Unmanned aerial vehicle group wide area suppression method and system based on multi-band frequency hopping interference

Abstract

The invention provides an unmanned aerial vehicle group wide area suppression method and system based on multi-band frequency hopping interference. The method comprises the following steps: analyzing a frequency hopping rule and an encryption feature of a communication link of a target unmanned aerial vehicle group, and constructing a protocol feature library containing a multi-band frequency hopping sequence; deploying a directional focusing antenna array, and generating a directional interference energy signal covering a multi-band frequency hopping channel of the hotspot area of the unmanned aerial vehicle group; based on the encryption features and the frequency hopping sequence in the protocol feature library, performing parameter setting and subcarrier modulation adaptation on a preset interference signal, generating an adjustable interference signal, and converting the adjustable interference signal into an interference injection signal; extracting a time distribution rule of the frequency hopping sequence, dynamically and cooperatively adjusting an injection frequency band of interference energy and a signal, and generating a frequency band coordination strategy; and performing multi-band dynamic distribution on the interference energy and the signal to generate a wide-area suppression signal. According to the technical scheme provided by the invention, the blocking efficiency of unmanned aerial vehicle group cooperative control in a complex electromagnetic environment is improved.

Description

Technical Field

[0001] This application relates to the field of wireless communication countermeasure technologies, and particularly to a method and system for wide-area suppression of unmanned aerial vehicle (UAV) swarms based on multi-band frequency hopping interference. Background Art

[0002] In a complex electromagnetic countermeasure environment, UAV swarms widely adopt multi-band frequency hopping communication technologies to avoid traditional interference means, and their communication links usually have the capabilities of fast frequency band switching, encryption modulation, and dynamic timing adjustment.

[0003] The current mainstream targeted solution is the blocking interference technology based on a fixed bandwidth. This solution suppresses the entire frequency band of the UAV communication link by transmitting a broadband noise signal covering the target frequency hopping bandwidth.

[0004] The defects of the existing solutions are as follows: low power efficiency; a large amount of power needs to be allocated to inactive frequency bands in fixed-bandwidth interference, resulting in insufficient power spectral density in the effective frequency band and making it difficult to cope with systems with a large frequency hopping bandwidth; lack of dynamic adaptation ability; inability to dynamically adjust the interference frequency band according to the timing law of the frequency hopping sequence, resulting in waste of interference resources and a significant decrease in the suppression success rate for fast frequency hopping; compatibility limitations; inability to adapt to the modulation characteristics (such as sub-carrier parameters) of encrypted communication, resulting in mismatch between the interference signal and the target communication link and reducing the suppression efficiency. Summary of the Invention

[0005] Embodiments of this application provide a method and system for wide-area suppression of UAV swarms based on multi-band frequency hopping interference, aiming to solve the problem of low blocking efficiency in the collaborative control of UAV swarms in a complex electromagnetic environment in the prior art.

[0006] In a first aspect, embodiments of this application provide a method for wide-area suppression of UAV swarms based on multi-band frequency hopping interference, including: Analyze the frequency hopping rule and encryption feature of the communication link of the target UAV swarm to obtain an analysis result, and construct a protocol feature library containing multi-band frequency hopping sequences based on the analysis result; Deploy a directional focusing antenna array, and use the multi-band frequency hopping sequences in the protocol feature library to adjust the emission direction and energy intensity of the directional focusing antenna array in real time, and generate a directional interference energy signal for the multi-band frequency hopping communication channel that centrally suppresses the active hot spots of the UAV swarm under wide-area coverage; Based on the encryption features and multi-band frequency hopping sequences in the protocol feature library, perform parameter setting processing on a preset interference signal to generate an adjustable interference signal, and synchronously adapt the adjustable interference signal to the specific sub-carrier modulation method of the target UAV swarm to generate an interference injection signal; Extract the time distribution law of the multi-band hopping sequence, and perform dynamic cooperative adjustment processing on the injection frequency bands of the directional interference energy signal and the adjustable interference signal based on the time distribution law to generate a frequency band coordination strategy; According to the frequency band priority and time window in the frequency band coordination strategy, perform dynamic allocation processing on the frequency band allocation of the directional interference energy signal and the interference injection signal in the multi-band hopping communication channel to generate a wide-area suppression signal for the UAV swarm control link.

[0007] Optionally, extracting the time distribution law of the multi-band hopping sequence, and performing dynamic cooperative adjustment processing on the injection frequency bands of the directional interference energy signal and the adjustable interference signal based on the time distribution law to generate a frequency band coordination strategy includes: Analyze the switching time interval and continuous occupancy duration between different frequency bands in the multi-band hopping sequence to obtain a time analysis result, and determine the active law of each frequency band in the time dimension based on the time analysis result; Divide the interference period of the multi-band hopping communication channel into multiple consecutive time periods according to the active law, and mark the corresponding active frequency band set for each time period; Based on the encryption features and multi-band hopping sequence in the protocol feature library, determine the waveform type, frequency offset, and symbol rate of the preset interference signal, generate modulation parameters compatible with the specific subcarrier modulation method in the communication link of the target UAV swarm, and load the modulation parameters into the preset interference signal to generate an adjustable interference signal; Based on the active frequency band set, perform frequency band binding processing on the energy intensity of the directional interference energy signal and the adjustable interference signal to generate an interference resource allocation scheme corresponding to the active frequency band in each time period; According to the interference resource allocation scheme, perform synchronous update processing on the emission direction of the directional focusing antenna array and the frequency range of the adjustable interference signal to generate a dynamic interference instruction covering the active frequency band in the current time period; Combine the dynamic interference instructions in chronological order to generate a frequency band coordination strategy.

[0008] Optionally, based on the active frequency band set, performing frequency band binding processing on the energy intensity of the directional interference energy signal and the adjustable interference signal to generate an interference resource allocation scheme corresponding to the active frequency band in each time period includes: Analyze the communication signal strength and modulation characteristics of each active frequency band in the active frequency band set to obtain a frequency band analysis result, and determine the interference demand parameters corresponding to each active frequency band based on the frequency band analysis result; According to the interference requirement parameters, perform sub - band proportional allocation processing on the energy intensity of the directional interference energy signal to generate an energy suppression ratio matching each active band; Based on the encryption features and multi - band hopping sequences in the protocol feature library, determine the frequency offset parameter and symbol rate parameter of the adjustable interference signal, perform band matching processing on the frequency offset parameter and symbol rate parameter to generate signal interference parameters corresponding to each active band; Perform priority sorting processing on the energy suppression ratio and signal interference parameters according to the active bands to obtain a hierarchical energy allocation ratio; And monitor the signal change characteristics of the multi - band hopping communication channel in real time, and perform dynamic weight correction processing on the hierarchical energy allocation ratio and signal interference parameters according to the signal change characteristics to generate an interference resource allocation scheme.

[0009] Optionally, based on the encryption features and multi - band hopping sequences in the protocol feature library, determine the frequency offset parameter and symbol rate parameter of the adjustable interference signal, perform band matching processing on the frequency offset parameter and symbol rate parameter to generate signal interference parameters corresponding to each active band, including: Analyze the switching order and interval duration of adjacent bands in the multi - band hopping sequence to determine the predicted range of the next - hop band for each active band, and generate a frequency offset parameter covering the predicted range; Analyze the transmission rate identifier associated with the encryption algorithm in the encryption feature to obtain the transmission rate range of the target UAV group communication link; According to the transmission rate range and the preset rate offset rule, determine the transmission rate fluctuation interval of the adjustable interference signal; Based on the transmission rate fluctuation interval, generate a symbol rate parameter matching the transmission rate change law of the target UAV group communication link; Associate the frequency offset parameter and symbol rate parameter according to the modulation characteristics of the active bands to generate a frequency coverage range and signal transmission rate combination parameter corresponding to each active band; Based on the frequency coverage range and signal transmission rate combination parameter, perform band binding processing on the waveform parameters of the adjustable interference signal to generate signal interference parameters matching each active band.

[0010] Optionally, based on the encryption features and multi - band hopping sequences in the protocol feature library, perform parameter setting processing on a preset interference signal to generate an adjustable interference signal, and synchronously adapt the adjustable interference signal to the specific sub - carrier modulation method of the target UAV group to generate an interference injection signal, including: Analyze the encryption features in the protocol feature library to determine the waveform parameters and symbol rate parameters for modulating signals in the communication link of the target UAV swarm; Analyze the multi-band hopping sequence in the protocol feature library to obtain a sequence analysis result. Based on the sequence analysis result, extract the switching time interval and frequency offset range between adjacent frequency bands, and generate the frequency offset parameter of the adjustable interference signal; Load the waveform parameters, symbol rate parameters, and frequency offset parameters into the generation rule of the preset interference signal to generate an adjustable interference signal compatible with the subcarrier modulation method of the target UAV swarm; Real-time monitor the active frequency band identifier of the target UAV swarm, match the corresponding frequency offset parameter according to the active frequency band identifier, and perform dynamic adjustment processing on the symbol rate parameter to generate an interference injection signal that is synchronized in real time with the target subcarrier modulation method.

[0011] Optionally, real-time monitor the active frequency band identifier of the target UAV swarm, match the corresponding frequency offset parameter according to the active frequency band identifier, and perform dynamic adjustment processing on the symbol rate parameter to generate an interference injection signal that is synchronized in real time with the target subcarrier modulation method, including: Scan the communication signal frequency band range of the target UAV swarm, detect the signal energy peak of each frequency band, and obtain the active frequency band identifier; According to the active frequency band identifier, find the initial values of the corresponding frequency offset parameter and symbol rate parameter in the protocol feature library; Based on the signal energy peak change rate of the active frequency band identifier, perform dynamic scaling processing on the initial value of the symbol rate parameter to generate a real-time adaptive symbol rate parameter that is synchronized and updated with the target subcarrier modulation method; Load the frequency offset parameter and the real-time adaptive symbol rate parameter into the generation rule of the adjustable interference signal to generate an interference injection signal covering the current active frequency band.

[0012] Optionally, perform priority sorting processing on the energy suppression ratio and signal interference parameters according to the active frequency band to obtain a hierarchical energy allocation ratio, including: Analyze the communication signal strength and historical switching frequency of each active frequency band in the active frequency band set to obtain a frequency analysis result. Based on the frequency analysis result, determine the interference priority level of each active frequency band; According to the interference priority level, perform level division processing on the energy suppression ratio to generate high, medium, and low three-level energy allocation ratios corresponding to each active frequency band; Based on the frequency offset parameter and transmission rate parameter in the signal interference parameter, perform level adaptation processing on the signal interference parameter of each active frequency band to generate an interference signal parameter set that matches the interference priority level; Perform a corresponding binding process on the three - level energy distribution ratio and the interference signal parameter set according to the active frequency band to generate the hierarchical energy distribution ratio.

