Multi-target reconnaissance interference method and system based on signal sorting

Abstract

The invention discloses a multi-target reconnaissance interference method and system based on signal sorting, and the method comprises the steps: carrying out the reconnaissance of a plurality of threat targets in different directions or different frequency bands in a channel following mode, so as to receive a plurality of target signals; performing signal sorting processing on each target signal based on a cumulative difference histogram method to generate a sorting result; then, an interference signal is generated and sent based on the sorting result, the dynamic environment adaptability can be improved through channel cyclic switching, sorting processing is carried out on the multiple target signals through signal sorting processing so as to correct the target signals, intermodulation interference generated by the target signals in different directions or in different frequency bands due to the hardware problem is avoided, and the interference performance is improved. The method is suitable for complex battlefield conditions.

Description

Technical Field

[0001] The present invention relates to the field of radar jamming technology, and in particular to a multi-target reconnaissance jamming method and system based on signal sorting. Background Art

[0002] Multi-target reconnaissance jamming technology disrupts local communications, radar, and navigation systems by simultaneously interfering with multiple targets. It is widely used in military operations, intelligence collection, and electronic warfare.

[0003] Existing multi-target reconnaissance interference methods include intelligent algorithm application and multi-channel collaborative interference technology. Intelligent algorithm application uses AI or deep learning to quickly extract multi-target signal features and generate multi-target interference type identification for interference parameters, but it requires a large amount of training data, and the computing resource consumption far exceeds the upper limit that general jammers can bear; multi-channel collaborative interference technology is suitable for multi-band collaborative interference scenarios, that is, through time division multiplexing or parallel processing technology, independent interference is configured for multiple targets, but it needs to occupy multiple frequency bands, which is prone to spectrum resource conflicts with other communication systems, and signals in different frequency bands may cause intermodulation interference inside the device due to hardware problems, resulting in signal leakage. Summary of the Invention

[0004] The main purpose of the present invention is to provide a multi-target reconnaissance interference method based on signal sorting, which aims to solve the problems that the existing multi-target reconnaissance interference method requires a large amount of training data and the computing resource consumption far exceeds the upper limit that a general jammer can bear; independent configuration of interference for multiple targets requires the occupation of multiple frequency bands, which is prone to spectrum resource conflicts with other communication systems, and signals in different frequency bands may generate intermodulation interference inside the device due to hardware problems, resulting in signal leakage.

[0005] In order to achieve the above object, the present invention proposes a multi-target reconnaissance jamming method based on signal sorting, the multi-target reconnaissance jamming method based on signal sorting comprising: In channel tracking mode, multiple threat targets in different directions or frequency bands are detected to receive multiple target signals. performing signal sorting processing on each of the target signals based on a cumulative difference histogram method to generate a sorting result; An interference signal is generated and sent based on the sorting result.

[0006] In one embodiment, the channel cycling mode is: All channels are scanned during the frequency sweep phase; Channel switching is performed according to the number of threat targets, and the corresponding target reconnaissance phase is entered.

[0007] In one embodiment, the specific steps of performing signal sorting processing on each target signal based on the cumulative difference histogram method are: Performing correlation matching on the intra-pulse description words to generate correlation matching words; Associating and allocating the intra-pulse description words according to the priority library to generate associated matching words and inter-pulse data; Performing frequency repetition histogram statistics based on the associated matching words and inter-pulse data, and generating inter-pulse description words; Perform bus selection on the inter-pulse description word and output bus data.

[0008] In one embodiment, the associated matching words include a pulse width matching word, a radio frequency matching word, a repeated cycle complete matching word, a repeated cycle abnormal matching word, and a direction matching word.

[0009] In one embodiment, the priority library is: Completely matched cycle, frequency and pulse width; Abnormal matching of heavy cycles, frequency matching, and pulse width matching; Fully matched frequency and pulse width; Abnormal matching of heavy cycles and pulse width; Frequency matching and pulse width matching or frequency matching; Frequency matching.

[0010] In one embodiment, the intra-pulse description words include a channel frequency code, arrival time, amplitude, pulse width, carrier frequency, linear frequency modulation flag, and frequency modulation slope.

