A Channelization-Based Method for Measuring the Bandwidth of Cross-Channel Wideband Signals

Abstract

This invention relates to a channelization-based method for measuring the bandwidth of cross-channel broadband signals. The method includes the following steps: grouping the channels of a channelized digital receiving system; determining whether the signal frequency is within the channel bandwidth range by judging the range of the sub-channel phase difference, thereby obtaining effective frequency measurement enable and effective detection pulses; calculating the signal frequency based on the sub-channel signal phase difference; selecting effective signal frequencies based on the sub-channel frequency measurement enable; measuring the bandwidth of the sub-channel signals; performing time-domain overlapping signal detection and processing; generating an effective channel identifier matrix for each signal; and summing the effective bandwidth measurements of the channels containing the signal based on the effective channel identifier matrix to obtain the signal bandwidth. In summary, this invention has the advantages of good broadband signal bandwidth measurement performance, wide application range, low resource consumption, high real-time performance, and is very suitable for systems that are sensitive to resource usage and have high real-time requirements.

Description

Technical Field

[0001] This invention belongs to the field of electronic countermeasures system technology, specifically relating to a method for measuring the bandwidth of cross-channel broadband signals based on channelization. Background Technology

[0002] The increasingly complex battlefield electromagnetic environment places higher demands on the performance of electronic countermeasures systems, such as their operating bandwidth and instantaneous bandwidth. Furthermore, the increasing use of broadband and ultra-wideband radars in electronic countermeasures systems is driving their development towards broadband systems. Existing electronic reconnaissance systems typically employ a channelized structure, primarily used to intercept radar signals and measure data such as phase, frequency, bandwidth, and signal type. However, with the continuous increase in radar instantaneous bandwidth, it is necessary to conduct high-precision, high-real-time bandwidth measurements based on channelization for broadband intermediate frequency received signals in electronic countermeasures systems.

[0003] A patent application with application number "CN201811016953.1" entitled "A Receiver Bandwidth Measurement Method" describes a receiver bandwidth measurement method that determines the definition conditions of effective signals by setting different effective signal threshold values ​​and controls the accuracy of signal measurement by setting different window lengths. It boasts high operating efficiency and is suitable for use in practical equipment. However, as a traditional receiver, it lacks the large dynamic range, high sensitivity, frequency resolution, and ability to receive and process overlapping time-domain signals possessed by digital channelized receivers, limiting its application. Another patent application with application number "CN201510846003.1" entitled "A Method Based on Digital Channel..." The invention patent "A Narrow Pulse Frequency Measurement Method Based on Channelization" proposes a frequency measurement method based on channelization. It uses instantaneous phase difference frequency measurement and multi-point cumulative averaging for point frequency signals, which can obtain relatively accurate frequency measurement results, but it is not suitable for cross-channel broadband signals. The invention patent "A Broadband Signal Detection and Identification Method and Device" with application number "CN202010017806.7" proposes a broadband signal detection and identification method and device, which realizes bandwidth measurement and modulation pattern identification of channelized output signals. However, its design is based on FFT power spectrum threshold detection, which has a long calculation time and consumes a lot of resources, making it difficult to meet the requirements of systems with high resource utilization and real-time performance.

[0004] Currently, cross-channel phenomena already exist in the channelization processing of broadband intermediate frequency signals. Research on cross-channel broadband signal detection has also made great progress, but the following problems still exist: (1) High resource usage. Currently, the resources of mainstream FPGA (Field Programmable Gate Array) are still limited, making it difficult to allocate a large amount of resources for bandwidth measurement while meeting the basic function of detecting interference; (2) Poor real-time performance. The bandwidth measurement method based on spectrum detection requires FFT calculation of the signal within the pulse, resulting in high delay. In practical applications, it is often required to output the signal bandwidth measurement result at the falling edge of the pulse; (3) Difficult signal identification. Since channelized receivers mostly adopt overlapping filter design, broadband signals crossing 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. Furthermore, the simultaneous arrival of multiple signals further increases the difficulty of identification and splicing. Summary of the Invention

[0005] In view of this, the present invention proposes a channelization-based method for measuring the bandwidth of cross-channel broadband signals, which is applied to the field of electronic countermeasures system technology and can solve the existing technical problems of high resource consumption, poor real-time performance and difficulty in signal identification.

