∈[1,16], is the phase value of the nth sampling point, where n=(2,...,Num), PW is the signal pulse width, F s is the AD sampling rate, K is the channelization decimation multiple, that is, K = 16, and the frequency measurement is effectively enabled For collection elements, and according to cf m , get the channel valid detection pulse narg_valid m =narg m &cf m , m∈[1,16], by Figure 6 It can be seen that the frequency measurement value is valid when the frequency measurement valid signal is high level. Figure 5 It can be seen that narg8_reg, narg9_reg, and narg10_reg are pulses with overlap before determination, and narg8, narg9, and narg10 are valid detection pulses with no overlap after determination.

[0065] (3) Calculate the signal frequency F based on the phase difference m , phase difference set m∈[1,16], is the phase value of the nth sampling point, where n = (2, ..., Num), PW is the signal pulse width, F s is the AD sampling rate, K is the channelization decimation multiple, that is, K = 16;

[0066] (4) Calculate the effective signal frequency of the channel based on the frequency measurement enable Fvalm = cfm × F m :According to the above signal frequency measurement is enabled, that is, when cfm is high, the frequency measurement result set F of each point in the channel where the signal is located mPerform interception to obtain the effective signal frequency within the channel bandwidth, Figure 6 It can be seen that Freq is the real-time measurement frequency of the signal, and cf_valid is the effective enable of the frequency measurement.

[0067] (5) Measure the bandwidth of the channel BWm = max(Fvalm) - min(Fvalm): Figure 6 It can be seen that after comparing and screening the effective frequencies, the maximum and minimum values ​​are output, and the difference is the signal bandwidth in the channel.

[0068] (6) Perform time domain overlapping signal detection and processing on the received signals of the 16 channels to obtain the effective channel identification matrix Mi (i=1, 2, ...); perform time domain overlapping signal detection. If the input signals are two signals with time domain overlap, two state machines are used to simultaneously perform rising edge detection on the effective detection pulse from the 16th channel to the 1st channel (state machine 1) and from the 1st channel to the 16th channel (state machine 2). Through the decision strategy described in step 6, state machine 1 obtains the effective channel identification matrix M1 and state machine 2 obtains the effective channel identification matrix M2. M1 and M2 are bitwise ANDed. If the result is 0, there is no frequency overlap. The system identifies them as two signals and processes them separately. If the result is not 0, they are judged as the same signal. Only the signal detected by state machine 1 is processed. State machine 2 re-enters the detection state to finally obtain the effective channel identification matrix Mi:

[0069] like Figure 7 As shown in the figure, when multiple signals are located in the same group of channels but the frequencies do not overlap, taking the nth group of channels as an example, when the n+2 channel detects a rising edge, it indicates that there is a signal in the current channel, when the n+1 channel detects a rising edge, it indicates that there is a signal in the current channel, and when the n channel detects a rising edge, it indicates that there is a signal in the current channel, and finally an identification matrix is ​​generated. It should be noted that in Figure 7 In the example, if the signal is located in the nth and n+2th channels, n∈[2,14], the matrix M1 result is [0…101…0]. At this time, the matrix result is forcibly changed to [0…100…0]. The signal of the nth channel is judged to be processed by state machine 2, then M2 is [0…001…0], avoiding bandwidth calculation errors.

[0070] When multiple signals are located in the same channel group and the frequencies overlap, if the signals are located in the nth, n+1th and n+2th channels, if min(Fval n+1 )-max(Fval n+2 )>fre_min,min(Fval n )-max(Fval n+1)≤fre_min, fre_min is the maximum frequency measurement error, then the signal in channel n+2 is an independent signal, M1 is [0…100…0], M2 is [0…011…0]; if min(Fval n+1 )-max(Fval n+2 )≤fre_min,min(Fval n )-max(Fval n+1 )>fre_min, the signal in channel n is an independent signal, M1 is [0…110…0], M2 is [0…001…0]; if min(Fval n+1 )-max(Fval n+2 )>fre_min,min(Fval n )-max(Fval n+1 )>fre_min, then the signals in channels n+2, n+1, and n are independent signals, M1 is [0…100…0], M2 is [0…010…0], and M3 is [0…001…0]; if min(Fval n+1 )-max(Fval n+2 )≤fre_min,min(Fval n )-max(Fval n+1 )≤fre_min, the signals in channels n+2, n+1, and n are the same signal, and M1 is [0…111…0], which avoids bandwidth calculation errors.