[0013] In a second aspect, an embodiment of the present application provides a wide - area suppression system for an unmanned aerial vehicle (UAV) swarm based on multi - band frequency - hopping interference, including: A protocol feature analysis module, configured to analyze the frequency - hopping rule and encryption feature of the communication link of the target UAV swarm to obtain an analysis result, and construct a protocol feature library containing a multi - band frequency - hopping sequence based on the analysis result; An interference energy regulation module, configured to deploy a directional focusing antenna array, and use the multi - band frequency - hopping sequence in the protocol feature library to adjust the transmission direction and energy intensity of the directional focusing antenna array in real time, and generate a directional interference energy signal for the multi - band frequency - hopping communication channel that centrally suppresses the active hot - spot area of the UAV swarm under wide - area coverage; A signal parameter adaptation module, configured to perform parameter setting processing on a preset interference signal based on the encryption feature and multi - band frequency - hopping sequence in the protocol feature library to generate an adjustable interference signal, and synchronously adapt the adjustable interference signal to the specific sub - carrier modulation method of the target UAV swarm to generate an interference injection signal; A frequency - band coordination decision module, configured to extract the time - distribution law of the multi - band frequency - hopping sequence, and perform dynamic collaborative adjustment processing on the injection frequency bands of the directional interference energy signal and the adjustable interference signal based on the time - distribution law to generate a frequency - band coordination strategy; A dynamic suppression execution module, configured to perform dynamic allocation processing on the frequency - band allocation of the directional interference energy signal and the interference injection signal in the multi - band frequency - hopping communication channel according to the frequency - band priority and time window in the frequency - band coordination strategy, and generate a wide - area suppression signal for the control link of the UAV swarm.

[0014] In a third aspect, an embodiment of the present application provides a computing device, including a processing component and a storage component; the storage component stores one or more computer instructions; the one or more computer instructions are used to be called and executed by the processing component to implement the method for wide - area suppression of an unmanned aerial vehicle swarm based on multi - band frequency - hopping interference as described in the first aspect above.

[0015] In a fourth aspect, an embodiment of the present application provides a computer storage medium storing a computer program, and when the computer program is executed by a computer, it implements the method for wide - area suppression of an unmanned aerial vehicle swarm based on multi - band frequency - hopping interference as described in the first aspect.

[0016] In the embodiments of the present application, the hopping rules and encryption features of the communication links of the target UAV group are analyzed to obtain an analysis result, and a protocol feature library including multi-band hopping sequences is constructed based on the analysis result; a directional focusing antenna array is deployed, and the transmission direction and energy intensity of the directional focusing antenna array are adjusted in real time by using the multi-band hopping sequences in the protocol feature library to generate a directional interference energy signal for the multi-band hopping communication channel that centrally suppresses the hot spot area of the UAV group's activities under wide-area coverage; based on the encryption features and multi-band hopping sequences in the protocol feature library, parameter setting processing is performed on a preset interference signal to generate an adjustable interference signal, and the adjustable interference signal is synchronously adapted to the specific sub-carrier modulation method of the target UAV group to generate an interference injection signal; the time distribution law of the multi-band hopping sequences is extracted, and based on the time distribution law, dynamic cooperative adjustment processing is performed on the injection frequency bands of the directional interference energy signal and the adjustable interference signal to generate a frequency band coordination strategy; according to the frequency band priorities and time windows in the frequency band coordination strategy, dynamic allocation processing is performed on the frequency band allocation of the directional interference energy signal and the interference injection signal in the multi-band hopping communication channel to generate a wide-area suppression signal for the UAV group's control link.

[0017] The technical solution of the present application has the following beneficial effects: By analyzing the hopping rules and encryption features, multi-band hopping sequences and modulation parameters are extracted, providing a data basis for interference signal generation and resource allocation, and supporting dynamic adaptation of hopping behaviors. Based on the hopping sequences, the antenna direction and energy intensity are dynamically adjusted to achieve centralized suppression of the multi-band communication channels in the hot spot area by interference energy in a wide area, improving power utilization efficiency. By matching the target sub-carrier modulation method (such as QPSK / OFDM), an interference signal compatible with the legal signal waveform is generated to disrupt the communication synchronization mechanism and reduce the signal resolvability. Based on the hopping timing law, the injection frequency bands of the energy and the signal are dynamically coordinated to avoid waste of interference resources during inactive periods and achieve timing alignment of multi-band interference actions. The interference resources are dynamically allocated according to the frequency band priorities and time windows to ensure that the suppression signal remains effective during the active periods of the multi-band hopping channel and block the cooperative control link of the UAV group.

[0018] Further, the method for generating the frequency band coordination strategy includes: analyzing the switching time interval and continuous occupancy duration of the hopping sequences to determine the active rules of each frequency band; dividing the interference time period and marking the set of active frequency bands; generating the modulation parameters of the adjustable interference signal based on the encryption features and the hopping sequences; binding the energy intensity and the signal parameters to generate an interference resource allocation plan; generating a dynamic interference instruction and combining it according to time to form a coordination strategy.

[0019] Through timing analysis and dynamic parameter binding, the two-dimensional adaptation of interference energy and signals in terms of frequency band and time is achieved, solving the problems of rigid resource allocation and incomplete coverage in traditional solutions, and improving the accuracy and timeliness of multi-band frequency hopping communication suppression.

[0020] These aspects or other aspects of the present application will be more clearly understood in the following description of the embodiments. BRIEF DESCRIPTION OF THE DRAWINGS

[0021] In order to more clearly illustrate the technical solutions in the embodiments of the present application or the prior art, the following will briefly introduce the drawings required for the description of the embodiments or the prior art. Obviously, the drawings in the following description are some embodiments of the present application. For those of ordinary skill in the art, without creative efforts, other drawings can be obtained based on these drawings.

[0022] Figure 1 Shows a flowchart of the method for wide-area suppression of an unmanned aerial vehicle (UAV) swarm based on multi-band frequency hopping interference provided by the present application; Figure 2 Shows a schematic structural diagram of the system for wide-area suppression of an unmanned aerial vehicle (UAV) swarm based on multi-band frequency hopping interference provided by the present application; Figure 3 Shows a schematic structural diagram of a computing device provided by the present application. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0023] In order to enable those skilled in the art to better understand the solutions of the present application, the following will clearly and completely describe the technical solutions in the embodiments of the present application in conjunction with the drawings in the embodiments of the present application.

[0024] In some processes described in the specification, claims and the above-mentioned drawings of the present application, a plurality of operations appear in a specific order. However, it should be clearly understood that these operations may not be executed in the order in which they appear herein or may be executed in parallel. The serial numbers of the operations, such as 101, 102, etc., are only used to distinguish different operations, and the serial numbers themselves do not represent any execution order. In addition, these processes may include more or fewer operations, and these operations may be executed in sequence or in parallel. It should be noted that the descriptions such as "first" and "second" in this article are used to distinguish different messages, devices, modules, etc., and do not represent a sequence, nor do they limit that "first" and "second" are of different types.

[0025] Researchers have found that existing interference technologies have significant deficiencies in dealing with drone swarms using encrypted frequency-hopping communication: the fixed-bandwidth interference mode cannot dynamically adapt to fast frequency-hopping sequences, resulting in energy dispersion; the lack of compatibility with encrypted modulation characteristics causes interference signal mismatch; and the wide-area coverage ability is insufficient to synchronously suppress multi-band cooperative communication. Based on this, a wide-area suppression method for drone swarms based on multi-band frequency-hopping interference is provided. This method can accurately block encrypted frequency-hopping communication links through frequency-hopping pattern analysis, dynamic binding of interference resources, and timing collaborative control.

[0026] The technical solution of this application is applicable to the suppression scenarios of drone swarms using encrypted frequency-hopping communication such as AES / QPSK, and is particularly applicable to security fields such as border patrol and protection of important facilities that need to counter high-dynamic multi-band drone formations.

[0027] Next, the technical solutions in the embodiments of this application will be clearly and completely described in conjunction with the accompanying drawings in the embodiments of this application. Obviously, the described embodiments are only a part of the embodiments of this application, rather than all the embodiments. Based on the embodiments in this application, all other embodiments obtained by those skilled in the art without creative efforts fall within the protection scope of this application.

[0028] Figure 1 The following is a flowchart of a wide-area suppression method for drone swarms based on multi-band frequency-hopping interference provided by the embodiments of this application, as Figure 1 shown, the method includes: 101. Analyze the frequency-hopping rules and encryption characteristics of the communication link of the target drone swarm to obtain an analysis result, and construct a protocol feature library containing multi-band frequency-hopping sequences based on the analysis result; In this step, the frequency-hopping rule refers to the order, time interval, and duration of switching between different frequency bands during the communication of the drone swarm. For example, the frequency bands F1→F3→F5 are switched every 100 ms, and each switch lasts for 50 ms.

[0029] The encryption characteristic refers to the algorithm identifier (such as AES-256), key length (such as 128 bits), and modulation constraint conditions (such as the symbol rate of 1 Mbps for QPSK modulation) used for data encryption in the communication link.

[0030] The protocol feature library refers to a structured database that stores frequency-hopping rules and encryption characteristics and is used to guide the generation of interference signals and frequency band allocation.

[0031] In the embodiments of the present application, first, by intercepting the communication data packets of the target UAV swarm, the frequency band numbers, handover timestamps in its frequency hopping handover records, and the encryption identification fields in the protocol headers are extracted; second, the frequency band handover sequence (such as F1→F3→F5) and the interval duration (such as 100 ms) of the frequency hopping handover records are statistically analyzed to construct a frequency hopping sequence model; then, the encryption identification fields are parsed to identify the encryption algorithm type (such as AES-256) and the associated modulation parameters (such as the symbol rate of 1 Mbps for QPSK modulation); finally, the frequency hopping sequence model and the encryption features are integrated into a protocol feature library for subsequent steps to call.

[0032] In a practical case, during border patrol, the system intercepts the communication data of the UAV swarm, parses out the frequency hopping sequence F1→F3→F5 (interval 80 ms) and the AES-128 encryption features, and constructs a protocol feature library. This library is subsequently used to guide the generation of interference signals and frequency band allocation.

[0033] 102. Deploy a directional focusing antenna array, and utilize the multi-band frequency hopping sequences in the protocol feature library to adjust the transmission direction and energy intensity of the directional focusing antenna array in real time, generating a directional interference energy signal for the multi-band frequency hopping communication channel that centrally suppresses the hot spot area of the UAV swarm's activities under wide-area coverage; In this step, the directional focusing antenna array refers to an array composed of multiple antenna units, which concentrates energy to a specific direction by adjusting the transmission phase.

[0034] The energy intensity refers to the electromagnetic wave power density emitted by the antenna array, with the unit of W / m².

[0035] In the embodiments of the present application, first, deploy a directional focusing antenna array in the suppression area, and initialize the transmission direction (such as 0° azimuth) and energy intensity (such as 10 W); second, read the frequency hopping sequence (such as F1→F3→F5) from the protocol feature library, and predict the active frequency band (such as F3) according to the current timestamp; then, calculate the target azimuth angle (such as 30°) corresponding to the active frequency band F3, adjust the phase of the antenna array to turn the beam to 30°, and increase the energy intensity to 15 W; finally, generate a directional interference energy signal covering the F3 frequency band to suppress the communication in this frequency band.