[0006] To achieve the above-mentioned technical objectives, the specific technical solution adopted by the present invention is as follows:

[0007] A channelization-based method for measuring the bandwidth of cross-channel broadband signals includes the following steps:

[0008] S1. Group the channels of the channelized digital receiving system;

[0009] S2. By judging the range of the sub-channel phase difference, it is determined whether the signal frequency is within the channel bandwidth range, thereby obtaining the effective frequency measurement enable and effective detection pulse;

[0010] S3. Calculate the signal frequency based on the phase difference of the sub-channel signals;

[0011] S4. Select the effective signal frequency based on the sub-channel frequency measurement enable;

[0012] S5. Measure the bandwidth of the sub-channel signal;

[0013] S6. Perform time-domain overlapping signal detection and processing, and generate an effective channel identifier matrix for each signal;

[0014] S7. Based on the effective channel identifier matrix, add the effective bandwidth measurements of the channel where the signal is located to obtain the signal bandwidth;

[0015] In step S6, time-domain overlapping signal detection and processing are performed on K channels, and an effective channel identifier matrix M is generated for the i-th signal.i =[m1,m2...m j The steps for detecting overlapping signals in the time domain, where i = 1, 2, ..., are as follows:

[0016] S601. Simultaneously detect the signal narg_valid in both directions: from the first channel to the Kth channel and from the Kth channel to the first channel. m When the rising edge of the pulse is detected earliest in channel m, the group containing this signal is determined to be a channel group containing channel m, channel m-1, and channel m-2.

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

[0018] Furthermore, in step S1, the M channels of the channelized digital receiving system are grouped, with each group containing 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] For complex channelization, the 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] Furthermore, in step S2, the detection pulse output by the channel where the signal is located is set to narg. m For the sampled signal in the m-th channel, m∈[1,K], calculate the phase difference between two adjacent signal sampling points to obtain the phase difference set. m∈[1,K], Num is the signal length, and the range of phase difference is determined by whether it meets the condition. To determine whether the signal frequency is within the channel bandwidth range, thus obtaining the effective frequency measurement enable (cf). m , m∈[1,K], and according to cf m The valid detector pulse narg_valid of this channel is obtained. m =narg m &cf m , m∈[1,K].

[0028] Furthermore, in step S3, the phase difference is set to... Based on phase difference Calculate the signal frequency set F m For m∈[1,K], the calculation formula is as follows:

[0029]

[0030] Furthermore, in step S4, the frequency measurement enable is set to cf. m CF is enabled based on frequency measurement. m Select the effective signal frequency set of the m-th channel: Fvalm = cfm × F m , m∈[1,K].

[0031] Furthermore, 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 their frequencies do not overlap. For the nth group of channels, when the rising edge is detected in channel n+2, it indicates that there is a signal in the current channel; when the rising edge is detected in channel n+1, it indicates that there is a signal in the current channel; when the rising edge is detected in channel n, it indicates that there is a signal in the current channel. Finally, an identification matrix is ​​generated. If the signal is located in the nth and n+2th channels, n∈[2,14], the result of matrix M1 is [0…101…0]. At this time, the matrix result is changed to [0…100…0]. The signal in the nth channel is determined to be processed by state machine 2, and then M2 is [0…001…0].

