Wide-area suppression method and system for UAV swarms based on multi-band frequency hopping jamming

Abstract

The present application provides a method and system for wide-area suppression of drone swarms based on multi-band frequency hopping interference. Among them, the frequency hopping rules and encryption features of the target drone swarm communication link are analyzed to construct a protocol feature library containing multi-band frequency hopping sequences; a directional focusing antenna array is deployed to generate a directional interference energy signal covering the multi-band frequency hopping channel in the drone swarm hotspot area; based on the encryption features and frequency hopping sequences in the protocol feature library, the preset interference signal is parameterized and the subcarrier modulation is adapted to generate an adjustable interference signal and convert it into an interference injection signal; the time distribution law of the frequency hopping sequence is extracted, the injection frequency bands of the interference energy and signal are dynamically and collaboratively adjusted to generate a frequency band coordination strategy; the interference energy and signal are dynamically allocated in multiple frequency bands to generate a wide-area suppression signal. The technical solution provided by the present application improves the blocking efficiency of the collaborative control of drone swarms in complex electromagnetic environments.

Description

Technical Field

[0001] The present application relates to the field of wireless communication countermeasure technology, and in particular to a method and system for wide-area suppression of drone swarms based on multi-band frequency hopping interference. Background Art

[0002] In complex electromagnetic confrontation environments, drone swarms widely use multi-band frequency hopping communication technology to avoid traditional interference methods. Their communication links usually have the ability to quickly switch frequency bands, perform encrypted modulation, and dynamically adjust timing.

[0003] The current mainstream targeted solution is fixed-bandwidth jamming technology, which suppresses the entire frequency band of the drone's communication link by transmitting a broadband noise signal covering the target frequency hopping bandwidth.

[0004] The defects of existing solutions are low power efficiency; fixed bandwidth interference requires allocating a large amount of power to inactive frequency bands, resulting in insufficient power spectrum density in the effective frequency band, making it difficult to cope with systems with larger frequency hopping bandwidths; lack of dynamic adaptation capability; inability to dynamically adjust the interference frequency band according to the timing rules of the frequency hopping sequence, resulting in waste of interference resources and a significant decrease in the success rate of suppressing fast frequency hopping; limited compatibility; inability to adapt to the modulation characteristics of encrypted communications (such as subcarrier parameters), resulting in mismatch between the interference signal and the target communication link, reducing suppression efficiency. Summary of the Invention

[0005] The embodiments of the present application provide a method and system for wide-area suppression of drone swarms based on multi-band frequency hopping interference, which is used to solve the problem of low blocking efficiency of collaborative control of drone swarms in complex electromagnetic environments in the prior art.

[0006] In a first aspect, an embodiment of the present application provides a method for wide-area suppression of drone swarms based on multi-band frequency hopping jamming, comprising:

[0007] Analyze the frequency hopping rules and encryption characteristics of the communication link of the target drone group to obtain analysis results, and build a protocol feature library containing multi-band frequency hopping sequences based on the analysis results;

[0008] Deploy a directional focused 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 focused antenna array in real time to generate a directional interference energy signal for the multi-band frequency hopping communication channel that is used to suppress the hot spots of drone swarm activity in a wide-area coverage manner;

[0009] Based on the encryption features and multi-band frequency hopping sequences in the protocol feature library, parameter setting processing is performed on the 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 drone group to generate an interference injection signal;

[0010] Extracting a time distribution law of the multi-band frequency hopping sequence, dynamically and collaboratively adjusting the injection frequency bands of the directional interference energy signal and the adjustable interference signal based on the time distribution law, and generating a frequency band coordination strategy;

[0011] According to the frequency band priority and time window in the frequency band coordination strategy, the frequency band allocation of the directional interference energy signal and the interference injection signal in the multi-band frequency hopping communication channel is dynamically allocated to generate a wide-area suppression signal for the drone group control link.

[0012] Optionally, extracting a time distribution pattern of the multi-band frequency hopping sequence, dynamically and collaboratively adjusting the injection frequency bands of the directional interference energy signal and the adjustable interference signal based on the time distribution pattern, and generating a frequency band coordination strategy includes:

[0013] Analyzing the switching time intervals and continuous occupancy durations between different frequency bands in the multi-band frequency hopping sequence to obtain a time analysis result, and determining an activity pattern of each frequency band in a time dimension based on the time analysis result;

[0014] Dividing the interference period of the multi-band frequency hopping communication channel into a plurality of continuous time periods according to the activity rule, and marking a corresponding active frequency band set for each time period;

[0015] Based on the encryption features and multi-band frequency hopping sequence in the protocol feature library, the waveform type, frequency offset and symbol rate of the preset interference signal are determined, modulation parameters compatible with the specific subcarrier modulation mode in the communication link of the target drone group are generated, and the modulation parameters are loaded into the preset interference signal to generate an adjustable interference signal;

[0016] 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, and generating an interference resource allocation scheme corresponding to the active frequency band in each time period;

[0017] According to the interference resource allocation scheme, the transmission direction of the directional focusing antenna array and the frequency range of the adjustable interference signal are synchronously updated to generate a dynamic interference instruction covering the active frequency band in the current time period;

[0018] The dynamic interference instructions are combined in chronological order to generate a frequency band coordination strategy.