[0036] Continuing the above case, when the UAV swarm uses the F3 frequency band to communicate in the coordinate X,Y area, the system predicts that F3 is the current active frequency band according to the protocol feature library, controls the antenna array to turn to 30° and enhances the energy to 15 W, continuously suppressing the communication in this area.

[0037] 103. Based on the encryption features and multi-band hopping sequences in the protocol feature library, perform parameter setting processing on a preset interference signal to generate an adjustable interference signal, and synchronously adapt the adjustable interference signal to the specific subcarrier modulation method of the target UAV group to generate an interference injection signal; In this step, the adjustable interference signal refers to a preset reference signal (such as white noise), and the parameters are loaded to adapt to the target communication characteristics.

[0038] The interference injection signal refers to the interference signal after parameter adjustment, which is used to disrupt the target communication synchronization mechanism.

[0039] In the embodiment of the present application, first, extract the encryption features (such as the symbol rate of 1 Mbps for QPSK modulation) and the hopping sequence (such as F1→F3→F5) from the protocol feature library; secondly, generate a frequency offset parameter covering ±20 MHz according to the difference between adjacent frequency bands in the hopping sequence (such as F3 - F1 = 20 MHz); then, load the frequency offset parameter and the symbol rate parameter (1 Mbps) into the preset interference signal to generate an adjustable interference signal; finally, adjust the waveform of the adjustable interference signal (such as the QPSK modulation pulse) to match the waveform of the target communication signal to generate an interference injection signal.

[0040] Continuing the above case, for the QPSK modulation communication of the target UAV group, the system generates an interference signal with a frequency offset of ±20 MHz and a symbol rate of 1 Mbps, disguises it as a legitimate signal and injects it into the F3 frequency band, resulting in synchronization disorder at the target receiving end.

[0041] 104. Extract the time distribution law of the multi-band hopping sequence, and perform dynamic cooperative adjustment processing on the injection frequency bands of the directional interference energy signal and the adjustable interference signal based on the time distribution law to generate a frequency band coordination strategy; In this step, the time distribution law refers to the active period distribution of each frequency band in the hopping sequence. For example, F3 is activated from 0 to 50 ms in each 100 ms cycle.

[0042] The frequency band coordination strategy refers to an instruction set that defines the frequency band allocation priority and time window of the interference energy and signals.

[0043] In the embodiments of the present application, first, the time distribution of the frequency hopping sequences in the protocol feature library is statistically analyzed (for example, F3 is activated every 100 ms and lasts for 50 ms); second, the suppression period is divided into multiple time periods (for example, every 100 ms is a period), and the active frequency bands within each time period are marked (for example, 0 - 50 ms is F3, and 50 - 100 ms is F5); then, high - energy suppression (15 W) and wide - frequency - offset interference signals (±20 MHz) are allocated to the F3 time period, and medium energy (10 W) and narrow - frequency - offset (±10 MHz) are allocated to the F5 time period; finally, a frequency - band coordination strategy table is output, defining the interference parameters for each time period.

[0044] Continuing with the above case, when the target UAV swarm switches to the F5 frequency band, the system reduces the antenna energy to 10 W within the 50 - 100 ms time period according to the strategy table, adjusts the frequency offset of the interference signal to ±10 MHz, and continuously suppresses the F5 communication.

[0045] 105. According to the frequency - band priority and time window in the frequency - band coordination strategy, perform dynamic allocation processing on the allocation of the directional interference energy signal and the interference injection signal in the multi - band frequency - hopping communication channel, and generate a wide - area suppression signal for the UAV swarm control link.

[0046] In this step, the frequency - band priority refers to the interference resource allocation level divided according to the importance of the active frequency band (for example, F3 is of high priority).

[0047] The time window refers to the start and end times when the interference action is executed (for example, suppressing F3 from 0 - 50 ms and suppressing F5 from 50 - 100 ms).

[0048] In the embodiments of the present application, first, the priority (such as F3 with high priority) and time window (such as 0 - 50 ms) in the frequency - band coordination strategy are read; second, within the high - priority time period (0 - 50 ms), 70% of the interference energy is allocated to the F3 frequency band, and matching interference signals are synchronously injected; then, in the 50 - 100 ms time period, the frequency band is switched to F5, and the remaining 30% of the energy and narrow - frequency - offset interference signals are allocated; finally, a wide - area suppression signal covering multiple frequency bands is generated to continuously interfere with the target control link.

[0049] Continuing with the above case, within the 9:00 - 9:05 suppression period, the system suppresses the F3 frequency band from 0 - 50 ms and the F5 frequency band from 50 - 100 ms according to the strategy table, completely blocking the communication link between the UAV swarm and the control station throughout the process.

[0050] In summary, steps 101 to 105 construct a feature library through protocol reverse analysis, dynamically regulate the interference energy and signal parameters, and combine the timing coordination strategy to achieve precise suppression of multi-band frequency hopping communication. The directional energy covers a wide-area hot spot area, and the interference signal adapts to the target modulation method. The two are dynamically allocated according to the frequency hopping rule, significantly reducing the communication stability of the UAV swarm and effectively blocking its cooperative control ability.

[0051] To solve the dynamic adaptation problem of UAV swarm communication suppression in a multi-band frequency hopping interference scenario, in some embodiments, in step 104, the time distribution law of the multi-band frequency hopping sequence is extracted, and based on the time distribution law, dynamic cooperative adjustment processing is performed on the injection frequency bands of the directional interference energy signal and the adjustable interference signal to generate a frequency band coordination strategy, including: 201. Analyze the switching time interval and continuous occupancy duration between different frequency bands in the multi-band frequency hopping sequence to obtain a time analysis result, and determine the active law of each frequency band in the time dimension based on the time analysis result; In step 201, the switching time interval refers to the time interval required for the target UAV swarm to switch from one frequency band to the next (for example, it takes 10 ms to switch from frequency band F1 to F3).

[0052] The continuous occupancy duration refers to the continuous communication duration of the target UAV swarm on a single frequency band (for example, frequency band F3 is occupied for 50 ms each time).

[0053] The active law refers to the frequency band activation period, frequency, and time period distribution characteristics statistically obtained based on the switching time interval and continuous occupancy duration (for example, F3 is activated once every 100 ms and lasts for 50 ms each time).

[0054] In the embodiments of the present application, first, a multi-band frequency hopping sequence is extracted from the protocol feature library, and the switching timestamp of each frequency band is recorded (for example, F1 is activated at 0 ms, and F3 is activated at 10 ms); secondly, the time interval of adjacent frequency band switching (for example, the interval between F1→F3 is 10 ms) and the continuous occupancy duration of each frequency band (for example, F3 is occupied for 50 ms) are calculated; then, the activation period (for example, F3 appears once every 100 ms) and frequency weight (for example, F3 accounts for 50% of the total communication time) of each frequency band on the time axis are statistically calculated; finally, a frequency band active law table is generated to clearly mark the activation time window (for example, F3 is activated in time periods such as 0-50 ms, 100-150 ms, etc.) and priority level of each frequency band.

[0055] 202. Divide the interference time period of the multi-band frequency hopping communication channel into multiple consecutive time periods according to the active law, and mark the corresponding active frequency band set for each time period; In step 202, the interference period refers to dividing the suppression period into multiple consecutive time periods according to the activity pattern (for example, each 100 ms is a time period).

[0056] The active frequency band set refers to the list of frequency bands that need to be suppressed within each interference period (for example, the time period 0 - 50 ms corresponds to frequency band F3, and 50 - 100 ms corresponds to frequency band F5).

[0057] In the embodiment of the present application, first, based on the frequency band activity pattern table generated in step 201 (for example, F3 is activated every 100 ms), determine the maximum hopping period (100 ms); second, divide the suppression period into multiple consecutive time periods according to this period (for example, 0 - 50 ms, 50 - 100 ms); then, mark the currently active frequency band within each time period (for example, 0 - 50 ms is F3, 50 - 100 ms is F5); finally, generate a mapping relationship table between the interference period and the active frequency band to clarify the target frequency bands to be suppressed in each period.

[0058] 203. Based on the encryption features and multi - band hopping sequence in the protocol feature library, determine the waveform type, frequency offset, and symbol rate of the preset interference signal, generate modulation parameters compatible with the specific sub - carrier modulation method in the communication link of the target UAV group, and load the modulation parameters into the preset interference signal to generate an adjustable interference signal; In step 203, the waveform type refers to the waveform form of the interference signal (for example, continuous wave, pulse wave).

[0059] The frequency offset refers to the frequency offset range of the interference signal relative to the target frequency band (for example, ±20 MHz).

[0060] The symbol rate refers to the number of symbols transmitted per second by the interference signal (for example, 1 M symbols / second).

[0061] The modulation parameters refer to the set of interference signal parameters compatible with the sub - carrier modulation method of the target communication link (for example, QPSK).

[0062] In the embodiment of the present application, first, extract the encryption features (for example, the encryption algorithm identifier AES - 128) and the hopping sequence (for example, F1 → F3 → F5) from the protocol feature library; second, infer the modulation constraint conditions of the target communication link according to the encryption features (for example, AES - 128 encryption is associated with QPSK modulation, and the symbol rate is 1 Mbps); then, based on the difference between adjacent frequency bands in the hopping sequence (for example, F3 - F1 = 20 MHz), calculate the frequency offset covering the target hopping range (for example, ±20 MHz); finally, load the waveform type (for example, pulse wave), frequency offset (±20 MHz), and symbol rate (1 Mbps) into the preset interference signal (for example, white noise) to generate an adjustable interference signal.

[0063] 204. Based on the set of active frequency bands, perform frequency band binding processing on the energy intensity of the directional interference energy signal and the adjustable interference signal to generate an interference resource allocation scheme corresponding to the active frequency bands in each time period; In step 204, the interference resource allocation scheme refers to a mapping table of the energy suppression ratio and signal interference parameters allocated to the active frequency bands in each time period (for example, 70% energy is allocated in the F3 period, with a frequency offset of ±20 MHz).

[0064] In the embodiment of the present application, first, based on the set of active frequency bands generated in step 202 (for example, F3 corresponds to 0 - 50 ms), extract the communication signal strength (for example, high signal strength) and modulation characteristics (for example, QPSK) of this frequency band; second, determine the energy suppression ratio according to the signal strength (for example, 70% energy is allocated to F3), and match the signal interference parameters according to the modulation characteristics (for example, frequency offset of ±20 MHz, symbol rate of 1 Mbps); then, bind the energy suppression ratio and the signal interference parameters by frequency band (for example, bind 70% energy and ±20 MHz offset to F3); finally, generate an interference resource allocation scheme table to clarify the interference parameter combinations of the frequency bands in each time period.