[0011] The present invention also proposes a multi-target reconnaissance and jamming system based on signal sorting, which is used to implement the above-mentioned multi-target reconnaissance and jamming method based on signal sorting. The multi-target reconnaissance and jamming system based on signal sorting includes: A signal receiving module, configured to receive a plurality of target signals; A signal sorting module, configured to perform signal sorting processing on each target signal based on a cumulative difference histogram method to generate a sorting result; An interference signal modulation module is used to generate and send an interference signal based on the sorting result.

[0012] In one embodiment, the signal sorting module includes: An association matching module, configured to perform association matching on the intra-pulse description words according to a priority library and output an association matching word; an association allocation module, configured to perform association allocation on the intra-pulse description words according to the association matching words, and output the association matching words and inter-pulse data; A frequency repetition histogram statistics module, the histogram statistics module is used to perform frequency repetition histogram statistics based on the associated matching words and inter-pulse data, and output an inter-pulse description word; A bus selection module is used to perform bus selection on the inter-pulse description word and output bus data.

[0013] The technical solution of the present invention conducts reconnaissance on multiple threat targets in different directions or different frequency bands in a channel loop mode to receive multiple target signals; and performs signal sorting processing on each of the target signals based on the cumulative difference histogram method to generate a sorting result; then, generates and sends an interference signal based on the sorting result, wherein the adaptability to dynamic environments can be improved through channel looping, and multiple target signals are sorted and processed through signal sorting processing to correct the target signal, thereby avoiding intermodulation interference caused by hardware problems among target signals in different directions or different frequency bands, so as to be suitable for complex battlefield situations. BRIEF DESCRIPTION OF THE DRAWINGS

[0014] Figure 1 Schematic diagram of the flow of the multi-target reconnaissance and jamming method based on signal sorting of the present invention; Figure 2 This is a dual-target waveform simulation diagram of the multi-target reconnaissance jamming method based on signal sorting of the present invention; Figure 3 This is a simulation diagram of the dual-target time domain waveform received by a common jammer; Figure 4 This is a channel-cutting flow chart of the multi-target reconnaissance and jamming method based on signal sorting of the present invention; Figure 5 This is a signal sorting flow chart of the multi-target reconnaissance and jamming method based on signal sorting of the present invention; Figure 6 This is a correlation matching flow chart of the multi-target reconnaissance and jamming method based on signal sorting of the present invention; Figure 7 A flow chart for generating associated matching words for the multi-target reconnaissance and jamming method based on signal sorting of the present invention; Figure 8 This is a simulation diagram of the dual-target interference effect of the multi-target reconnaissance interference method based on signal sorting of the present invention. DETAILED DESCRIPTION

[0015] To make the objectives, technical solutions, and advantages of the embodiments of the present invention more apparent, the technical solutions of the embodiments of the present invention will be described clearly and completely below in conjunction with the accompanying drawings of the embodiments of the present invention. It should be understood that the described embodiments are only a portion of the embodiments of the present invention, not all of them. Generally, the components of the embodiments of the present invention described and illustrated in the drawings herein may be arranged and designed in a variety of different configurations.

[0016] Therefore, the following detailed description of the embodiments of the present invention provided in the accompanying drawings is not intended to limit the scope of the invention as claimed, but rather merely represents selected embodiments of the present invention. All other embodiments derived by persons of ordinary skill in the art based on the embodiments of the present invention without creative effort shall fall within the scope of protection of the present invention.

[0017] It should be noted that similar reference numerals and letters denote similar items in the following drawings, and therefore, once an item is defined in one drawing, it does not need to be further defined or explained in subsequent drawings.

[0018] In the description of the present invention, it should be understood that the terms "upper", "lower", "inside", "outside", "left", "right", etc. indicate orientations or positional relationships based on the orientations or positional relationships shown in the accompanying drawings, or are the orientations or positional relationships in which the inventive product is conventionally placed when in use, or are the orientations or positional relationships conventionally understood by those skilled in the art. These are only for the convenience of describing the present invention and simplifying the description, and do not indicate or imply that the device or component referred to must have a specific orientation, be constructed and operated in a specific orientation, and therefore should not be understood as a limitation on the present invention.

[0019] Furthermore, the terms “first”, “second”, etc. are merely used for distinguishing descriptions and should not be understood as indicating or implying relative importance.