[0019] Optionally, based on the active frequency band set, frequency band binding processing is performed 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, including:

[0020] 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 requirement parameter corresponding to each active frequency band based on the frequency band analysis result;

[0021] According to the interference requirement parameter, the energy intensity of the directional interference energy signal is distributed in frequency bands to generate an energy suppression ratio that matches each active frequency band;

[0022] Determining a frequency offset parameter and a symbol rate parameter of the adjustable interference signal based on the encryption features and the multi-band frequency hopping sequence in the protocol feature library, performing frequency band matching processing on the frequency offset parameter and the symbol rate parameter, and generating a signal interference parameter corresponding to each active frequency band;

[0023] Prioritizing the energy suppression ratio and the signal interference parameter according to the active frequency band to obtain a hierarchical energy allocation ratio;

[0024] The signal change characteristics of the multi-band frequency hopping communication channel are monitored in real time, and dynamic weight correction processing is performed on the hierarchical energy allocation ratio and signal interference parameters according to the signal change characteristics to generate an interference resource allocation plan.

[0025] Optionally, based on the encryption features and the multi-band frequency hopping sequence in the protocol feature library, determining a frequency offset parameter and a symbol rate parameter of the adjustable interference signal, performing frequency band matching processing on the frequency offset parameter and the symbol rate parameter, and generating a signal interference parameter corresponding to each active frequency band, including:

[0026] Analyzing the switching order and interval duration of adjacent frequency bands in the multi-band frequency hopping sequence, determining a predicted range of the next hopping frequency band for each active frequency band, and generating a frequency offset parameter covering the predicted range;

[0027] Parsing a transmission rate identifier associated with the encryption algorithm in the encryption feature to obtain a transmission rate range of the target drone swarm communication link;

[0028] Determining a transmission rate fluctuation interval of the adjustable interference signal according to the transmission rate range and a preset rate offset rule;

[0029] Based on the transmission rate fluctuation interval, a symbol rate parameter is generated that matches the transmission rate variation pattern of the target UAV swarm communication link;

[0030] Correlating the frequency offset parameter with the symbol rate parameter according to the modulation characteristics of the active frequency bands to generate a frequency coverage range and signal transmission rate combination parameter corresponding to each active frequency band;

[0031] Based on the frequency coverage range and signal transmission rate combination parameters, frequency band binding processing is performed on the waveform parameters of the adjustable interference signal to generate signal interference parameters that match each active frequency band.

[0032] Optionally, based on the encryption features and multi-band frequency hopping sequence in the protocol feature library, parameter setting processing is performed on the preset interference signal to generate an adjustable interference signal, and the adjustable interference signal and the specific subcarrier modulation mode of the target drone group are synchronously adapted to generate an interference injection signal, including:

[0033] Parsing the encryption features in the protocol feature library to determine waveform parameters and symbol rate parameters used for modulation signals in the target UAV swarm communication link;

[0034] Analyzing the multi-band frequency hopping sequence in the protocol feature library to obtain a sequence analysis result, extracting the switching time interval and frequency offset range between adjacent frequency bands based on the sequence analysis result, and generating the frequency offset parameter of the adjustable interference signal;

[0035] The waveform parameters, symbol rate parameters, and frequency offset parameters are loaded into a preset interference signal generation rule to generate an adjustable interference signal that is compatible with the subcarrier modulation mode of the target drone group;

[0036] The active frequency band identifiers of the target drone group are monitored in real time, the corresponding frequency offset parameters are matched according to the active frequency band identifiers, and the symbol rate parameters are dynamically adjusted to generate an interference injection signal that is synchronized with the target subcarrier modulation mode in real time.

[0037] Optionally, the active frequency band identifier of the target drone group is monitored in real time, a corresponding frequency offset parameter is matched according to the active frequency band identifier, and the symbol rate parameter is dynamically adjusted to generate an interference injection signal synchronized with the target subcarrier modulation mode in real time, including:

[0038] Scan the communication signal frequency band range of the target drone group, detect the signal energy peak of each frequency band, and obtain the active frequency band identification;

[0039] According to the active frequency band identifier, searching for initial values of corresponding frequency offset parameters and symbol rate parameters from the protocol signature library;

[0040] Dynamically scaling the initial value of the symbol rate parameter based on the signal energy peak change rate of the active frequency band identifier to generate a real-time adaptive symbol rate parameter that is updated synchronously with the target subcarrier modulation mode;

[0041] The frequency offset parameter and the real-time adaptive symbol rate parameter are loaded into the generation rule of the adjustable interference signal to generate an interference injection signal covering the current active frequency band.

[0042] Optionally, the energy suppression ratio and the signal interference parameter are prioritized according to active frequency bands to obtain a hierarchical energy allocation ratio, including:

[0043] 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;

[0044] According to the interference priority level, the energy suppression ratio is graded to generate high, medium and low energy allocation ratios corresponding to each active frequency band;

[0045] Based on the frequency offset parameter and the transmission rate parameter in the signal interference parameters, performing level adaptation processing on the signal interference parameters of each active frequency band to generate an interference signal parameter set that matches the interference priority level;

[0046] The three-level energy allocation ratio and the interference signal parameter set are correspondingly bound according to the active frequency band to generate the hierarchical energy allocation ratio.