[0071] (7) According to the effective channel identification matrix M, the effective bandwidth measurement values ​​of all channels where the signal is located are added to obtain the signal bandwidth.

[0072] In summary, the present invention has the advantages of good broadband signal bandwidth measurement effect, wide application range, less resource occupation, high real-time performance and is very suitable for systems that are sensitive to resource usage and have high real-time requirements.

[0073] The above is only a specific embodiment of the present invention, but the protection scope of the present invention is not limited thereto. Any changes or substitutions that can be easily thought of by a person skilled in the art within the technical scope disclosed by the present invention should be included in the protection scope of the present invention. Therefore, the protection scope of the present invention shall be subject to the protection scope of the claims.

Claims

1. A method for measuring the bandwidth of a cross-channel wideband signal based on channelization, characterized in that: The following steps are involved: S1, grouping the channels of the channelized digital receiving system; S2. Determine whether the signal frequency is within the channel bandwidth by judging the range of the sub-channel phase difference value, thereby obtaining a frequency measurement effective enable and an effective detection pulse; S3, calculating the signal frequency according to the sub-channel signal phase difference; S4, effectively enabling interception and selection of valid signal frequency according to sub-channel frequency measurement; S5. performing bandwidth measurement on the sub-channel signal; S6, performing time domain overlapping signal detection and processing, generating an effective channel identification matrix for each signal; S7. According to the effective channel identification matrix, add the effective bandwidth measurement values ​​of the channel where the signal is located to obtain the signal bandwidth; In step S6, it is set to perform time domain overlapping signal detection and processing on K channels, and the i-th signal generates an effective channel identification matrix M i =[m1,m2...m j ], i = 1, 2, ..., the time domain overlapping signal detection steps are as follows: S601, respectively, from the 1st channel to the Kth channel and from the Kth channel to the 1st channel, and simultaneously detect the signal narg_valid m , m∈[1,K] rising edge, when channel m detects the rising edge of the pulse earliest, the group to which this signal belongs is judged to be the channel group containing channel m, channel m-1, and channel m-2. S602. If both groups of channels are determined to have signals, a bitwise AND operation is performed on the identification matrix M1 generated by the first group of channels and the identification matrix M2 generated by the second group of channels. If M1&M2=0, the two signals completely belong to the two groups of channels and there is no signal overlap between the two groups of channels, or the two signals are in the same group of channels but the frequencies do not overlap. If M1&M2≠0, the signals overlap between the two groups of channels, and only the signals of the first group of channels are processed.

2. A method for measuring bandwidth of a cross-channel wideband signal based on channelization as claimed in claim 1, characterized in that: In step S1, the M channels of the channelized digital receiving system are grouped, and each channel group contains at most three channels; if it is real number channelization, the M channels are divided into K-1 groups (M=2K), and the grouping method is as follows: Group 1: Channel 2, Channel 3 Group k: channel k, channel k-1, channel k-2, k∈[2,K-2] Group K-1: Channel K-1, Channel K If complex channelization is used, M channels are divided into K groups (M=K), and the grouping method is as follows: Group 1: Channel 1, Channel 2 Group k: channel k-1, channel k, channel k+1, k∈[2,K-1] Group K: Channel K-1, Channel K K is the channelization decimation factor.

3. A method for measuring bandwidth of a cross-channel wideband signal based on channelization as claimed in claim 2, characterized in that: In step S2, the detection pulse output by the channel where the signal is located is set to narg m , m∈[1,K], for the sampled signal in the mth channel, the phase difference between two adjacent signal sampling points is calculated to obtain the phase difference set Num is the signal length, and the phase difference value is judged to meet the range of To determine whether the signal frequency is within the channel bandwidth, so as to obtain the effective enable cf of the frequency measurement m , m∈[1,K], and according to cf m , get the channel valid detection pulse narg_valid m =narg m &cf m , m∈[1,K].