[0065] 205. According to the interference resource allocation scheme, perform synchronous update processing on the transmission direction of the directional focusing antenna array and the frequency range of the adjustable interference signal to generate a dynamic interference command covering the active frequency bands in the current time period; In step 205, the dynamic interference command refers to an operation instruction set for controlling the directional focusing antenna array and the interference signal generator (for example, adjust the antenna direction to 30°, and set the interference signal frequency to F3 ± 20 MHz).

[0066] In the embodiment of the present application, first, analyze the interference resource allocation scheme generated in step 204 (for example, 70% energy and ±20 MHz offset are allocated in the F3 period); second, according to the spatial position (for example, azimuth angle of 30°) of the active frequency band F3, adjust the transmission direction of the directional focusing antenna array to 30°, and increase the energy intensity to a preset value (for example, 15 W); then, configure the frequency range (for example, F3 ± 20 MHz) and symbol rate (for example, 1 Mbps) of the adjustable interference signal; finally, generate a dynamic interference command, including real-time control commands for the antenna direction, energy intensity, and signal parameters.

[0067] 206. Combine the dynamic interference commands in chronological order to generate a frequency band coordination strategy.

[0068] In step 206, the frequency band coordination strategy refers to a set of dynamic interference instructions arranged in chronological order, which is used to guide the continuous suppression of multi-band frequency hopping communication channels (for example, execute instruction A from time period 0 - 50 ms and execute instruction B from 50 - 100 ms).

[0069] In the embodiments of this application, first, arrange the dynamic interference instructions generated in step 205 in chronological order of time periods (for example, execute the F3 suppression instruction from 0 - 50 ms and execute the F5 suppression instruction from 50 - 100 ms); secondly, calibrate the synchronization between the timestamps of the instructions in each time period and the frequency band switching actions (for example, ensure that the F5 suppression instruction takes effect immediately at 50 ms); finally, integrate all the instructions to generate a frequency band coordination strategy table as the execution basis for wide-area suppression.

[0070] The following is a specific example: In a border patrol mission, the target UAV group uses multi-band frequency hopping communication (frequency bands F3 and F5, switching period 100 ms). The system generates a frequency band coordination strategy according to the following process: First, extract the frequency hopping sequence based on the protocol feature library. It is analyzed that F3 is activated once every 100 ms and lasts for 50 ms, and F5 is activated in the remaining 50 ms, generating a frequency band activity rule table (step 201); then, divide the suppression period into two consecutive interference time periods: 0 - 50 ms (F3 is active) and 50 - 100 ms (F5 is active), and mark the corresponding active frequency band sets (step 202); subsequently, generate an adjustable interference signal with a frequency offset of ±20 MHz and a symbol rate of 1 Mbps according to the encryption feature of F3 (QPSK modulation, symbol rate 1 Mbps) and the frequency hopping sequence difference (F3 - F1 = 20 MHz) (step 203); then, allocate 70% of the directional interference energy (15 W) to the F3 time period and bind the ±20 MHz frequency offset parameter, and allocate 30% of the energy (10 W) to the F5 time period and bind the ±10 MHz frequency offset parameter to form an interference resource allocation plan (step 204); after that, adjust the directional focusing antenna array to point to the 30° azimuth angle and inject the F3 ±20 MHz interference signal from 0 - 50 ms, and switch to the 45° azimuth angle and inject the F5 ±10 MHz interference signal from 50 - 100 ms to generate dynamic interference instructions (step 205); finally, integrate the instructions in chronological order to form a frequency band coordination strategy table to ensure that the suppression action is strictly synchronized with the frequency hopping switch, and completely block the communication link between the UAV group and the control station throughout the process (step 206).

[0071] In summary, steps 201 to 206 achieve precise suppression of multi-band frequency-hopping communication by dynamically analyzing the frequency-hopping pattern, dividing the interference period, binding interference resources, and generating real-time instructions. The interference energy and signal parameters are dynamically adapted according to the active pattern of the frequency bands. The directional antenna and the interference signal cooperate to effectively cover the communication links of the UAV swarm with fast frequency hopping within a wide area, significantly reducing their communication stability and cooperative control ability.

[0072] To address the problem of insufficient dynamic adaptation of interference resources in multi-band frequency-hopping interference scenarios, in some embodiments, in step 204, based on the set of active frequency bands, the energy intensity of the directional interference energy signal and the adjustable interference signal are processed for frequency-band binding to generate an interference resource allocation scheme corresponding to the active frequency bands in each time period, including: 301. Analyze the communication signal strength and modulation characteristics of each active frequency band in the set of active frequency bands to obtain a frequency-band analysis result, and determine the interference requirement parameters corresponding to each active frequency band based on the frequency-band analysis result; In step 301, the communication signal strength refers to the signal power level of the target UAV swarm on the active frequency band (for example, the signal strength of frequency band F3 is -60 dBm).

[0073] The modulation characteristic refers to the modulation type (such as QPSK) and symbol rate (such as 1 Mbps) of the communication signal on the active frequency band.

[0074] The interference requirement parameter refers to the frequency-band suppression requirement determined based on the signal strength and modulation characteristics, including the required energy intensity level (such as high / medium / low) and the type of signal interference parameter (such as frequency offset range).

[0075] In the embodiments of the present application, first, the communication signals of each frequency band (such as F3, F5) in the set of active frequency bands are collected in real time, their signal strengths are measured, and the modulation type (such as QPSK) and symbol rate (1 Mbps) are analyzed; second, the suppression difficulty is judged according to the signal strength (for example, a signal strength of -60 dBm requires high-energy suppression), and the type of interference signal parameter is determined according to the modulation characteristic (for example, QPSK requires a symbol rate of 1 Mbps to be matched); finally, an interference requirement parameter table is generated to mark the required energy level and signal parameter type of each frequency band.

[0076] 302. According to the interference requirement parameters, perform a frequency-band proportional allocation process on the energy intensity of the directional interference energy signal to generate an energy suppression ratio matching each active frequency band; In step 302, the frequency-band proportional allocation process means that the total interference energy is proportionally allocated to different frequency bands according to the interference requirement parameters (for example, 70% of the energy is allocated to the high-demand frequency band).

[0077] The energy suppression ratio refers to the ratio of the energy allocated to each frequency band to the total energy (for example, 70% is allocated to F3 and 30% to F5).

[0078] In the embodiments of the present application, first, read the interference requirement parameter table generated in step 301 (for example, high energy suppression is required for F3); second, calculate the energy ratio of each frequency band according to the preset energy allocation rule (such as 70% energy is allocated to the high-demand frequency band) (for example, F3: 70%, F5: 30%); then, split the total energy (for example, 20W) proportionally (14W is allocated to F3 and 6W to F5); finally, generate an energy suppression ratio table to clarify the energy allocation values for each frequency band.

[0079] 303. Based on the encryption features and multi-band hopping sequences in the protocol feature library, determine the frequency offset parameter and symbol rate parameter of the adjustable interference signal, perform frequency band matching processing on the frequency offset parameter and symbol rate parameter, and generate signal interference parameters corresponding to each active frequency band; In step 303, the frequency offset parameter refers to the frequency offset range of the interference signal relative to the target frequency band (for example, F3 ± 20 MHz).

[0080] The symbol rate parameter refers to the symbol transmission rate at which the interference signal matches the target communication (for example, 1 Mbps).

[0081] In the embodiments of the present application, first, extract the hopping sequence (for example, F1 → F3 → F5) and encryption features (for example, QPSK modulation) of the target frequency band from the protocol feature library; second, generate the frequency offset parameter (±20 MHz) according to the difference between adjacent frequency bands in the hopping sequence (for example, F3 - F1 = 20 MHz), and analyze the symbol rate parameter (1 Mbps) according to the encryption features; then, load the parameters into a preset interference signal (for example, white noise) to generate an adjustable interference signal; finally, bind the parameters by frequency band (for example, F3 is bound with ±20 MHz offset and 1 Mbps rate) to form a signal interference parameter table.

[0082] 304. Perform a priority sorting process on the energy suppression ratio and signal interference parameters according to the active frequency band to obtain a hierarchical energy allocation ratio; In step 304, the priority sorting process refers to sorting the energy suppression ratio and signal interference parameters according to the importance of the frequency band (for example, resources are preferentially allocated to high-priority frequency bands).

[0083] The hierarchical energy allocation ratio refers to the energy allocation ratio divided according to priority (for example, 70% is allocated to high-priority frequency bands and 30% to medium-priority ones).

[0084] In the embodiments of the present application, first, based on the historical switching frequency of the active frequency band (for example, F3 switches 100 times per hour) and the communication signal strength (for example, -60 dBm), calculate the priority weights of each frequency band (for example, the weight of F3 is 0.7, and the weight of F5 is 0.3); secondly, sort the energy suppression ratio (output in step 302) and the signal interference parameter (output in step 303) according to the weights (for example, F3 ranks first); then, generate a hierarchical energy allocation ratio (for example, F3: 70% energy + wide frequency offset, F5: 30% energy + narrow frequency offset).

[0085] 305. And monitor the signal change characteristics of the multi-band frequency hopping communication channel in real time, and perform dynamic weight correction processing on the hierarchical energy allocation ratio and the signal interference parameter according to the signal change characteristics to generate an interference resource allocation scheme.

[0086] In step 305, the signal change characteristic refers to the real-time state change of the target communication frequency band (for example, a new frequency band is activated, and the signal strength suddenly changes).

[0087] The dynamic weight correction processing refers to adjusting the resource allocation ratio after the priority sorting according to the real-time monitoring result.

[0088] In the embodiments of the present application, first, monitor the multi-band frequency hopping communication channel in real time and detect the signal change characteristics (for example, the signal strength of F5 suddenly increases to -50 dBm); secondly, compare the initial hierarchical energy allocation ratio (output in step 304), and recalculate the priority weights of the affected frequency bands (for example, the weight of F5 is increased from 0.3 to 0.5); then, re-allocate the energy ratio according to the new weights (for example, F3: 50%, F5: 50%) and adjust the signal interference parameter (for example, the frequency offset of F5 is expanded to ±15 MHz); finally, generate an interference resource allocation scheme table.

[0089] The following is a specific example: In the urban security scenario, the target UAV group performs frequency hopping communication between the frequency bands F3 (QPSK modulation, signal strength -60 dBm) and F5 (FSK modulation, signal strength -70 dBm), and the system generates an interference resource allocation scheme according to the following process: In step 301, the communication signals of F3 and F5 are collected in real time. The modulation characteristics of F3 are analyzed as QPSK (symbol rate 1 Mbps), and those of F5 are FSK (symbol rate 500 Kbps). Combining the signal strength, it is determined that F3 requires high-energy suppression (70%) and F5 requires medium-energy suppression (30%), and an interference requirement parameter table is generated; in step 302, the total interference energy of 20 W is proportionally allocated according to the requirement parameters (14 W is allocated to F3 and 6 W is allocated to F5) to form an energy suppression ratio table; in step 303, based on the frequency hopping sequence (F3 - F1 = 20 MHz) and encryption characteristics (QPSK / FSK) in the protocol feature library, the corresponding frequency offsets of ±20 MHz and symbol rate of 1 Mbps for F3, and ±10 MHz and 500 Kbps for F5 are generated and bound to the adjustable interference signal; in step 304, according to the high-frequency switching characteristic of F3 (100 times per hour), it is given a high priority (weight 0.7), and a hierarchical energy allocation ratio table is generated (F3: 70% energy + wide offset, F5: 30% energy + narrow offset); in step 305, when the signal strength of F5 is suddenly detected to increase to -50 dBm, the priority weights are recalculated (F3: 0.5, F5: 0.5), the energy allocation is dynamically adjusted (10 W each), and the frequency offset of F5 is extended to ±15 MHz. Finally, an updated interference resource allocation scheme is generated. This scheme synchronously controls the direction of the directional antenna and the parameters of the interference signal, injects ±20 MHz interference at a 30° azimuth angle during the F3 period, and turns to 45° to inject ±15 MHz interference during the F5 period, suppressing the communication link of the UAV swarm throughout the process.