[0020] In the description of the present invention, it should also be noted that, unless otherwise expressly specified or limited, terms such as "disposed" and "connected" should be understood in a broad sense. For example, "connected" can mean a fixed connection, a detachable connection, or an integral connection; it can be a mechanical connection or an electrical connection; it can be a direct connection or an indirect connection through an intermediate medium; it can also mean internal communication between two components. Those skilled in the art will be able to understand the specific meanings of the above terms in the present invention based on specific circumstances.

[0021] Existing multi-target reconnaissance interference methods include intelligent algorithm application and multi-channel collaborative interference technology. Intelligent algorithm application uses AI or deep learning to quickly extract multi-target signal features and generate multi-target interference type identification for interference parameters, but it requires a large amount of training data, and the computing resource consumption far exceeds the upper limit that general jammers can bear; multi-channel collaborative interference technology is suitable for multi-band collaborative interference scenarios, that is, through time division multiplexing or parallel processing technology, independent interference is configured for multiple targets, but it needs to occupy multiple frequency bands, which is prone to spectrum resource conflicts with other communication systems, and signals in different frequency bands may cause intermodulation interference inside the device due to hardware problems, resulting in signal leakage.

[0022] In order to solve the above problems, the present invention proposes a multi-target reconnaissance interference method based on signal sorting. The specific implementation methods of the present invention are described in detail below with reference to the accompanying drawings.

[0023] like Figure 1-8 As shown, the multi-target reconnaissance jamming method based on signal sorting includes the following steps: In channel tracking mode, multiple threat targets in different directions or frequency bands are detected to receive multiple target signals. performing signal sorting processing on each of the target signals based on a cumulative difference histogram method to generate a sorting result; An interference signal is generated and sent based on the sorting result.

[0024] In one embodiment, the channel cycling mode is: All channels are scanned during the frequency sweep phase; Channel switching is performed according to the number of threat targets, and the corresponding target reconnaissance phase is entered.

[0025] In one embodiment, the specific steps of performing signal sorting processing on each target signal based on the cumulative difference histogram method are: Performing correlation matching on the intra-pulse description words to generate correlation matching words; Associating and allocating the intra-pulse description words according to the priority library to generate associated matching words and inter-pulse data; Performing frequency repetition histogram statistics based on the associated matching words and inter-pulse data, and generating inter-pulse description words; Perform bus selection on the inter-pulse description word and output bus data.

[0026] In one embodiment, the associated matching words include a pulse width matching word, a radio frequency matching word, a repeated cycle complete matching word, a repeated cycle abnormal matching word, and a direction matching word.

[0027] In one embodiment, the priority library is: Completely matched cycle, frequency and pulse width; Abnormal matching of heavy cycles, frequency matching, and pulse width matching; Fully matched frequency and pulse width; Abnormal matching of heavy cycles and pulse width; Frequency matching and pulse width matching or frequency matching; Frequency matching.

[0028] In one embodiment, the intra-pulse description words include a channel frequency code, arrival time, amplitude, pulse width, carrier frequency, linear frequency modulation flag, and frequency modulation slope.

[0029] In actual applications, in complex battlefield situations, there is a possibility that multiple threat targets will appear at the same time, and a single ordinary jammer does not have the ability to counter multiple threat targets; Figure 2 This is a simulation diagram of dual-target waveforms. Their pulse widths are inconsistent and partially overlap. Assuming they are in different frequency bands, the jammer can only receive signal data from one frequency band at a time. If the upper signal is the target with a higher threat level, we need to ensure that the upper signal detection window is intact, otherwise the lower signal cannot be received in the overlapping part. Figure 3 The figure shows a simulation of the dual-target time domain waveforms received by the jammer. There are a lot of pulse width deformations, delayed arrival times, and waveforms cut in the middle. Therefore, this embodiment corrects them through sorting processing and uses the channel tracking function to adapt to the multi-threat target state to improve adaptability to dynamic environments.