[0034] Furthermore, in step S6, a judgment is made regarding the case where multiple signals are located in the same group of channels but their frequencies overlap. If the signal is 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 If )≤fre_min, where fre_min is the maximum frequency measurement error, then the signal within channel n+2 is an independent signal; if min(Fval)≤fre_min, then the signal within channel n+2 is an independent signal; n+1 )-max(Fval n+2 )≤fre_min,min(Fval n )-max(Fval n+1 If ) > fre_min, then the signals within channel n are independent signals; if min(Fval) > fre_min, then the signals within channel n are independent signals; n+1 )-max(Fval n+2 )>fre_min,min(Fval n )-max(Fval n+1 If ) > fre_min, then the signals in channels n+2, n+1, and n are all independent signals; if min(Fval) > fre_min, then the signals in channels n+2, n+1, and n are all independent signals; n+1 )-max(Fval n+2 )≤fre_min,min(Fval n )-max(Fval n+1 If )≤fre_min, then the signals in channels n+2, n+1, and n are the same signal.

[0035] Furthermore, in step S602, state machine 1 obtains the effective channel identifier matrix M1, and state machine 2 obtains the effective channel identifier 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 identifier matrix Mi.

[0036] Furthermore, in step S7, the effective channel identifier matrix is ​​set to M. i The bandwidth of the i-th signal is obtained by summing the effective bandwidth measurements of the channel in which the signal resides. By calculating matrix M i The element in the middle is m j Calculate the measurement bandwidth BW of each channel where the signal is located. m Get BW j BW j Let j∈[m] be the measured bandwidth of each channel containing the signal. i ,m i +n i -1],m i Let m be the starting channel of the channel containing the i-th signal. i ∈[2, k], n i Let n be the number of channels occupied by the i-th signal. i ∈[1,3].

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

[0038] 1. This invention discloses a channelization-based method for measuring the bandwidth of cross-channel broadband signals. The method groups the channels of a channelized digital receiving system, then determines whether the signal frequency is within the channel bandwidth range by judging the range of the sub-channel phase difference, thereby obtaining the effective frequency measurement enable and effective detection pulse. The signal frequency is then calculated based on the sub-channel signal phase difference, and the effective signal frequency is selected based on the sub-channel frequency measurement enable. Bandwidth measurement is performed on the sub-channel signals, followed by time-domain overlapping signal detection and processing. An effective channel identifier matrix is ​​generated for each signal. Finally, based on the effective channel identifier matrix, the effective bandwidth measurements of the channels containing the signal are summed to obtain the signal bandwidth. This method enables broadband signal bandwidth measurement across up to three channels and supports the identification and bandwidth measurement of at least two time-domain overlapping signals, making it applicable to a wide range of applications.

[0039] 2. The channelization-based cross-channel broadband signal bandwidth measurement method mentioned in this invention has low resource consumption, avoiding the large 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 implement other key functions. It has high real-time performance. Since the phase difference frequency measurement method is used, the frequency measurement process is synchronized with the signal reception process. The frequency measurement and bandwidth measurement are completed simultaneously with the signal reception. It can be widely used in broadband radar reconnaissance or jamming systems, especially in systems that are sensitive to resource usage and have high real-time requirements. It also has great expansion potential. Attached Figure Description

[0040] To more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings used in the embodiments will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0041] Figure 1 This is a flowchart of a channelization-based cross-channel broadband signal bandwidth measurement method according to a specific embodiment of the present invention;

[0042] Figure 2 This is a schematic diagram of a channelized high-efficiency structure in a specific embodiment of the present invention;

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

[0044] Figure 4 This is a schematic diagram of channel division in a specific embodiment of the present invention;

[0045] Figure 5 This is a timing diagram for determining the pulse overlap portion of the filter in a specific embodiment of the present invention;

[0046] Figure 6 This is a timing diagram for intercepting the effective bandwidth of the channel in a specific embodiment of the present invention;

[0047] Figure 7 This is a schematic diagram of the signal recognition and identification matrix generation process in a specific embodiment of the present invention. Detailed Implementation

[0048] The embodiments of the present invention will now be described in detail with reference to the accompanying drawings.

[0049] The following specific examples illustrate the implementation of the present invention. Those skilled in the art can easily understand other advantages and effects of the present invention from the content disclosed in this specification. Obviously, the described embodiments are only a part of the embodiments of the present invention, and not all of them. 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 based on different viewpoints and applications without departing from the spirit of the present invention. It should be noted that, in the absence of conflict, the following embodiments and features in the embodiments can be combined with each other. All other embodiments obtained by those skilled in the art based on the embodiments of the present invention without creative effort are within the scope of protection of the present invention.