[0047] In a second aspect, an embodiment of the present application provides a drone swarm wide-area suppression system based on multi-band frequency hopping jamming, comprising:

[0048] A protocol feature analysis module is used to analyze the frequency hopping rules and encryption features of the communication link of the target drone group, obtain analysis results, and build a protocol feature library containing multi-band frequency hopping sequences based on the analysis results;

[0049] An interference energy control module is used 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 to generate a directional interference energy signal for the multi-band frequency hopping communication channel to suppress the hot spots of drone swarm activity in a wide-area coverage manner;

[0050] A signal parameter adaptation module is used to perform parameter setting processing on a preset interference signal based on the encryption features 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 subcarrier modulation mode of the target drone group to generate an interference injection signal;

[0051] a frequency band coordination decision module, configured to extract a time distribution pattern of the multi-band frequency hopping sequence, dynamically and collaboratively adjust the injection frequency bands of the directional interference energy signal and the adjustable interference signal based on the time distribution pattern, and generate a frequency band coordination strategy;

[0052] The dynamic suppression execution module is used to dynamically allocate the frequency bands 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 drone group control link.

[0053] In a third aspect, an embodiment of the present application provides a computing device comprising 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 wide-area suppression method of drone swarms based on multi-band frequency hopping interference as described in the first aspect above.

[0054] In a fourth aspect, an embodiment of the present application provides a computer storage medium storing a computer program. When the computer program is executed by a computer, the method for wide-area suppression of drone swarms based on multi-band frequency hopping interference as described in the first aspect is implemented.

[0055] In the embodiment of the present application, the frequency hopping rules and encryption features of the communication link of the target drone group are analyzed to obtain analysis results, and a protocol feature library containing multi-band frequency hopping sequences is constructed based on the analysis results; a directional focusing antenna array is deployed, and the multi-band frequency hopping sequences in the protocol feature library are used to adjust the transmission direction and energy intensity of the directional focusing antenna array in real time to generate a directional interference energy signal of the multi-band frequency hopping communication channel that concentrates on suppressing the hot spots of drone group activities under wide area coverage; based on the encryption features and multi-band frequency hopping sequences in the protocol feature library, the preset interference signal is parameterized and processed to generate an interference signal that can be Adjust the interference signal, and synchronously adapt the adjustable interference signal and the specific subcarrier modulation mode of the target drone group to generate an interference injection signal; extract the time distribution law of the multi-band frequency hopping sequence, and dynamically and collaboratively adjust 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, dynamically allocate the frequency bands 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 drone group control link.

[0056] The technical solution of the present application has the following beneficial effects: by analyzing the frequency hopping rules and encryption features, extracting the multi-band frequency hopping sequence and modulation parameters, providing a data basis for interference signal generation and resource allocation, and supporting dynamic adaptive frequency hopping behavior. Based on the frequency hopping sequence, the antenna direction and energy intensity are dynamically adjusted to achieve concentrated suppression of the multi-band communication channels in hot spots in a wide area by interference energy, thereby improving power utilization. By matching the target subcarrier modulation mode (such as QPSK / OFDM), an interference signal compatible with the legitimate signal waveform is generated, which destroys the communication synchronization mechanism and reduces the signal resolvability. Based on the frequency hopping timing law, the energy and signal injection bands are dynamically coordinated to avoid wasting interference resources in inactive periods and achieve timing alignment of multi-band interference actions. Interference resources are dynamically allocated according to the frequency band priority and time window to ensure that the suppression signal remains effective during the active period of the multi-band frequency hopping channel, blocking the collaborative control link of the drone group.

[0057] Furthermore, the method for generating the frequency band coordination strategy includes: analyzing the switching time interval and continuous occupancy time of the frequency hopping sequence to determine the activity pattern of each frequency band; dividing the interference time period and marking the active frequency band set; generating the modulation parameters of the adjustable interference signal based on the encryption characteristics and the frequency hopping sequence; binding the energy intensity and signal parameters to generate the interference resource allocation plan; generating dynamic interference instructions and combining them into a coordination strategy according to time.

[0058] Through timing analysis and dynamic parameter binding, frequency-band-time two-dimensional adaptation of interference energy and signals 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.

[0059] These and other aspects of the present application will become more readily apparent from the description of the following embodiments. BRIEF DESCRIPTION OF THE DRAWINGS

[0060] In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, a brief introduction will be given below to the drawings required for use in the embodiments or the description of the prior art. Obviously, the drawings described below are some embodiments of the present application. For ordinary technicians in this field, other drawings can be obtained based on these drawings without any creative work.

[0061] Figure 1 The flowchart of the method for wide-area suppression of drone swarms based on multi-band frequency hopping interference provided by the present application is shown;

[0062] Figure 2 The schematic diagram of the structure of the UAV swarm wide-area suppression system based on multi-band frequency hopping jamming provided by the present application is shown;

[0063] Figure 3A schematic structural diagram of a computing device provided by the present application is shown. DETAILED DESCRIPTION

[0064] In order to enable those skilled in the art to better understand the solution of the present application, the technical solution in the embodiments of the present application will be clearly and completely described below in conjunction with the drawings in the embodiments of the present application.