4. A method for measuring bandwidth of a cross-channel wideband signal based on channelization as claimed in claim 3, characterized in that: In step S3, the phase difference is set to According to the phase difference Calculate the signal frequency set F m , m∈[1,K], the calculation formula is as follows 5. A method for measuring bandwidth of a cross-channel wideband signal based on channelization as claimed in claim 4, characterized in that: In step S4, the frequency measurement enable is set to cf m , according to the frequency measurement, effectively enable cf m The effective signal frequency set Fvalm of the mth channel is truncated = cfm × F m , m∈[1,K].

6. A method for measuring bandwidth of a cross-channel wideband signal based on channelization as claimed in claim 5, characterized in that: In step S5, the bandwidth measurement result is BWm, BWm=max(Fvalm)-min(Fvalm), m∈[1,K].

7. A method for measuring bandwidth of a cross-channel wideband signal based on channelization as claimed in claim 6, characterized in that: In the step S6, a judgment is made for the case where multiple signals are located in the same group of channels but have no frequency overlap. For the nth group of channels, when a rising edge is detected in the n+2 channel, it indicates that there is a signal in the current channel; when a rising edge is detected in the n+1 channel, it indicates that there is a signal in the current channel; when a rising edge is detected in the n channel, it indicates that there is a signal in the current channel, and finally an identification matrix is ​​generated; if the signal is located in the nth and n+2 channels, n∈[2,14], the matrix M1 result is [0…101…0], at this time the matrix result is changed to [0…100…0], the signal of the nth channel is judged to be processed by state machine 2, and M2 is [0…001…0].

8. The method for measuring bandwidth of a cross-channel wideband signal based on channelization according to claim 7, characterized in that: In step S6, a judgment is made for the situation where multiple signals are located in the same channel group but have overlapping frequencies. If the signals are located in the nth, n+1th and n+2th channels, if min(Fval n+1 )-max(Fval n+2 )>fre_min,min(Fval n )-max(Fval n+1 )≤fre_min, fre_min is the maximum frequency measurement error, then the signal in channel n+2 is an independent signal; if min(Fval n+1 )-max(Fval n+2 )≤fre_min,min(Fval n )-max(Fval n+1 )>fre_min, then the signals in channel n are independent signals; if min(Fval n+1 )-max(Fval n+2 )>fre_min,min(Fval n )-max(Fval n+1 )>fre_min, then the signals in channels n+2, n+1, and n are all independent signals; if min(Fval n+1 )-max(Fval n+2 )≤fre_min,min(Fval n )-max(Fval n+1 )≤fre_min, the signals in channels n+2, n+1, and n are the same signal.

9. A method for measuring bandwidth of a cross-channel wideband signal based on channelization as claimed in claim 8, characterized in that: In step S602, state machine 1 obtains the effective channel identification matrix M1, and state machine 2 obtains the effective channel identification matrix M2. M1 and M2 are bitwise ANDed. If the result is 0, there is no frequency overlap, and the system identifies them as two signals and processes them separately. If the result is not 0, they are judged as the same signal, and only the signal detected by state machine 1 is processed. State machine 2 re-enters the detection state and finally obtains the effective channel identification matrix Mi.

10. The method for measuring bandwidth of a cross-channel wideband signal based on channelization according to claim 9, characterized in that: In step S7, the effective channel identification matrix is ​​set to M i , add the effective bandwidth measurement values ​​of the channel where the signal is located to obtain the bandwidth of the i-th signal By calculating the matrix M i The element in gets m j , calculate the measurement bandwidth BW of each channel where the signal is located m Get BW j , B.W. j is the measurement bandwidth of each channel where the signal is located, j∈[m i ,m i +n i -1],m i is the starting channel of the channel where the i-th signal is located, m i ∈[2, k], n i is the number of channels occupied by the i-th signal, n i ∈[1,3].

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