[0050] It should be noted that various aspects of embodiments within the scope of the appended claims are described below. It will be apparent that the aspects described herein can be embodied in a wide variety of forms, and any particular structure and / or function described herein is merely illustrative. Based on this invention, those skilled in the art will understand that one 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 set forth herein can be used to implement the device and / or practice the method. Additionally, this device and / or method can be implemented using other structures and / or functionalities besides one or more of the aspects set forth herein.

[0051] It should also be noted that the illustrations provided in the following embodiments are only schematic representations of the basic concept of the present invention. The drawings only show the components related to the present invention and are not drawn according to the actual number, shape and size of the components in the actual implementation. In the actual implementation, the form, quantity and proportion of each component can be arbitrarily changed, and the layout of the components may also be more complex.

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

[0053] In one embodiment of the invention, real-number channelization is configured and the signal spans three channels, such as... Figures 1 to 4 As shown, a channelization-based method for measuring the bandwidth of cross-channel broadband signals includes the following steps:

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

[0055] S2: The detector pulse output from the channel where the signal is located is narg m m∈[1,16]. For the sampled signal in the m-th 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 range of phase difference is determined by whether it meets the condition. To determine whether the signal frequency is within the channel bandwidth range, thus obtaining the effective frequency measurement enable (cf). m m∈[1,16], and according to cf m The valid detector pulse narg_valid of this channel is obtained. m =narg m &cf m , m∈[1,16].

[0056] S3: For the sampled signal within the channel where the signal is located, based on the phase difference... Calculate the signal frequency F m m∈[1,16];

[0057] S4: Enable cf based on frequency measurement. m Select the effective signal frequency of the m-th channel: 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: Based on the effective channel identifier matrix Mi, add the effective bandwidth measurements of the channel where the signal is located to obtain the signal bandwidth.

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

[0062] (1) Channel Grouping: Since the first channel of the real number channelization only has I components and no Q components, in actual engineering, only channels 2 to 16 are analyzed. In this design, only the case of broadband signals spanning at most three channels is considered. The 15 channels are divided into 15 groups, and each group contains 2-3 sub-channels, as shown in the table below:

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

[0064] (2) Phase difference measurement and acquisition of frequency measurement enable: The detector pulse output from the channel where the signal is located is narg m m∈[1,16], the set of phase differences m∈[1,16], Let n be the phase value of the nth sampling point, where n = (2, ..., Num). PW is the signal pulse width, F s The AD sampling rate is K, where K is the channelization decimation factor (K = 16), and frequency measurement is enabled. For set The elements, and according to cf m The valid detector pulse narg_valid of this channel is obtained. m =narg m &cf m , m∈[1,16], by Figure 6 It is evident that the frequency measurement value is valid when the effective frequency measurement signal is high. From Figure 5 It can be seen that narg8_reg, narg9_reg, and narg10_reg are pulses that overlap before the judgment, while narg8, narg9, and narg10 are valid detection pulses that do not overlap after the judgment.

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

[0066] (4) Calculate the effective signal frequency of the channel, Fvalm = cfm × F, based on the effective frequency measurement enable. m Based on the above signal frequency measurement effective enable, i.e., when cfm is high, the set F of frequency measurement results at each point in the channel where the signal is located is... mBy performing a selection process, the effective signal frequencies within the channel bandwidth are obtained. Figure 6 As can be seen, Freq represents the real-time measurement frequency of the signal, and cf_valid enables the frequency measurement.

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

[0068] (6) Perform time-domain overlap signal detection and processing on the received signals of 16 channels to obtain the effective channel identification matrix Mi (i = 1, 2, ...); perform time-domain overlap signal detection. If the input signals are two signals with time-domain overlap, use two state machines to simultaneously detect the rising edge of 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. Perform a bitwise AND operation on M1 and M2. 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.