[0030] In this embodiment, when multiple threat targets are in the same direction and frequency band, there is no need to switch channels; when multiple threat targets are in different directions or different frequency bands, a channel switching function is required to adapt to the multiple threat target state. It is understandable that in the case of a single target, it is necessary to continue scanning in other directions and frequency bands during the time outside the single target detection window; in order to ensure the interference effect on multiple threat targets, it is necessary to ensure that the detection windows, repetition pulse widths and other information of these multiple threat targets are correct, so after scanning the second threat target, it is necessary to pause the interference and give priority to obtaining the correct repetition parameters of the second threat target; after the bus of the second threat target is successfully established, it enters the dual-target detection mode; and according to the number of multiple threat targets that the equipment needs to target, it is decided whether to continue scanning in other directions and frequency bands, and different stages such as the three-target detection mode are established. Finally, in the detection stage with the most targets, the scanning of other directions and frequency bands is canceled; and the misjudgment of the detection window caused by the overlap and other phenomena that may occur in the multi-target detection must be considered. In the case of multiple targets, after one of the signals is lost, it is necessary to stay in the frequency band for a long time to try to regain the correct detection window of the target. The channel cycle flow chart is as follows Figure 4 shown.

[0031] In this embodiment, the parameters used in signal sorting include carrier frequency (CF), pulse width (PW), pulse amplitude (AMP), pulse arrival time (TOA), and pulse repetition rate (PRI). Numerous different parameters have evolved from these parameters. In the main sorting process, PRI is selected as the final parameter for decision-making. Pulse deinterleaving using the TOA parameter is the preferred sorting algorithm. Signal sorting is performed based on the cumulative difference histogram method. Figure 5This is a signal sorting flow chart, where the intra-pulse description word PDW comes from the maximum amplitude channel and the second largest amplitude channel of the time domain detection, time-frequency correlation, and frequency domain detection results. It includes information such as channel frequency code, arrival time, amplitude, background noise, pulse width, carrier frequency, linear frequency modulation flag, and frequency modulation slope. The inter-pulse description word includes repeated cycle, step frequency flag, step frequency frequency, maximum step frequency RF value, minimum step frequency RF value, and weight. The associated matching words include pulse width matching word, RF frequency matching word, repeated cycle complete matching word, repeated cycle abnormal matching word, and direction matching word.

[0032] In this embodiment, the signal sorting process includes data association matching, association allocation, frequency recurrence histogram statistics, and bus selection, so as to correct erroneous TOA, PW, and PRI if affected. If correction is not possible, a new bus will not be established to accommodate the deformed signal characteristics of such signals to affect program operation.

[0033] Figure 6 and Figure 7 The flowcharts are generated for the association matching flow chart and the association matching word flow chart respectively. In addition, it is also necessary to consider the inevitable unmatched data, and roughly screen out such signals for subsequent processing. It is also necessary to consider the situation where a certain frequency point in the stepped frequency overlaps with another single frequency point for additional processing.

[0034] In this embodiment, the association allocation needs to classify multiple target signals, and its core is mainly whether they are of the same frequency point and whether they overlap. Since in most cases the detection window will overlap, resulting in a part of the envelope of one of the signals being cut off, the pulse width cannot be used as the most important reference standard for the association between signals; the same weight means that either there is a certain part of overlap or there is no overlap at all. In the case of no overlap at all, the weight matching of the bus of the two targets to the other signal will definitely not be successful, and in the case of a certain part of overlap, it is necessary to rely on frequency matching to separate them. Since the signals of the same frequency point, weight and overlap can be completely forwarded as one signal for interference, only such two targets in different directions will be affected, so the same weight is used as the basis for the association allocation judgment. Highest priority; in the case of the same frequency, due to the large amount of overlap between dual targets with different repetitions, even if the repetition matching keyword is not raised, the signals of the same frequency still need to be associated and matched. At the same time, if the signal is included in the bus just by frequency matching, it will be affected by very strong ground clutter, so it is also necessary to limit it, requiring the pulse width to be matched at the same time or the dual target flag to be raised at this time, and then such signals will be associated and allocated; due to the deformation of the pulse width repetition in the case of dual targets, it is easy to generate a new bus, which will also cause the channel cycle to enter the multi-target detection stage, making it impossible to emit interference, affecting the detection of other buses, so when performing association allocation, filtering should be performed to accurately identify such situations and allocate these deformed signals to the allocated bus.