[0065] In some of the processes described in the specification and claims of this application and the above-mentioned figures, multiple operations that appear in a specific order are included, but it should be clearly understood that these operations may not be executed in the order in which they appear in this document or may be executed in parallel. The serial numbers of the operations, such as 101, 102, etc., are only used to distinguish between different operations, and the serial numbers themselves do not represent any order of execution. 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 of "first", "second", etc. in this document are used to distinguish different messages, devices, modules, etc., and do not represent a sequential order, nor do they limit "first" and "second" to being different types.

[0066] Researchers have discovered that existing jamming technologies have significant flaws when dealing with drone swarms using encrypted frequency-hopping communications: fixed-bandwidth jamming patterns cannot dynamically adapt to fast frequency-hopping sequences, resulting in energy dispersion; lack of compatibility with encrypted modulation characteristics causes jamming signal mismatch; and insufficient wide-area coverage makes it difficult to simultaneously suppress multi-band collaborative communications. Based on this, a wide-area suppression method for drone swarms based on multi-band frequency-hopping jamming is proposed. This method achieves precise blocking of encrypted frequency-hopping communication links through frequency-hopping pattern analysis, dynamic binding of jamming resources, and coordinated timing control.

[0067] The technical solution of this application can be applied to drone swarm suppression scenarios that use encrypted frequency hopping communications such as AES / QPSK, and is particularly suitable for security fields such as border patrols and protection of important facilities that require countering highly dynamic multi-band drone formations.

[0068] The following will be combined with the drawings in the embodiments of this application to clearly and completely describe the technical solutions in the embodiments of this application. Obviously, the embodiments described are only part of the embodiments of this application, not all of the embodiments. Based on the embodiments in this application, all other embodiments obtained by those skilled in the art without making creative efforts are within the scope of protection of this application.

[0069] Figure 1 The present invention provides a flowchart of a method for suppressing a drone group over a wide area based on multi-band frequency hopping interference, as shown in FIG. Figure 1 As shown, the method includes:

[0070] 101. Analyze the frequency hopping rules and encryption features of the communication link of the target drone group to obtain analysis results, and construct a protocol feature library containing multi-band frequency hopping sequences based on the analysis results;

[0071] In this step, the frequency hopping rule refers to the order, time interval and duration of switching between different frequency bands when the drone group communicates. For example, the frequency bands F1→F3→F5 are switched every 100ms, and each time lasts 50ms.

[0072] Encryption characteristics refer to the algorithm identifier (such as AES-256), key length (such as 128 bits), and modulation constraints (such as the symbol rate of 1 Mbps for QPSK modulation) used for data encryption in the communication link.

[0073] The protocol feature library refers to a structured database that stores frequency hopping rules and encryption features, which is used to guide interference signal generation and frequency band allocation.

[0074] In an embodiment of the present application, first, by intercepting the communication data packets of the target drone group, the frequency band number, switching timestamp and encryption identification field in the protocol header in its frequency hopping switching record are extracted; secondly, the frequency band switching sequence (such as F1→F3→F5) and interval duration (such as 100ms) of the frequency hopping switching record are counted to construct a frequency hopping sequence model; then, the encryption identification field is parsed to identify the encryption algorithm type (such as AES-256) and the associated modulation parameters (such as the symbol rate of QPSK modulation 1Mbps); finally, the frequency hopping sequence model and the encryption features are integrated into a protocol feature library for subsequent calls.

[0075] In one real-world case, during a border patrol, the system intercepted communication data from a drone swarm, parsed the frequency hopping sequence F1→F3→F5 (with an 80ms interval) and AES-128 encryption signature, and constructed a protocol signature library. This library was subsequently used to guide jamming signal generation and frequency band allocation.

[0076] 102. Deploy a directional focused antenna array and, using the multi-band frequency hopping sequence in the protocol feature library, adjust the transmission direction and energy intensity of the directional focused antenna array in real time to generate a directional jamming energy signal for the multi-band frequency hopping communication channel that is used to suppress drone swarm activity hotspots in a wide-area coverage manner;

[0077] In this step, the directional focusing antenna array refers to an array composed of multiple antenna units, which concentrates energy in a specific direction by adjusting the transmission phase.

[0078] Energy intensity refers to the power density of electromagnetic waves emitted by the antenna array, with the unit of W / m².

[0079] In an embodiment of the present application, first, a directional focusing antenna array is deployed in the suppression area, and the transmission direction (such as 0° azimuth) and energy intensity (such as 10W) are initialized; secondly, a frequency hopping sequence (such as F1→F3→F5) is read from the protocol feature library, and the active frequency band (such as F3) is predicted according to the current timestamp; then, the target azimuth angle (such as 30°) corresponding to the active frequency band F3 is calculated, and the antenna array phase is adjusted to steer the beam 30°, and the energy intensity is increased to 15W; finally, a directional interference energy signal covering the F3 frequency band is generated to suppress communications in this frequency band.

[0080] Continuing with the above example, when a swarm of drones communicates using the F3 frequency band in the X, Y coordinate area, the system predicts that F3 is the currently active frequency band based on the protocol feature library, controls the antenna array to turn 30°, and increases the power to 15W, continuously suppressing communications in this area.