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

[0070] When multiple signals are located in the same group of channels and their frequencies overlap, if the signals are located in channels n, n+1, and n+2, and if min(Fval) n+1 )-max(Fval n+2 )>fre_min,min(Fval n )-max(Fval n+1If )≤fre_min, where fre_min is the maximum frequency measurement error, then the signals within channel n+2 are independent signals, M1 is [0…100…0], and M2 is [0…011…0]; if min(Fval)≤fre_min, where fre_min is the maximum frequency measurement error, then the signals within channel n+2 are independent signals, M1 is [0…100…0], and M2 is [0…011…0]; n+1 )-max(Fval n+2 )≤fre_min,min(Fval n )-max(Fval n+1 If ) > fre_min, then the signals within channel n are independent signals, M1 is [0…110…0], M2 is [0…001…0]; if min(Fval) > fre_min, then the signals within channel n are independent signals, M1 is [0…110…0], M2 is [0…001…0]; if min(Fval) > fre_min, then the signals within channel n are independent signals, M1 is [0…110…0], M2 is [0…001…0], then ..., then M2 is [0…001…0], then M2 is [0…001…0], then M2 is [0…001 n+1 )-max(Fval n+2 )>fre_min,min(Fval n )-max(Fval n+1 If ) > 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) > 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]; n+1 )-max(Fval n+2 )≤fre_min,min(Fval n )-max(Fval n+1 If M1 ≤ fre_min, then the signals in channels n+2, n+1, and n are the same signal, and M1 is [0…111…0], thus avoiding bandwidth calculation errors.

[0071] (7) Based on the effective channel identification matrix M, add up the effective bandwidth measurements of all channels to obtain the bandwidth of the signal.

[0072] In summary, this invention has the advantages of good broadband signal bandwidth measurement effect, wide application range, low resource consumption, 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 description is merely a specific embodiment of the present invention, but the scope of protection of the present invention is not limited thereto. Any variations or substitutions that can be easily conceived by those skilled in the art within the technical scope disclosed in the present invention should be included within the scope of protection of the present invention. Therefore, the scope of protection of the present invention should be determined by the scope of the claims.

Claims

1. A method for measuring the bandwidth of cross-channel broadband signals based on channelization, characterized in that, Includes the following steps: S1. Group the channels of the channelized digital receiving system; S2. By judging the range of the phase difference of the sub-channel signals, it is determined whether the signal frequency is within the channel bandwidth range, thereby obtaining the effective frequency measurement enable and effective detection pulse; S3. Calculate the signal frequency based on the phase difference of the sub-channel signals; S4. Select the effective signal frequency based on the sub-channel frequency measurement enable; S5. Measure the bandwidth of the sub-channel signal; S6. Perform time-domain overlapping signal detection and processing, and generate an effective channel identifier matrix for each signal; S7. Based on the effective channel identifier matrix, add the effective bandwidth measurements of the channel where the signal is located to obtain the signal bandwidth; In step S6, time-domain overlapping signal detection and processing are performed on K channels, and an effective channel identifier matrix is ​​generated for the i-th signal. Where K equals 16, the steps for detecting overlapping signals in the time domain are as follows: S601, simultaneously and effectively detect pulses from both the first channel to the Kth channel and from the Kth channel to the first channel. The rising edge of the pulse, when the channel When the rising edge of the pulse is detected earliest, the group containing this signal is determined to be a channel group containing channel m, channel m-1, and channel m-2; S602. If both groups of channels are determined to have signals, then perform a bitwise AND operation on the effective channel identifier matrix M1 generated by the first group of channels and the effective channel identifier matrix M2 generated by the second group of channels. If the two signals belong to two completely different channels and there is no signal overlap between the two channels, or if the two signals are in the same channel but their frequencies do not overlap, then... If the signals overlap between the two sets of channels, only the signals from the first set of channels will be processed.