[0035] To sum up, a combination sort is performed on the associated matching words, and its priority library is: 1. Complete cycle matching, frequency matching, and pulse width matching; 2. Abnormal matching of multiple cycles, frequency matching, and pulse width matching; 3. Complete frequency matching and pulse width matching; 4. Abnormal matching of multiple cycles and pulse width; 5. Frequency matches and pulse width matches or frequency matches and the dual target flag is pulled high; 6. Pulse width matching; Among them, sequence numbers 3 and 4 are for the phenomenon of the stepped frequency signal returning to the origin, and sequence number 6 is for the stepped frequency signal. When a target signal meets the match of a higher sequence number, it is preferentially assigned to the corresponding matching bus. When a signal does not fall into the above situation, a new bus is arranged to receive this signal according to the empty bus sequence number to facilitate the subsequent associated matching.

[0036] In this embodiment, the specific steps of frequency histogram statistics are as follows: caching the PDW information of the latest three signals entering the bus, performing first-order and second-order differences on their frequencies and TOAs, obtaining step frequency information and 7 first-order differences and 6 second-order differences of TOA obtained by the cache, and dividing them by the cross-cycle count to obtain more realistic Pri1od and Pri2od values; using the latest Pri1od and Pri2od values ​​and the Pri value in the bus (if any), respectively calculating the upper and lower limits within a reasonable range, matching them with the 13 cached data, and comparing the number of these 13 data that meet the three sets of upper and lower limits; if the numbers are the same, Pri1od has a priority greater than Pri2od and PriBus, and based on their satisfaction and priority, the first-order difference data or the second-order difference data is updated to enter the corresponding position of the bus. If PriBus better satisfies the cached data, the bus state is marked as a lost pulse, and the data is not updated at this moment.

[0037] In actual test situations, the classification of multi-target overlap situations includes: when the leading edge is lost, the difference between the arrival time minus the pulse width and the predicted pulse width is equal to the arrival time recorded on the bus plus the overlap, and is the same as the predicted arrival time. It can be screened out, its arrival time and pulse width can be corrected, and the bus data can be updated; when the trailing edge is lost, the phenomenon is that the pulse width becomes smaller, and the rest remain unchanged. After it is screened out, its pulse width is corrected and the bus data is updated; when the leading and trailing edges are complete and the middle is lost, only the leading edge is retained, and it is processed as if the trailing edge is lost, and the trailing edge part does not enter the bus; when multiple groups of consecutive leading edges are lost, check whether the TOA and PW changes are caused by changes in the target position, which can be judged by recording multiple corrected values ​​and true values; frequency histogram statistics must consider all the above situations for supplementation and filtering.

[0038] Figure 8 This is a simulation of the dual-target jamming effect. The lower data shows the jamming suppression of the primary target, while the upper data shows the jamming suppression of the secondary target. The two jamming signals have different frequencies, different pulse widths, and significant temporal overlap. As can be seen from the figure, the primary threat target is suppressed throughout the entire time domain, while the secondary threat target is suppressed for about half the time, without significantly reducing the power consumption.

[0039] The multi-target reconnaissance and interference method based on signal sorting of the present invention conducts reconnaissance on multiple threat targets in different directions or different frequency bands in a channel loop mode to receive multiple target signals; and performs signal sorting processing on each of the target signals based on the cumulative difference histogram method to generate a sorting result; then, generates and sends an interference signal based on the sorting result, wherein the adaptability to dynamic environments can be improved through channel looping, and multiple target signals are sorted and processed through signal sorting processing to correct the target signals, thereby avoiding intermodulation interference caused by hardware problems of target signals in different directions or different frequency bands, so as to be suitable for complex battlefield situations.

[0040] The present invention also proposes a multi-target reconnaissance interference system based on signal sorting, which is used to implement the above-mentioned multi-target reconnaissance interference method based on signal sorting; the specific steps of the multi-target reconnaissance interference method based on signal sorting refer to the above-mentioned embodiments. Since the present multi-target reconnaissance interference system based on signal sorting adopts all the technical solutions of all the above-mentioned embodiments, it has at least all the beneficial effects brought about by the technical solutions of the above-mentioned embodiments, which will not be repeated here.

[0041] In one embodiment, the multi-target reconnaissance and jamming system based on signal sorting includes: A signal receiving module, configured to receive a plurality of target signals; A signal sorting module, configured to perform signal sorting processing on each target signal based on a cumulative difference histogram method to generate a sorting result; An interference signal modulation module is used to generate and send an interference signal based on the sorting result.