[0081] 103. Based on the encryption features and multi-band frequency hopping sequence in the protocol feature library, parameter setting processing is performed on the 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 drone group to generate an interference injection signal;

[0082] In this step, the adjustable interference signal refers to a preset reference signal (such as white noise), which is adapted to the target communication characteristics by loading parameters.

[0083] The interference injection signal refers to the interference signal with adjusted parameters, which is used to destroy the target communication synchronization mechanism.

[0084] In an embodiment of the present application, first, encryption features (such as the symbol rate of QPSK modulation of 1Mbps) and frequency hopping sequences (such as F1→F3→F5) are extracted from the protocol feature library; secondly, frequency offset parameters covering ±20MHz are generated based on the difference between adjacent frequency bands in the frequency hopping sequence (such as F3-F1=20MHz); then, the frequency offset parameters and symbol rate parameters (1Mbps) are loaded into a preset interference signal to generate an adjustable interference signal; finally, the waveform of the adjustable interference signal (such as a QPSK modulated pulse) is adjusted to match the waveform of the target communication signal to generate an interference injection signal.

[0085] Continuing with the above example, for the QPSK modulation communication of the target drone group, the system generates an interference signal with a frequency offset of ±20MHz and a symbol rate of 1Mbps, disguised as a legitimate signal and injected into the F3 frequency band, causing synchronization disorder at the target receiving end.

[0086] 104. Extract a time distribution pattern of the multi-band frequency hopping sequence, and dynamically coordinate and adjust the injection frequency bands of the directional interference energy signal and the adjustable interference signal based on the time distribution pattern to generate a frequency band coordination strategy;

[0087] In this step, the time distribution pattern refers to the distribution of active periods of each frequency band in the frequency hopping sequence, for example, F3 is activated from 0 to 50 ms in every 100 ms period.

[0088] The frequency band coordination strategy refers to a set of instructions that defines the frequency band allocation priority and time window for interference energy and signals.

[0089] In an embodiment of the present application, first, the time distribution of the frequency hopping sequence in the protocol feature library is statistically analyzed (e.g., F3 is activated once every 100ms and lasts for 50ms); secondly, the suppression period is divided into multiple time periods (e.g., each 100ms is a period), and the active frequency band in each time period is marked (e.g., 0-50ms is F3, 50-100ms is F5); then, high-energy suppression (15W) and wide frequency offset interference signals (±20MHz) are allocated to the F3 time period, and medium energy (10W) and narrow frequency offset (±10MHz) are allocated to the F5 time period; finally, a frequency band coordination strategy table is output to define the interference parameters for each time period.

[0090] Continuing with the above example, when the target drone swarm switches to the F5 frequency band, the system reduces the antenna energy to 10W within a 50-100ms period according to the strategy table, adjusts the interference signal frequency offset to ±10MHz, and continuously suppresses F5 communications.

[0091] 105. According to the frequency band priority and time window in the frequency band coordination strategy, the frequency band allocation of the directional interference energy signal and the interference injection signal in the multi-band frequency hopping communication channel is dynamically allocated to generate a wide-area suppression signal for the drone group control link.

[0092] In this step, the frequency band priority refers to the level of interference resource allocation based on the importance of active frequency bands (e.g., F3 is a high priority).

[0093] The time window refers to the start and end time of the interference action execution (such as 0-50ms to suppress F3, 50-100ms to suppress F5).

[0094] In an embodiment of the present application, first, the priority (such as F3 high priority) and time window (such as 0-50ms) in the frequency band coordination strategy are read; secondly, within the high priority time period (0-50ms), 70% of the interference energy is allocated to the F3 frequency band, and the matching interference signal is injected synchronously; then, within the 50-100ms time period, it switches to the F5 frequency band, and allocates the remaining 30% of the energy and the narrow frequency offset interference signal; finally, a wide-area suppression signal covering multiple frequency bands is generated to continuously interfere with the target control link.

[0095] Continuing with the above example, during the suppression period of 9:00-9:05, the system suppressed the F3 frequency band in 0-50ms and the F5 frequency band in 50-100ms according to the strategy table, completely blocking the communication link between the drone swarm and the control station.

[0096] In summary, steps 101 to 105 construct a signature library through protocol reverse analysis, dynamically adjust interference energy and signal parameters, and combine timing coordination strategies to achieve precise suppression of multi-band frequency-hopping communications. Directed energy covers wide-area hotspots, while the interference signal adapts to the target modulation scheme. The two are dynamically allocated according to the frequency-hopping pattern, significantly reducing the stability of drone swarm communications and effectively disrupting their collaborative control capabilities.

[0097] In order to solve the dynamic adaptation problem of drone group communication suppression in the multi-band frequency hopping interference scenario, in some embodiments, in step 104, the time distribution pattern of the multi-band frequency hopping sequence is extracted, and the injection frequency bands of the directional interference energy signal and the adjustable interference signal are dynamically coordinated and adjusted based on the time distribution pattern to generate a frequency band coordination strategy, including:

[0098] 201. Analyze the switching time intervals and continuous occupancy durations between different frequency bands in the multi-band frequency hopping sequence to obtain a time analysis result, and determine an activity pattern of each frequency band in a time dimension based on the time analysis result;

[0099] In step 201, the switching time interval refers to the time interval required for the target drone group to switch from one frequency band to the next frequency band (for example, it takes 10ms to switch from frequency band F1 to F3).