2. The method for measuring the bandwidth of cross-channel broadband signals based on channelization as described in claim 1, characterized in that: In step S1, the M channels of the channelized digital receiving system are grouped, with each group containing at most three channels; if it is real-number channelization, the M channels are divided into K-1 groups, and the grouping method is as follows: For complex channelization, the M channels are divided into K groups, and the grouping method is as follows: The channelization decimation factor is equal to K.

3. The method for measuring the bandwidth of cross-channel broadband signals based on channelization as described in claim 2, characterized in that: In step S2, the detection pulse output by the channel where the signal is located is set to... For the sampled signal in the m-th 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 range of phase difference is determined by whether it meets the following conditions. This is used to determine whether the signal frequency is within the channel bandwidth, thereby obtaining the effective enable of frequency measurement. and according to The effective detection pulse of the channel is obtained. .

4. The method for measuring the bandwidth of cross-channel broadband signals based on channelization as described in claim 3, characterized in that: In step S3, a phase difference is set, and the signal frequency set is calculated based on the phase difference. The calculation formula is as follows: in, It is the set of signal frequencies, and , For sampling frequency, This represents the phase difference.

5. The method for measuring the bandwidth of cross-channel broadband signals based on channelization as described in claim 4, characterized in that: In step S4, the frequency measurement enable is set to cf. m CF is enabled based on frequency measurement. m Select the effective signal frequency set Fval of the m-th channel m =cf m ×F m .

6. The method for measuring the bandwidth of cross-channel broadband signals based on channelization as described in claim 5, characterized in that: In step S5, the bandwidth measurement result is BW. m BW m =max(Fval m )-min(Fval m ) .

7. The method for measuring the bandwidth of a cross-channel broadband signal based on channelization as described in claim 6, characterized in that: In step S6, if the input signals are two signals that overlap in the time domain, two state machines simultaneously perform rising edge detection on the valid detection pulses from the 16th channel to the 1st channel and from the 1st channel to the 16th channel. State machine 1 performs rising edge detection on the valid detection pulses from the 16th channel to the 1st channel, and state machine 2 performs rising edge detection on the valid detection pulses from the 1st channel to the 16th channel. For cases where multiple signals reside in the same channel group but their frequencies do not overlap, a determination is made. For the nth channel group, when a rising edge is detected on channel n+2, it indicates the presence of a signal in that channel; when a rising edge is detected on channel n+1, it indicates the presence of a signal in that channel; when a rising edge is detected on channel n, it indicates the presence of a signal in that channel. Finally, a valid channel identification matrix is ​​generated. If the signal resides in channels n and n+2, ... The effective channel matrix M1 is [0 … 101 … 0]. If the matrix result is changed to [0 … 100 … 0], the signal of the nth channel is determined to be processed by state machine 2, and the effective channel matrix M2 is [0 … 001 … 0].

8. The method for measuring the bandwidth of a cross-channel broadband signal based on channelization as described in claim 7, characterized in that: In step S6, a judgment is made regarding the situation where multiple signals are located in the same group of channels but their frequencies overlap. If the signal is located in channels n, n+1, and n+2, if... , , To maximize the frequency measurement error, the signals within channel n+2 are independent signals; if , If, then the signals within channel n are independent signals; if , Then the signals in channels n+2, n+1, and n are all independent signals; if , If the signals in channels n+2, n+1, and n are the same signal.

9. The method for measuring the bandwidth of a cross-channel broadband signal based on channelization as described 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. A bitwise AND operation is performed on M1 and M2. 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 M1. i .

10. The method for measuring the bandwidth of a cross-channel broadband signal based on channelization as described in claim 9, characterized in that: In step S7, the effective channel identifier matrix is ​​set as follows: The bandwidth of the i-th signal is obtained by summing the effective bandwidth measurements of the channel in which the signal resides. By calculating the effective channel identifier matrix The middle element is obtained Calculate the measurement bandwidth of each channel where the signal is located. get , This represents the measured bandwidth of each channel containing the signal. , Let be the starting channel of the channel containing the i-th signal. , The number of channels occupied by the i-th signal. .

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