[0090] In summary, steps 301 to 305 achieve precise adaptive suppression of multi-band frequency hopping communication by dynamically analyzing frequency band characteristics, allocating energy ratios, generating interference parameters, and real-time correcting weights. The interference resources are dynamically adjusted according to the frequency band priority and real-time status, and the energy suppression and signal deception work together to significantly improve the interference efficiency and stability in complex frequency hopping scenarios.

[0091] In order to further improve the dynamic adaptation accuracy of multi-band frequency hopping interference signals, in some embodiments, in step 303, based on the encryption characteristics and multi-band frequency hopping sequence in the protocol feature library, the frequency offset parameters and symbol rate parameters of the adjustable interference signal are determined, and the frequency offset parameters and symbol rate parameters are subjected to frequency band matching processing to generate signal interference parameters corresponding to each active frequency band, including: 401. Analyze the switching order and interval duration of adjacent frequency bands in the multi-band frequency hopping sequence, determine the predicted range of the next-hop frequency band for each active frequency band, and generate frequency offset parameters covering the predicted range; In step 401, the next-hop frequency band prediction range refers to the frequency band range that the target UAV group may use for the next hop according to the switching order and interval duration of adjacent frequency bands in the frequency hopping sequence (for example, if the current frequency band is F3 and the frequency hopping interval is 50 ms, the next hop may cover F3 ± 20 MHz).

[0092] The frequency offset parameter refers to the frequency offset range of the interference signal relative to the current active frequency band (for example, ±20 MHz).

[0093] In the embodiments of the present application, first, a multi-band frequency hopping sequence (such as F1→F3→F5) is extracted from the protocol feature library, and the switching order (F1→F3→F5) and interval duration (such as 50 ms between F1 and F3) of adjacent frequency bands are parsed; second, the frequency difference between adjacent frequency bands (such as F3 - F1 = 20 MHz) is calculated according to the switching order, and the frequency range that the next-hop frequency band may cover is predicted (such as F3 ± 20 MHz); finally, a frequency offset parameter covering this predicted range is generated (such as ±20 MHz).

[0094] 402. Parse the transmission rate identifier associated with the encryption algorithm in the encryption feature to obtain the transmission rate range of the communication link of the target UAV group; In step 402, the transmission rate identifier refers to the transmission rate identifier associated with the encryption algorithm in the encryption feature (for example, the symbol rate corresponding to the AES-128 encryption algorithm is 1 Mbps).

[0095] The transmission rate range refers to the symbol rate fluctuation interval supported by the communication link of the target UAV group (for example, 1 Mbps ± 10%).

[0096] In the embodiments of the present application, first, the encryption feature (such as the encryption algorithm identifier AES-128) is extracted from the protocol feature library; second, according to the preset mapping rule between the encryption algorithm and the symbol rate (such as AES-128 corresponding to 1 Mbps), the transmission rate reference value (1 Mbps) and the allowable fluctuation range (±10%) of the target UAV group are parsed; finally, the transmission rate range is determined to be 0.9~1.1 Mbps.

[0097] 403. Determine the transmission rate fluctuation interval of the adjustable interference signal according to the transmission rate range and the preset rate offset rule; In step 403, the rate offset rule refers to the interference signal rate fluctuation rule set according to the target transmission rate range (for example, covering ±15% of the target rate range).

[0098] The transmission rate fluctuation interval refers to the dynamic adjustment range of the interference signal symbol rate (for example, 0.85~1.15 Mbps).

[0099] In the embodiment of the present application, first, read the transmission rate range (0.9 - 1.1 Mbps) parsed in step 402; secondly, according to the preset rate offset rule (for example, expand by ±15% to cover the target rate fluctuation), expand the original range to 0.85 - 1.15 Mbps; finally, generate the symbol rate fluctuation interval parameter of the interference signal.

[0100] 404. Generate symbol rate parameters that match the transmission rate change law of the communication link with the target UAV group based on the transmission rate fluctuation interval. In step 404, the symbol rate parameter refers to the symbol rate value dynamically adjusted by the interference signal (for example, randomly varying within the range of 0.85 - 1.15 Mbps).

[0101] In the embodiment of the present application, first, based on the transmission rate fluctuation interval (0.85 - 1.15 Mbps) generated in step 403, set the dynamic adjustment step of the symbol rate (for example, 0.05 Mbps); secondly, generate a symbol rate parameter sequence (0.85, 0.90, 0.95... 1.15 Mbps) to ensure that all possible values of the target rate are covered; finally, store the parameter sequence in the interference signal configuration table.

[0102] 405. Perform an association process on the frequency offset parameter and the symbol rate parameter according to the modulation characteristics of the active frequency band to generate frequency coverage range and signal transmission rate combination parameters corresponding to each active frequency band. In step 405, the frequency coverage range and signal transmission rate combination parameter refers to a parameter set obtained by binding the frequency offset parameter and the symbol rate parameter according to the frequency band modulation characteristics (for example, the F3 frequency band is bound with a ±20 MHz offset and a rate of 0.9 - 1.1 Mbps).

[0103] In the embodiment of the present application, first, extract the modulation characteristics of the active frequency band (for example, F3 is QPSK modulation, F5 is FSK modulation); secondly, bind the frequency offset parameter (for example, F3 ±20 MHz) generated in step 401 and the symbol rate parameter (0.85 - 1.15 Mbps) generated in step 404 according to the frequency band; finally, generate a combination parameter table to clarify the interference parameter combinations of each frequency band (for example, F3: ±20 MHz + 0.85 - 1.15 Mbps, F5: ±15 MHz + 0.8 - 1.2 Mbps).

[0104] 406. Perform a frequency band binding process on the waveform parameters of the adjustable interference signal based on the frequency coverage range and signal transmission rate combination parameters to generate signal interference parameters that match each active frequency band.

[0105] In step 406, the waveform parameter refers to the waveform form of the interference signal (for example, pulse width, carrier frequency).

[0106] The signal interference parameter refers to a set of interference signal configuration parameters that perfectly match the target frequency band.

[0107] In the embodiments of the present application, first, based on the combined parameter table generated in step 405 (for example, F3: ±20 MHz, 0.85~1.15 Mbps), adjust the carrier frequency range (for example, F3 ±20 MHz) and pulse width (for example, 10 μs) of the adjustable interference signal; secondly, load the adjusted waveform parameters into the interference signal generator; finally, generate signal interference parameters and control the interference device to inject signals dynamically according to the parameters.

[0108] The following is a specific example: In a border patrol mission, the target UAV group uses frequency-hopping communication (frequency bands F3 and F5, encryption algorithm AES-128). The system generates signal interference parameters according to the following process: Parse the frequency-hopping sequence F1→F3→F5 (adjacent switching interval 50 ms) in the protocol feature library, calculate the frequency difference F3 - F1 = 20 MHz, predict the next-hop frequency band range as F3 ±20 MHz, and generate the frequency offset parameter ±20 MHz; Parse the transmission rate identifier corresponding to AES-128 from the encryption features, determine the reference symbol rate as 1 Mbps, and the allowable fluctuation range as 0.9~1.1 Mbps; According to the rate offset rule (extended ±15%), extend the transmission rate range to 0.85~1.15 Mbps; Generate a symbol rate parameter sequence (0.85, 0.90…1.15 Mbps) with a step of 0.05 Mbps; Bind the frequency offset ±20 MHz and symbol rate 0.85~1.15 Mbps to the F3 frequency band, and bind ±15 MHz and 0.8~1.2 Mbps to the F5 frequency band; Adjust the carrier frequency of the adjustable interference signal to F3 ±20 MHz and the pulse width to 10 μs, and generate a signal interference parameter instruction set. The system injects interference signals with a frequency fluctuation of ±20 MHz and a symbol rate of 0.85~1.15 Mbps dynamically in the F3 frequency band, accurately covering the target frequency-hopping range and causing the communication synchronization of the UAV group to fail.

[0109] In summary, steps 401 to 406 generate frequency offset and symbol rate parameters that perfectly match the target frequency band by dynamically parsing the frequency-hopping pattern and encryption features, realizing the precise adaptation of interference signals. The interference energy and signal parameters are dynamically adjusted according to the frequency-hopping behavior, covering multi-band communication links, and significantly improving the suppression efficiency and anti-evasion ability.

[0110] In order to further improve the real-time synchronization accuracy between the interference signal and the subcarrier modulation mode of the target UAV swarm, in some embodiments, in step 103, based on the encryption features and multi-band hopping sequences in the protocol feature library, parameter setting processing is performed on a preset interference signal to generate an adjustable interference signal, and the adjustable interference signal is synchronously adapted to the specific subcarrier modulation mode of the target UAV swarm to generate an interference injection signal, including: 501. Analyze the encryption features in the protocol feature library to determine the waveform parameters and symbol rate parameters for modulating signals in the communication link of the target UAV swarm; In step 501, the waveform parameter refers to the waveform form used to modulate the subcarrier in the target communication link (for example, the rectangular pulse waveform of QPSK modulation).

[0111] The symbol rate parameter refers to the number of symbols transmitted per second in the target communication link (for example, 1M symbols / second).

[0112] In the embodiments of the present application, first, extract the encryption features from the protocol feature library (for example, the encryption algorithm identifier AES-128), and analyze the waveform identifier associated with the modulation mode therein (for example, the rectangular pulse corresponding to QPSK); second, determine the symbol rate parameter of the target communication link according to the mapping rule between the encryption algorithm and the symbol rate (for example, AES-128 corresponds to 1Mbps); finally, generate the waveform parameter (for example, pulse width 10μs) and the symbol rate parameter (1Mbps).

[0113] 502. Analyze the multi-band hopping sequence in the protocol feature library to obtain a sequence analysis result, and based on the sequence analysis result, extract the switching time interval and frequency offset range between adjacent frequency bands to generate the frequency offset parameter of the adjustable interference signal; In step 502, the switching time interval refers to the time interval for the target UAV swarm to switch between different frequency bands (for example, it takes 50ms to switch from F1 to F3).

[0114] The frequency offset range refers to the frequency fluctuation range of the interference signal relative to the target frequency band (for example, ±20MHz).