[0100] The continuous occupation duration refers to the duration of continuous communication of the target drone group on a single frequency band (for example, frequency band F3 is occupied for 50ms each time).

[0101] The activity pattern refers to the frequency band activation cycle, frequency, and time period distribution characteristics obtained based on the switching time interval and continuous occupation time (for example, F3 is activated once every 100ms and each time lasts 50ms).

[0102] In an embodiment of the present application, first, a multi-band frequency hopping sequence is extracted from a protocol feature library, and the switching timestamp of each frequency band is recorded (for example, F1 is activated at 0ms and F3 is activated at 10ms); secondly, the time interval for switching adjacent frequency bands (for example, F1→F3 is 10ms apart) and the continuous occupation time of each frequency band (for example, F3 occupies 50ms) are calculated; then, the activation period of each frequency band on the time axis (for example, F3 appears once every 100ms) and the frequency weight (for example, F3 accounts for 50% of the total communication time) are counted; finally, a frequency band activity rule table is generated, clearly marking the activation time window of each frequency band (for example, F3 is activated in the time period of 0-50ms, 100-150ms, etc.) and the priority level.

[0103] 202. Divide the interference period of the multi-band frequency hopping communication channel into a plurality of continuous time periods according to the activity rule, and mark a corresponding active frequency band set for each time period;

[0104] In step 202 , the interference period refers to dividing the suppression period into a plurality of consecutive time periods (eg, each 100 ms is a time period) according to an activity rule.

[0105] The active frequency band set refers to the list of frequency bands that need to be suppressed in each interference period (for example, the period 0-50ms corresponds to the frequency band F3, and the period 50-100ms corresponds to the frequency band F5).

[0106] In an embodiment of the present application, first, based on the frequency band activity rule table generated in step 201 (for example, F3 is activated once every 100ms), the maximum frequency hopping period (100ms) is determined; secondly, the suppression period is divided into multiple continuous time periods (for example, 0-50ms, 50-100ms) according to the period; then, the current active frequency band is marked in each time period (for example, 0-50ms is F3, 50-100ms is F5); finally, a mapping relationship table between the interference period and the active frequency band is generated to clarify the target frequency band to be suppressed in each time period.

[0107] 203. Based on the encryption features and multi-band frequency 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 mode in the target drone swarm communication link, and load the modulation parameters into the preset interference signal to generate an adjustable interference signal;

[0108] In step 203 , the waveform type refers to the waveform form of the interference signal (eg, continuous wave, pulse wave).

[0109] Frequency offset refers to the frequency offset range of the interference signal relative to the target frequency band (for example, ±20MHz).

[0110] The symbol rate refers to the number of symbols transmitted per second by the interfering signal (for example, 1M symbols / second).

[0111] The modulation parameters refer to a set of interference signal parameters that are compatible with the subcarrier modulation mode (for example, QPSK) of the target communication link.

[0112] In an embodiment of the present application, first, encryption features (for example, encryption algorithm identifier AES-128) and frequency hopping sequences (for example, F1→F3→F5) are extracted from a protocol feature library; secondly, the modulation constraints of the target communication link (for example, AES-128 encryption-associated QPSK modulation, with a symbol rate of 1Mbps) are inferred based on the encryption features; then, based on the difference between adjacent frequency bands in the frequency hopping sequence (for example, F3-F1=20MHz), the frequency offset covering the target hopping range is calculated (for example, ±20MHz); finally, the waveform type (for example, pulse wave), frequency offset (±20MHz) and symbol rate (1Mbps) are loaded into a preset interference signal (for example, white noise) to generate an adjustable interference signal.

[0113] 204. 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;

[0114] In step 204, the interference resource allocation scheme refers to a mapping table of energy suppression ratios allocated to active frequency bands in each time period and signal interference parameters (eg, 70% energy is allocated in the F3 period, with a frequency offset of ±20 MHz).

[0115] In an embodiment of the present application, first, based on the active frequency band set generated in step 202 (for example, 0-50ms corresponds to F3), the communication signal strength (for example, high signal strength) and modulation characteristics (for example, QPSK) of the frequency band are extracted; secondly, the energy suppression ratio is determined according to the signal strength (for example, F3 allocates 70% energy), and the signal interference parameters are matched according to the modulation characteristics (for example, frequency offset ±20MHz, symbol rate 1Mbps); then, the energy suppression ratio and the signal interference parameters are bound to the frequency band (for example, F3 binds 70% energy and ±20MHz offset); finally, an interference resource allocation plan table is generated to clarify the interference parameter combination of the frequency band in each time period.

[0116] 205. According to the interference resource allocation scheme, synchronously update 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 band in the current time period;

[0117] In step 205, the dynamic interference instruction refers to an operating instruction set for controlling the directional focusing antenna array and the interference signal generator (for example, adjusting the antenna direction to 30° and setting the interference signal frequency to F3±20 MHz).

[0118] In an embodiment of the present application, first, the interference resource allocation scheme generated by step 204 is analyzed (for example, 70% energy and ±20MHz offset are allocated in the F3 period); secondly, according to the spatial position of the active frequency band F3 (for example, an azimuth angle of 30°), the transmission direction of the directional focusing antenna array is adjusted to 30°, and the energy intensity is increased to a preset value (for example, 15W); then, the frequency range (for example, F3±20MHz) and symbol rate (for example, 1Mbps) of the adjustable interference signal are configured; finally, a dynamic interference instruction is generated, including real-time control commands for antenna direction, energy intensity and signal parameters.