[0042] In one embodiment, the signal sorting module includes: An association matching module, configured to perform association matching on the intra-pulse description words according to a priority library and output an association matching word; an association allocation module, configured to perform association allocation on the intra-pulse description words according to the association matching words, and output the association matching words and inter-pulse data; A frequency repetition histogram statistics module, the histogram statistics module is used to perform frequency repetition histogram statistics based on the associated matching words and inter-pulse data, and output an inter-pulse description word; A bus selection module is used to perform bus selection on the inter-pulse description word and output bus data.

[0043] Compared with the existing technology, the multi-target reconnaissance interference method based on signal sorting of the present invention solves the problem that ordinary jammers cannot cope with the simultaneous appearance of multiple threat targets in complex electromagnetic environments. It is not difficult to implement, has strong real-time processing capabilities, adapts to complex environments, does not rely on hardware resources, does not rely on computing resources, and does not require a lot of training.

[0044] The above is only a preferred embodiment of the present invention. It should be pointed out that for ordinary technicians in this technical field, several improvements and modifications can be made without departing from the technical principles of the present invention. These improvements and modifications should also be regarded as within the scope of protection of the present invention.

Claims

1. A multi-target reconnaissance jamming method based on signal sorting, characterized in that: The multi-target reconnaissance interference method based on signal sorting comprises the following steps: In channel tracking mode, multiple threat targets in different directions or frequency bands are detected to receive multiple target signals. performing signal sorting processing on each of the target signals based on a cumulative difference histogram method to generate a sorting result; An interference signal is generated and sent based on the sorting result.

2. The multi-target reconnaissance jamming method based on signal sorting according to claim 1 is characterized in that: The channel cycling mode is: All channels are scanned during the frequency sweep phase; Channel switching is performed according to the number of threat targets, and the corresponding target reconnaissance phase is entered.

3. The multi-target reconnaissance jamming method based on signal sorting according to claim 1 is characterized in that: The specific steps of performing signal sorting processing on each target signal based on the cumulative difference histogram method are: Performing correlation matching on the intra-pulse description words to generate correlation matching words; Associating and allocating the intra-pulse description words according to the associated matching words in the priority library to generate associated matching words and inter-pulse data; Performing frequency repetition histogram statistics based on the associated matching words and inter-pulse data, and generating inter-pulse description words; Perform bus selection on the inter-pulse description word and output bus data.

4. The multi-target reconnaissance jamming method based on signal sorting according to claim 3 is characterized in that: The associated matching words include pulse width matching words, radio frequency matching words, repeated cycle complete matching words, repeated cycle abnormal matching words and direction matching words.

5. The multi-target reconnaissance jamming method based on signal sorting according to claim 3 is characterized in that: The priority library is: Completely matched cycle, frequency and pulse width; Abnormal matching of heavy cycles, frequency matching, and pulse width matching; Fully matched frequency and pulse width; Abnormal matching of heavy cycles and pulse width; Frequency matching and pulse width matching or frequency matching; Frequency matching.

6. The multi-target reconnaissance jamming method based on signal sorting according to claim 3 is characterized in that: The intra-pulse description words include channel frequency code, arrival time, amplitude, pulse width, carrier frequency, linear frequency modulation mark and frequency modulation slope.

7. A multi-target reconnaissance jamming system based on signal sorting, characterized in that: The multi-target reconnaissance and jamming system based on signal sorting is used to implement the multi-target reconnaissance and jamming method based on signal sorting according to any one of claims 1 to 6, and the multi-target reconnaissance and jamming system based on signal sorting includes: A signal receiving module, configured to receive a plurality of target signals; A signal sorting module, configured to perform signal sorting processing on each target signal based on a cumulative difference histogram method to generate a sorting result; An interference signal modulation module is used to generate and send an interference signal based on the sorting result.

8. The multi-target reconnaissance jamming system based on signal sorting according to claim 7 is characterized in that: The signal sorting module includes: An association matching module, configured to perform association matching on the intra-pulse description words according to a priority library and output an association matching word; an association allocation module, configured to perform association allocation on the intra-pulse description words according to the association matching words, and output the association matching words and inter-pulse data; A frequency repetition histogram statistics module, the histogram statistics module is used to perform frequency repetition histogram statistics based on the associated matching words and inter-pulse data, and output an inter-pulse description word; A bus selection module is used to perform bus selection on the inter-pulse description word and output bus data.

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