[0115] In the embodiments of the present application, first, analyze the multi-band hopping sequence in the protocol feature library (for example, F1→F3→F5), and extract the switching time interval between adjacent frequency bands (for example, the interval between F1 and F3 is 50ms) and the frequency difference (for example, F3 - F1 = 20MHz); second, calculate the frequency offset parameter covering the predicted range of the next-hop frequency band according to the switching time interval and the frequency difference (for example, ±20MHz); finally, generate the frequency offset parameter (for example, F3: ±20MHz, F5: ±15MHz).

[0116] 503. Load the waveform parameters, symbol rate parameters, and frequency offset parameters into the generation rule of a preset interference signal to generate an adjustable interference signal compatible with the subcarrier modulation method of the target UAV group; In step 503, the generation rule refers to the parameter configuration template of the preset interference signal (such as the frequency, rate, and waveform parameter template of white noise carrier).

[0117] The adjustable interference signal refers to the reference interference signal after loading the waveform, symbol rate, and frequency offset parameters.

[0118] In the embodiment of the present application, first, input the waveform parameters (rectangular pulse), symbol rate parameters (1 Mbps) generated in step 501, and the frequency offset parameters (±20 MHz) generated in step 502 into the preset interference signal generator; second, adjust the carrier frequency (such as F3 ± 20 MHz), pulse width (10 μs), and symbol rate (1 Mbps) according to the parameters; finally, generate an adjustable interference signal compatible with the target subcarrier modulation method (QPSK).

[0119] 504. Real-time monitor the active frequency band identifier of the target UAV group, match the corresponding frequency offset parameters according to the active frequency band identifier, and perform dynamic adjustment processing on the symbol rate parameters to generate an interference injection signal that is synchronized with the target subcarrier modulation method in real time.

[0120] In step 504, the active frequency band identifier refers to the frequency band number actually used by the target UAV group during the current suppression period (such as F3 or F5).

[0121] The dynamic adjustment processing refers to adjusting the frequency offset and symbol rate parameters of the interference signal according to the real-time monitoring results.

[0122] In the embodiment of the present application, first, real-time monitor the active frequency band identifier of the target UAV group (such as the current active frequency band is F3); second, match the corresponding offset range (±20 MHz) of F3 from the frequency offset parameter table, and dynamically fine-tune the symbol rate according to the target signal strength (such as adjusting from 1 Mbps to 1.05 Mbps); then, load the adjusted parameters into the adjustable interference signal generator; finally, generate an interference injection signal that is synchronized with the target subcarrier modulation method in real time.

[0123] The following is a specific example: During the border patrol mission, the target unmanned aircraft group uses QPSK modulation (symbol rate 1 Mbps) for frequency hopping communication between frequency bands F3 and F5. The system generates and injects interference signals according to the following process: First, in step 501, the encryption features are parsed from the protocol feature library, and the waveform parameters (rectangular pulse, width 10 μs) and symbol rate parameters (1 Mbps) corresponding to QPSK modulation are extracted. Then, in step 502, the switching interval (50 ms) and frequency difference (F3 - F1 = 20 MHz) of the frequency hopping sequence F1 → F3 → F5 are analyzed to generate frequency offset parameters of ±20 MHz for the F3 frequency band. Subsequently, in step 503, the waveform parameters, symbol rate parameters, and frequency offset parameters are loaded into a preset interference signal generator, and the carrier frequency is configured as F3 ± 20 MHz and the pulse width as 10 μs to generate an adjustable interference signal. Finally, in step 504, when it is detected in real time that the target switches to the F3 frequency band, the frequency offset of ±20 MHz is matched, and the symbol rate is dynamically adjusted to 1.05 Mbps according to the signal strength fluctuation to generate an interference injection signal that is synchronized in real time with the QPSK modulation. The system continuously injects this signal to cover the F3 ± 20 MHz frequency band and dynamically adapt to the symbol rate, resulting in the inability of the target receiving end to parse the legitimate communication and blocking the communication link between the unmanned aircraft group and the control station throughout the process.

[0124] In summary, steps 501 to 504 generate interference signals that are fully compatible with the subcarrier modulation method by dynamically analyzing the waveform and frequency characteristics of the target communication, and adapt to the frequency band switching and signal changes in real time to achieve precise synchronous suppression. The interference injection signal covers the target frequency hopping range and rate fluctuation interval, significantly improving the blocking efficiency of the communication of the unmanned aircraft group in a complex electromagnetic environment.

[0125] In order to further improve the synchronization accuracy of the interference signal with the real-time communication of the target unmanned aircraft group, in some embodiments, in step 504, the active frequency band identifier of the target unmanned aircraft group is monitored in real time, the corresponding frequency offset parameters are matched according to the active frequency band identifier, and the symbol rate parameters are dynamically adjusted to generate an interference injection signal that is synchronized in real time with the target subcarrier modulation method, including: 601. Scan the communication signal frequency band range of the target unmanned aircraft group, detect the signal energy peak value of each frequency band, and obtain the active frequency band identifier; In step 601, the signal energy peak value refers to the maximum instantaneous power of the communication signal in the target frequency band (for example, the peak power of frequency band F3 is -50 dBm).

[0126] The active frequency band identifier refers to the frequency band number in the current communication state (such as F3 or F5).

[0127] In the embodiments of the present application, first, a broadband spectrum scanning device is used to perform full-band scanning on the communication frequency band range (for example, 2.4 GHz to 2.5 GHz) of the target UAV group; second, the signal energy peak values of each frequency band are detected (for example, the peak value of F3 is -50 dBm at 2.42 GHz, and the peak value of F5 is -55 dBm at 2.48 GHz); then, the frequency bands with energy peak values exceeding the preset threshold are screened (for example, the threshold is -60 dBm, and both F3 and F5 are selected); finally, an active frequency band identification list is generated (for example, [F3, F5]).

[0128] 602. According to the active frequency band identification, find the initial values of the corresponding frequency offset parameter and symbol rate parameter from the protocol feature library; In step 602, the initial value of the frequency offset parameter refers to the frequency band offset range pre-stored in the protocol feature library (for example, F3 ± 20 MHz).

[0129] The initial value of the symbol rate parameter refers to the reference symbol rate pre-stored in the protocol feature library (for example, F3 corresponds to 1 Mbps).

[0130] In the embodiments of the present application, first, read the active frequency band identification list (for example, F3 and F5) generated in step 601; second, query the corresponding frequency offset parameters (for example, F3: ± 20 MHz, F5: ± 15 MHz) and the initial values of the symbol rate parameters (for example, F3: 1 Mbps, F5: 500 Kbps) of each active frequency band from the protocol feature library; finally, generate an initial parameter matching table (for example, F3 is bound to ± 20 MHz and 1 Mbps).

[0131] 603. Based on the change rate of the signal energy peak value of the active frequency band identification, perform dynamic scaling processing on the initial value of the symbol rate parameter to generate a real-time adaptive symbol rate parameter that is synchronously updated with the target subcarrier modulation method; In step 603, the change rate of the signal energy peak value refers to the fluctuation speed of the signal energy peak value of the target frequency band (for example, it takes 10 ms for the peak value of F3 to rise from -50 dBm to -45 dBm).

[0132] The real-time adaptive symbol rate parameter refers to the symbol rate value dynamically adjusted according to the energy change (for example, it is increased from 1 Mbps to 1.2 Mbps).

[0133] In the embodiments of the present application, first, the change rate of the signal energy peak value in the active frequency band is monitored in real time (for example, F3 rises from -50 dBm to -45 dBm within 10 ms, and the change rate is 0.5 dBm / ms); second, according to the preset rate-symbol rate mapping rule (for example, when the energy rise rate > 0.3 dBm / ms, the symbol rate is increased by 20%), the dynamic scaling ratio is calculated (for example, 1 Mbps × 1.2 = 1.2 Mbps); finally, a real-time adaptive symbol rate parameter is generated (for example, F3: 1.2 Mbps).

[0134] 604. Load the frequency offset parameter and the real-time adaptive symbol rate parameter into the generation rule of the adjustable interference signal to generate an interference injection signal covering the current active frequency band.

[0135] In step 604, the generation rule refers to a preset interference signal parameter configuration template (such as carrier frequency, symbol rate, waveform type).

[0136] The interference injection signal refers to the final interference signal generated after loading real-time parameters.

[0137] In the embodiments of the present application, first, the frequency offset parameter (for example, F3 ± 20 MHz) matched in step 602 and the real-time adaptive symbol rate parameter (for example, 1.2 Mbps) generated in step 603 are input into the adjustable interference signal generator; second, the carrier frequency range (for example, 2.42 GHz ± 20 MHz) and the symbol rate (1.2 Mbps) are adjusted according to the parameters; finally, an interference injection signal covering the current active frequency band is generated and continuously injected into the target channel.

[0138] The following is a specific example: In the border patrol mission, the target UAV group communicates by hopping frequencies between the frequency bands F3 (2.42 GHz) and F5 (2.48 GHz). The system generates and injects interference signals in real time according to the following process: In step 601, the system performs a full-band scan on the 2.4 GHz - 2.5 GHz frequency band through a broadband spectrum scanning device, detects that the signal energy peak of the F3 frequency band is -50 dBm and the peak of the F5 frequency band is -55 dBm, and filters and generates an active frequency band identification list [F3, F5]; in step 602, according to the active frequency band identification, the initial parameters corresponding to F3 (frequency offset ±20 MHz, symbol rate 1 Mbps) and the initial parameters of F5 (±15 MHz, 500 Kbps) are matched from the protocol feature library; in step 603, it is monitored in real time that the F3 signal energy rapidly rises from -50 dBm to -45 dBm within 10 ms (change rate 0.5 dBm / ms), and according to the preset rule (when the energy change rate > 0.3 dBm / ms, the symbol rate is increased by 20%), the symbol rate of F3 is dynamically adjusted from 1 Mbps to 1.2 Mbps; in step 604, the adjusted F3 parameters (±20 MHz, 1.2 Mbps) are loaded into the interference signal generator to generate an interference injection signal with a carrier frequency of 2.42 GHz ±20 MHz and a symbol rate of 1.2 Mbps, continuously covering the F3 frequency band. The target UAV group cannot parse the legal instructions due to the interference signal being synchronized with the communication link in real time, the communication link is interrupted, and finally it loses control.

[0139] To sum up, steps 601 to 604 achieve precise synchronous suppression of the target communication by monitoring the energy change of the target frequency band in real time and dynamically adjusting the frequency offset and symbol rate of the interference signal. The interference signal parameters are adapted to the target behavior in real time, covering the fully active frequency bands of the frequency hopping communication, significantly improving the blocking efficiency and anti-interference ability of the UAV group communication in a complex electromagnetic environment.