[0119] 206. Combine the dynamic interference instructions in chronological order to generate a frequency band coordination strategy.

[0120] In step 206, the frequency band coordination strategy refers to a set of dynamic interference instructions arranged in time sequence, which is used to guide the continuous suppression of the multi-band frequency hopping communication channel (for example, instruction A is executed during time period 0-50ms, and instruction B is executed during time period 50-100ms).

[0121] In an embodiment of the present application, first, the dynamic interference instructions generated in step 205 are arranged in time period order (for example, the F3 suppression instruction is executed from 0 to 50 ms, and the F5 suppression instruction is executed from 50 to 100 ms); secondly, the synchronization between the timestamps of the instructions in each time period and the frequency band switching action is calibrated (for example, ensuring that the F5 suppression instruction takes effect immediately at 50 ms); finally, all instructions are integrated to generate a frequency band coordination strategy table as the basis for the execution of wide area suppression.

[0122] Here's a specific example:

[0123] In border patrol missions, the target drone swarm uses multi-band frequency hopping communication (bands F3 and F5, with a switching period of 100ms). The system generates a frequency coordination strategy according to the following process:

[0124] First, the frequency hopping sequence is extracted based on the protocol feature library. Analysis shows that F3 is activated once every 100ms and lasts for 50ms, and F5 is activated in the remaining 50ms. A frequency band activity regularity table is generated (step 201). Next, the suppression period is divided into two continuous interference periods: 0-50ms (F3 active) and 50-100ms (F5 active), and the corresponding active frequency band sets are marked (step 202). Subsequently, based on the encryption characteristics of F3 (QPSK modulation, symbol rate 1Mbps) and the frequency hopping sequence difference (F3-F1=20MHz), an adjustable interference signal with a frequency offset of ±20MHz and a symbol rate of 1Mbps is generated (step 203). Then, 7 0% directional interference energy (15W) is bound to the ±20MHz frequency offset parameter, and 30% energy (10W) is allocated to the F5 period and bound to the ±10MHz frequency offset parameter to form an interference resource allocation plan (step 204). Then, in 0-50ms, the directional focusing antenna array is adjusted to point to a 30° azimuth angle and inject an F3±20MHz interference signal. In 50-100ms, it switches to a 45° azimuth angle and injects an F5±10MHz interference signal to generate a dynamic interference instruction (step 205). Finally, the instructions are integrated in chronological order to form a frequency band coordination strategy table to ensure that the suppression action is strictly synchronized with the frequency hopping switching, and the communication link between the drone group and the control station is blocked throughout the process (step 206).

[0125] In summary, steps 201 to 206 achieve precise suppression of multi-band frequency-hopping communications by dynamically analyzing frequency-hopping patterns, dividing interference time periods, binding interference resources, and generating real-time commands. Interference energy and signal parameters are dynamically adapted according to the frequency band activity patterns. Directional antennas work in synergy with interference signals, effectively covering the wide-area communication links of rapidly hopping drone swarms, significantly reducing their communication stability and collaborative control capabilities.

[0126] In order to solve the problem of insufficient dynamic adaptation of interference resources in a multi-band frequency hopping interference scenario, in some embodiments, in step 204, based on the active frequency band set, the energy intensity of the directional interference energy signal and the adjustable interference signal are subjected to frequency band binding processing to generate an interference resource allocation scheme corresponding to the active frequency band in each time period, including:

[0127] 301. 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 an interference requirement parameter corresponding to each active frequency band based on the frequency band analysis result;

[0128] In step 301 , the communication signal strength refers to the signal power level of the target drone group on the active frequency band (for example, the signal strength of frequency band F3 is -60 dBm).

[0129] Modulation characteristics refer to the modulation type (e.g., QPSK) and symbol rate (e.g., 1Mbps) of the communication signal in the active frequency band.

[0130] Interference requirement parameters refer to the frequency band suppression requirements determined based on signal strength and modulation characteristics, including the required energy intensity level (such as high / medium / low) and the signal interference parameter type (such as frequency offset range).

[0131] In an embodiment of the present application, first, the communication signals of each frequency band (such as F3 and F5) in the active frequency band set are collected in real time, the signal strength is measured, and the modulation type (such as QPSK) and symbol rate (1Mbps) are analyzed; secondly, the suppression difficulty is judged according to the signal strength (for example, a signal strength of -60dBm requires high-energy suppression), and the interference signal parameter type is determined according to the modulation characteristics (for example, QPSK needs to match a symbol rate of 1Mbps); finally, an interference requirement parameter table is generated, marking the required energy level and signal parameter type for each frequency band.

[0132] 302. Perform frequency band proportional distribution processing on the energy intensity of the directional interference energy signal according to the interference requirement parameter to generate an energy suppression ratio that matches each active frequency band;

[0133] In step 302 , the frequency band proportional allocation process is to allocate the total interference energy to different frequency bands in proportion according to the interference demand parameter (eg, 70% of the energy is allocated to the high demand frequency band).