[0140] To solve the problem of uneven distribution of interference resources in a multi-band frequency hopping interference scenario, in some embodiments, in step 304, the energy suppression ratio and signal interference parameters are sorted by priority according to the active frequency band to obtain a hierarchical energy allocation ratio, including: 701. Analyze the communication signal strength and historical switching frequency of each active frequency band in the active frequency band set to obtain a frequency analysis result, and determine the interference priority level of each active frequency band based on the frequency analysis result; In step 701, the communication signal strength refers to the real-time power level of the communication signal in the target frequency band (for example, the signal strength of the F3 frequency band is -50 dBm).

[0141] The historical switching frequency refers to the number of times a frequency band is activated within a unit time (for example, F3 switches 100 times per hour).

[0142] The interference priority level refers to the frequency band suppression priority level divided based on the signal strength and switching frequency (for example, high, medium, and low levels).

[0143] In the embodiments of the present application, first, the communication signal strengths of each frequency band in the active frequency band set (such as F3, F5) (for example, F3 is -50 dBm and F5 is -60 dBm) and the historical switching frequencies (for example, F3 switches 100 times per hour and F5 switches 30 times) are collected in real time; second, according to a preset rule (for example, the higher the signal strength and the more the switching frequency, the higher the priority of the frequency band), the comprehensive weights of each frequency band are calculated (for example, the weight of F3 is 0.8 and the weight of F5 is 0.3); finally, the interference priority levels are generated by sorting according to the weights (for example, F3 is a high priority level and F5 is a low priority level).

[0144] 702. According to the interference priority levels, perform a hierarchical classification process on the energy suppression ratio to generate high, medium, and low three-level energy distribution ratios corresponding to each active frequency band; In step 702, the hierarchical classification process refers to proportionally distributing the total energy to the high, medium, and low three levels according to the priority levels (for example, 70% of the energy is distributed to the high priority level).

[0145] The three-level energy distribution ratio refers to the energy distribution ratios corresponding to each priority level (for example, high: 70%, medium: 20%, low: 10%).

[0146] In the embodiments of the present application, first, read the interference priority level table generated in step 701 (for example, F3 is a high priority level and F5 is a low priority level); second, according to a preset distribution rule (for example, 70% of the total energy is distributed to the high priority level), calculate the energy distribution values of each frequency band (for example, the total energy is 20 W, F3 is allocated 14 W, and F5 is allocated 2 W); finally, generate the three-level energy distribution ratio (for example, F3: 70% + 14 W, F5: 10% + 2 W).

[0147] 703. Based on the frequency offset parameter and the transmission rate parameter in the signal interference parameters, perform a hierarchical adaptation process on the signal interference parameters of each active frequency band to generate a set of interference signal parameters that match the interference priority levels; In step 703, the hierarchical adaptation process refers to adjusting the coverage range and accuracy of the signal interference parameters according to the priority levels (for example, a wider frequency offset is used for the high priority frequency band).

[0148] The set of interference signal parameters refers to a combination of signal parameters classified according to the priority levels (for example, the high priority frequency band is bound with a ±20 MHz offset and a high symbol rate).

[0149] In the embodiments of the present application, first, the initial values of the signal interference parameters are extracted from the protocol feature library (for example, the F3 frequency offset is ±20 MHz, and the symbol rate is 1 Mbps); second, the parameter range is adjusted according to the priority level (for example, the offset of F3 with high priority is extended to ±25 MHz, and the symbol rate is increased to 1.2 Mbps); finally, a set of interference signal parameters matching the priority is generated (for example, the high-priority parameters refer to ±25 MHz + 1.2 Mbps).

[0150] 704. Perform a corresponding binding process on the three-level energy distribution ratio and the set of interference signal parameters according to the active frequency bands to generate the hierarchical energy distribution ratio.

[0151] In step 704, the corresponding binding process refers to associating the energy distribution ratio with the signal interference parameters according to the frequency bands (for example, F3 is bound with 70% energy + ±25 MHz offset).

[0152] The hierarchical energy distribution ratio refers to the finally generated mapping table of frequency bands, energy, and signal parameters.

[0153] In the embodiments of the present application, first, read the three-level energy distribution ratio table in step 702 (for example, F3: 70% + 14 W) and the set of interference signal parameters in step 703 (for example, F3: ±25 MHz + 1.2 Mbps); second, bind the energy and signal parameters according to the frequency bands (for example, F3 is associated with 14 W energy, ±25 MHz offset, and 1.2 Mbps rate); finally, generate the hierarchical energy distribution ratio to guide the dynamic allocation of interference resources.

[0154] The following is a specific example: During the border patrol mission, the target UAV swarm communicates through frequency hopping between frequency bands F3 (signal strength -50dBm, historical switching frequency 100 times per hour) and F5 (signal strength -60dBm, switching frequency 30 times per hour). The system generates a hierarchical energy allocation ratio according to the following process: In step 701, the system analyzes the communication signal strength (-50dBm) and high-frequency switching characteristics (100 times per hour) of F3, calculates the comprehensive weight of 0.8, and marks it as high priority; for F5, due to its lower signal strength and fewer switching frequencies, the weight is 0.3, and it is marked as low priority; in step 702, according to the priority level division rule, the total interference energy of 20W is allocated proportionally (70% of 14W is allocated to high-priority F3, and 10% of 2W is allocated to low-priority F5); in step 703, based on the initial parameters of F3 in the protocol feature library (frequency offset ±20MHz, symbol rate 1Mbps), the frequency offset is extended to ±25MHz and the symbol rate is increased to 1.2Mbps according to high priority, while F5 maintains the initial parameters (±15MHz, 500Kbps); in step 704, the 14W energy of F3 is bound to the extended parameters (±25MHz, 1.2Mbps), and the 2W energy of F5 is bound to the initial parameters, generating a hierarchical energy allocation ratio table. The system suppresses energy concentration and broadband interference during the active period of F3 according to this table, and reduces the suppression intensity during the F5 period, effectively blocking the communication link of the UAV swarm throughout the process.

[0155] In summary, steps 701 to 704 achieve precise adaptation of interference resources by dynamically analyzing the frequency band priorities, allocating energy and signal parameters according to levels. The high-priority frequency band obtains a wider frequency coverage and higher energy suppression, and the low-priority frequency band allocates resources as needed, significantly improving the interference efficiency and stability in complex frequency hopping scenarios.

[0156] Figure 2 The following is a schematic structural diagram of a wide-area suppression system for UAV swarms based on multi-band frequency hopping interference provided by an embodiment of the present application, as Figure 2 shown. The system includes: A protocol feature analysis module 21, configured to analyze the frequency hopping rules and encryption characteristics of the communication link of the target UAV swarm, obtain the analysis results, and construct a protocol feature library containing multi-band frequency hopping sequences based on the analysis results; An interference energy regulation module 22, configured to deploy a directional focusing antenna array, and use the multi-band frequency hopping sequences in the protocol feature library to adjust the transmission direction and energy intensity of the directional focusing antenna array in real time, generating a directional interference energy signal for multi-band frequency hopping communication channels that centrally suppress the active hot spots of the UAV swarm under wide-area coverage; A signal parameter adaptation module 23, which is used to perform parameter setting processing on a preset interference signal based on the encryption features and multi-band hopping sequences in the protocol feature library, generate an adjustable interference signal, and synchronously adapt the adjustable interference signal to the specific subcarrier modulation method of the target UAV group to generate an interference injection signal; A frequency band coordination decision module 24, which is used to extract the time distribution law of the multi-band hopping sequence, and perform dynamic collaborative adjustment processing on the injection frequency bands of the directional interference energy signal and the adjustable interference signal based on the time distribution law to generate a frequency band coordination strategy; A dynamic suppression execution module 25, which is used to perform dynamic allocation processing on the frequency band allocation of the directional interference energy signal and the interference injection signal in the multi-band hopping communication channel according to the frequency band priority and time window in the frequency band coordination strategy to generate a wide-area suppression signal for the UAV group control link.

[0157] Figure 2 The UAV group wide-area suppression system based on multi-band hopping interference can execute Figure 1 The UAV group wide-area suppression method based on multi-band hopping interference described in the embodiments shown. The implementation principle and technical effects will not be elaborated here. For the UAV group wide-area suppression system based on multi-band hopping interference in the above embodiments, the specific ways for each module and unit to perform operations have been described in detail in the embodiments related to the method, and will not be elaborated here.

[0158] In a possible design, Figure 2 The UAV group wide-area suppression system based on multi-band hopping interference in the embodiments shown can be implemented as a computing device, such as Figure 3 shown, and this computing device can include a storage component 31 and a processing component 32; The storage component 31 stores one or more computer instructions, and among them, the one or more computer instructions are called and executed by the processing component 32.

[0159] The processing component 32 is used for the Figure 1 UAV group wide-area suppression method based on multi-band hopping interference in the above

[0160] embodiments. Among them, the processing component 32 can include one or more processors to execute computer instructions to complete all or part of the steps in the above method. Of course, the processing component can also be implemented by one or more application-specific integrated circuits (ASICs), digital signal processors (DSPs), digital signal processing devices (DSPDs), programmable logic devices (PLDs), field programmable gate arrays (FPGAs), controllers, microcontrollers, microprocessors or other electronic components for executing the above method.

[0161] The storage component 31 is configured to store various types of data to support the operation of the terminal. The storage component can be implemented by any type of volatile or non-volatile storage device or a combination thereof, such as static random access memory (SRAM), electrically erasable programmable read-only memory (EEPROM), erasable programmable read-only memory (EPROM), programmable read-only memory (PROM), read-only memory (ROM), magnetic memory, flash memory, magnetic disk or optical disk.

[0162] Of course, the computing device may necessarily further include other components, such as an input / output interface, a display component, a communication component, etc.

[0163] The input / output interface provides an interface between the processing component and the peripheral interface module, and the above-mentioned peripheral interface module may be an output device, an input device, etc.

[0164] The communication component is configured to facilitate communication between the computing device and other devices in a wired or wireless manner, etc.

[0165] Among them, the computing device may be a physical device or an elastic computing host provided by a cloud computing platform, etc. At this time, the computing device may refer to a cloud server, and the above-mentioned processing component, storage component, etc. may be basic server resources leased or purchased from a cloud computing platform.

[0166] The embodiment of the present application also provides a computer storage medium storing a computer program, and when the computer program is executed by a computer, it can implement the above-mentioned Figure 1 shown embodiment of the method for wide-area suppression of an unmanned aerial vehicle swarm based on multi-band frequency hopping interference.

[0167] Those skilled in the art can clearly understand that for the convenience and brevity of description, the specific working processes of the above-described systems, devices, and units can refer to the corresponding processes in the foregoing method embodiments, and will not be elaborated herein.

[0168] The device embodiments described above are merely illustrative. The units described as separate components may or may not be physically separated, and the components shown as units may or may not be physical units, that is, they may be located in one place, or may be distributed to multiple network units. Some or all of the modules can be selected according to actual needs to achieve the purpose of the solution of this embodiment. Those of ordinary skill in the art can understand and implement it without creative efforts.

[0169] Through the description of the above embodiments, those skilled in the art can clearly understand that each embodiment can be implemented by means of software plus a necessary general hardware platform, and of course, it can also be implemented by hardware. Based on this understanding, the essence of the above technical solution, or the part that contributes to the prior art, can be embodied in the form of a software product. This computer software product can be stored in a computer-readable storage medium, such as ROM / RAM, magnetic disk, optical disk, etc., and includes several instructions to enable a computer device (which can be a personal computer, server, or network device, etc.) to execute the methods described in each embodiment or some parts of the embodiments.

[0170] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present application, and are not intended to limit them; although the present application has been described in detail with reference to the foregoing embodiments, those of ordinary skill in the art should understand that they can still modify the technical solutions described in the foregoing embodiments, or perform equivalent replacements for some of the technical features; and these modifications or replacements do not cause the essence of the corresponding technical solutions to deviate from the spirit and scope of the technical solutions of the embodiments of the present application.

Claims

1. A method for wide - area suppression of unmanned aerial vehicle swarms based on multi - band frequency - hopping interference, characterized in that, Including: Analyze the frequency hopping rules and encryption features of the communication links of the target UAV group to obtain analysis results, and construct a protocol feature library containing multi-band frequency hopping sequences based on the analysis results; Deploy a directional focusing antenna array, and use the multi-band frequency hopping sequences in the protocol feature library to adjust the transmission direction and energy intensity of the directional focusing antenna array in real time, and generate a directional interference energy signal for the multi-band frequency hopping communication channel that suppresses the hot spot area of the UAV group activity under wide-area coverage; Based on the encryption features and multi-band frequency hopping sequences in the protocol feature library, perform parameter setting processing on a preset interference signal to generate an adjustable interference signal, and synchronously adapt the adjustable interference signal to the specific subcarrier modulation method of the target UAV group to generate an interference injection signal; Extract the time distribution law of the multi-band frequency hopping sequence, and perform dynamic collaborative adjustment processing on the injection frequency bands of the directional interference energy signal and the adjustable interference signal based on the time distribution law to generate a frequency band coordination strategy; According to the frequency band priority and time window in the frequency band coordination strategy, perform dynamic allocation processing on the frequency band allocation of the directional interference energy signal and the interference injection signal in the multi-band frequency hopping communication channel to generate a wide-area suppression signal for the UAV group control link.

2. The method according to claim 1, wherein Extract the time distribution law of the multi-band frequency hopping sequence, and perform dynamic collaborative adjustment processing on the injection frequency bands of the directional interference energy signal and the adjustable interference signal based on the time distribution law to generate a frequency band coordination strategy, including: Analyze the switching time interval and continuous occupancy duration between different frequency bands in the multi-band frequency hopping sequence to obtain a time analysis result, and determine the active law of each frequency band in the time dimension based on the time analysis result; Divide the interference period of the multi-band frequency hopping communication channel into multiple continuous time periods according to the active law, and mark the corresponding active frequency band set for each time period; Based on the encryption features and multi-band frequency hopping sequences in the protocol feature library, determine the waveform type, frequency offset, and symbol rate of the preset interference signal, generate modulation parameters compatible with the specific subcarrier modulation method in the communication link of the target UAV group, and load the modulation parameters into the preset interference signal to generate an adjustable interference signal; Based on the active frequency band set, perform frequency band binding processing on the energy intensity of the directional interference energy signal and the adjustable interference signal to generate an interference resource allocation scheme corresponding to the active frequency bands in each time period; According to the interference resource allocation scheme, perform synchronous update processing on the transmission direction of the directional focusing antenna array and the frequency range of the adjustable interference signal to generate a dynamic interference instruction covering the active frequency bands in the current time period; Combine the dynamic interference instructions in chronological order to generate a frequency band coordination strategy.

3. The method according to claim 2, characterized in that, Based on the active frequency band set, perform frequency band binding processing on the energy intensity of the directional interference energy signal and the adjustable interference signal to generate an interference resource allocation scheme corresponding to the active frequency bands in each time period, including: Analyze the communication signal strength and modulation characteristics of each active frequency band in the set of active frequency bands to obtain a frequency band analysis result, and determine the interference requirement parameters corresponding to each active frequency band based on the frequency band analysis result; According to the interference requirement parameters, perform a frequency band proportional allocation process on the energy intensity of the directional interference energy signal to generate an energy suppression ratio matching each active frequency band; Based on the encryption characteristics and multi-band hopping sequence in the protocol feature library, determine the frequency offset parameter and symbol rate parameter of the adjustable interference signal, and perform a frequency band matching process on the frequency offset parameter and symbol rate parameter to generate signal interference parameters corresponding to each active frequency band; Perform a priority sorting process on the energy suppression ratio and signal interference parameters according to the active frequency band to obtain a hierarchical energy allocation ratio; And continuously monitor the signal change characteristics of the multi-band hopping communication channel, and perform a dynamic weight correction process on the hierarchical energy allocation ratio and signal interference parameters according to the signal change characteristics to generate an interference resource allocation scheme.

4. The method according to claim 3, wherein Based on the encryption characteristics and multi-band hopping sequence in the protocol feature library, determine the frequency offset parameter and symbol rate parameter of the adjustable interference signal, and perform a frequency band matching process on the frequency offset parameter and symbol rate parameter to generate signal interference parameters corresponding to each active frequency band, including: Analyze the switching order and interval duration between adjacent frequency bands in the multi-band hopping sequence to determine the predicted range of the next-hop frequency band for each active frequency band, and generate a frequency offset parameter covering the predicted range; Analyze the transmission rate identifier associated with the encryption algorithm in the encryption characteristics to obtain the transmission rate range of the communication link of the target UAV group; According to the transmission rate range and the preset rate offset rule, determine the transmission rate fluctuation range of the adjustable interference signal; Based on the transmission rate fluctuation range, generate a symbol rate parameter matching the transmission rate change law of the communication link of the target UAV group; Correlate the frequency offset parameter and symbol rate parameter according to the modulation characteristics of the active frequency band to generate a frequency coverage range and signal transmission rate combination parameter corresponding to each active frequency band; Based on the frequency coverage range and signal transmission rate combination parameter, perform a frequency band binding process on the waveform parameter of the adjustable interference signal to generate a signal interference parameter matching each active frequency band.

5. The method according to claim 1, wherein Based on the encryption characteristics and multi-band hopping sequence in the protocol feature library, perform a parameter setting process on a preset interference signal to generate an adjustable interference signal, and synchronously adapt the adjustable interference signal to the specific subcarrier modulation method of the target UAV group to generate an interference injection signal, including: Analyze the encryption characteristics in the protocol feature library to determine the waveform parameter and symbol rate parameter used for modulating the signal in the communication link of the target UAV group; Analyze the multi-band hopping sequence in the protocol feature library to obtain a sequence analysis result, and extract the switching time interval and frequency offset range between adjacent frequency bands based on the sequence analysis result to generate the frequency offset parameter of the adjustable interference signal; Load the waveform parameters, symbol rate parameters, and frequency offset parameters into the generation rule of a preset interference signal to generate an adjustable interference signal compatible with the subcarrier modulation mode of the target UAV group; Monitor the active frequency band identifier of the target UAV group in real time, match the corresponding frequency offset parameters according to the active frequency band identifier, and perform dynamic adjustment processing on the symbol rate parameters to generate an interference injection signal that is synchronized in real time with the target subcarrier modulation mode.

6. The method according to claim 5, characterized in that Monitoring the active frequency band identifier of the target UAV group in real time, matching the corresponding frequency offset parameters according to the active frequency band identifier, and performing dynamic adjustment processing on the symbol rate parameters to generate an interference injection signal that is synchronized in real time with the target subcarrier modulation mode, including: Scan the communication signal frequency band range of the target UAV group, detect the signal energy peak of each frequency band, and obtain the active frequency band identifier; According to the active frequency band identifier, look up the initial values of the corresponding frequency offset parameters and symbol rate parameters from the protocol feature library; Based on the signal energy peak change rate of the active frequency band identifier, perform dynamic scaling processing on the initial value of the symbol rate parameter to generate a real-time adaptive symbol rate parameter that is synchronized and updated with the target subcarrier modulation mode; Load the frequency offset parameter and the real-time adaptive symbol rate parameter into the generation rule of the adjustable interference signal to generate an interference injection signal covering the current active frequency band.

7. The method according to claim 3, wherein Perform priority sorting processing on the energy suppression ratio and signal interference parameters according to the active frequency band to obtain a hierarchical energy allocation ratio, including: Analyze the communication signal strength and historical switching frequency of each active frequency band in the active frequency band set to obtain a frequency analysis result, and determine the interference priority level of each active frequency band based on the frequency analysis result; According to the interference priority level, perform hierarchical division processing on the energy suppression ratio to generate high, medium, and low three-level energy allocation ratios corresponding to each active frequency band; Based on the frequency offset parameter and transmission rate parameter in the signal interference parameter, perform level adaptation processing on the signal interference parameter of each active frequency band to generate a set of interference signal parameters that match the interference priority level; Perform corresponding binding processing on the three-level energy allocation ratio and the set of interference signal parameters according to the active frequency band to generate the hierarchical energy allocation ratio.

8. A wide-area suppression system for a drone swarm based on multi-band frequency hopping interference, characterized in that, Including: A protocol feature analysis module for analyzing the frequency hopping rule and encryption feature of the communication link of the target UAV group to obtain an analysis result, and constructing a protocol feature library containing multi-band frequency hopping sequences based on the analysis result; An interference energy regulation module for deploying a directional focusing antenna array, and using the multi-band frequency hopping sequence in the protocol feature library to adjust the transmission direction and energy intensity of the directional focusing antenna array in real time to generate a directional interference energy signal for concentrating on suppressing the active hot spot area of the UAV group in a wide-area coverage multi-band frequency hopping communication channel; A signal parameter adaptation module, configured to perform parameter setting processing on a preset interference signal based on the encryption features and multi-band hopping sequences in the protocol feature library, generate an adjustable interference signal, and synchronously adapt the adjustable interference signal to the specific subcarrier modulation mode of the target drone swarm to generate an interference injection signal; A frequency band coordination decision module, configured to extract the time distribution law of the multi-band hopping sequence, and perform dynamic cooperative adjustment processing on the injection frequency bands of the directional interference energy signal and the adjustable interference signal based on the time distribution law to generate a frequency band coordination strategy; A dynamic suppression execution module, configured to perform dynamic allocation processing on the frequency band allocation of the directional interference energy signal and the interference injection signal in the multi-band hopping communication channel according to the frequency band priority and time window in the frequency band coordination strategy, and generate a wide-area suppression signal for the control link of the drone swarm.

9. A computing device, characterized in that, It includes a processing component and a storage component; the storage component stores one or more computer instructions; the one or more computer instructions are used to be called and executed by the processing component to implement the method for wide-area suppression of a drone swarm based on multi-band hopping interference as described in any one of claims 1 to 7.

10. A computer storage medium, characterized in that, A computer program is stored, and when the computer program is executed by a computer, it implements the method for wide-area suppression of a drone swarm based on multi-band hopping interference as described in any one of claims 1 to 7.

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