[0134] The energy suppression ratio refers to the proportion of energy allocated to each frequency band to the total energy (for example, F3 is allocated 70% and F5 is allocated 30%).

[0135] In the embodiment of the present application, first, the interference demand parameter table generated in step 301 is read (for example, F3 requires high energy suppression); secondly, according to the preset energy allocation rule (such as 70% energy is allocated to the high-demand frequency band), the energy ratio of each frequency band is calculated (for example, F3: 70%, F5: 30%); then, the total energy (for example, 20W) is split proportionally (F3 is allocated 14W, F5 is allocated 6W); finally, an energy suppression ratio table is generated to clarify the energy allocation value of each frequency band.

[0136] 303. Determine a frequency offset parameter and a symbol rate parameter of the adjustable interference signal based on the encryption feature and the multi-band frequency hopping sequence in the protocol feature library, perform frequency band matching processing on the frequency offset parameter and the symbol rate parameter, and generate a signal interference parameter corresponding to each active frequency band;

[0137] In step 303, the frequency offset parameter refers to the frequency offset range of the interference signal relative to the target frequency band (eg, F3±20 MHz).

[0138] The symbol rate parameter refers to the symbol transmission rate (e.g. 1 Mbps) at which the interference signal matches the target communication.

[0139] In an embodiment of the present application, first, the frequency hopping sequence (e.g., F1→F3→F5) and encryption features (e.g., QPSK modulation) of the target frequency band are extracted from the protocol feature library; secondly, the frequency offset parameter (±20MHz) is generated according to the difference between adjacent frequency bands in the frequency hopping sequence (e.g., F3-F1=20MHz), and the symbol rate parameter (1Mbps) is parsed according to the encryption feature; then, the parameters are loaded into a preset interference signal (e.g., white noise) to generate an adjustable interference signal; finally, the parameters are bound according to the frequency band (e.g., F3 is bound to a ±20MHz offset and a 1Mbps rate) to form a signal interference parameter table.

[0140] 304. Prioritize the energy suppression ratio and the signal interference parameter according to the active frequency band to obtain a hierarchical energy allocation ratio;

[0141] In step 304, the priority sorting process refers to sorting the energy suppression ratio and the signal interference parameter according to the importance of the frequency band (for example, resources are allocated first to the high-priority frequency band).

[0142] The hierarchical energy allocation ratio refers to the energy allocation ratio divided by priority (for example, 70% for high-priority frequency bands and 30% for medium-priority frequency bands).

[0143] In an embodiment 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, -60dBm), the priority weight of each frequency band is calculated (for example, F3 weight 0.7, F5 weight 0.3); secondly, the energy suppression ratio (output of step 302) and the signal interference parameter (output of step 303) are sorted according to the weight (for example, F3 ranks first); then, a hierarchical energy allocation ratio is generated (for example, F3: 70% energy + wide frequency offset, F5: 30% energy + narrow frequency offset).

[0144] 305. Monitor the signal change characteristics of the multi-band frequency hopping communication channel in real time, perform dynamic weight correction processing on the hierarchical energy allocation ratio and signal interference parameters according to the signal change characteristics, and generate an interference resource allocation plan.

[0145] In step 305 , the signal change feature refers to a real-time state change of the target communication frequency band (eg, activation of a new frequency band, sudden change in signal strength).

[0146] Dynamic weight correction processing refers to adjusting the resource allocation ratio after priority sorting based on real-time monitoring results.

[0147] In an embodiment of the present application, first, the multi-band frequency hopping communication channel is monitored in real time to detect signal change characteristics (for example, the F5 signal strength suddenly increases to -50dBm); second, the initial hierarchical energy allocation ratio is compared (step 304 output), and the priority weights of the affected frequency bands are recalculated (for example, the F5 weight is increased from 0.3 to 0.5); then, the energy ratio is redistributed according to the new weight (for example, F3: 50%, F5: 50%) and the signal interference parameters are adjusted (for example, the F5 frequency offset is expanded to ±15MHz); finally, an interference resource allocation plan table is generated.

[0148] Here's a specific example:

[0149] In an urban security scenario, a swarm of target drones communicates by frequency hopping between frequency bands F3 (QPSK modulation, signal strength -60dBm) and F5 (FSK modulation, signal strength -70dBm). The system generates an interference resource allocation plan according to the following process:

[0150] In step 301, the communication signals of F3 and F5 are collected in real time, and the modulation characteristics of F3 are analyzed as QPSK (symbol rate 1Mbps) and F5 as FSK (symbol rate 500Kbps). Combined with 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 20W is proportionally distributed according to the requirement parameters (14W for F3 and 6W for F5), forming an energy suppression ratio table; in step 303, the frequency offset corresponding to F3 is generated based on the frequency hopping sequence (F3-F1=20MHz) and encryption characteristics (QPSK / FSK) in the protocol feature library. ±20MHz, 1Mbps symbol rate, and F5's ±10MHz, 500Kbps are bound to the adjustable interference signal. Step 304 assigns high priority (weight 0.7) to F3 based on its high-frequency switching characteristics (100 times per hour), generating a hierarchical energy allocation table (F3: 70% energy + wide offset, F5: 30% energy + narrow offset). Step 305 monitors a sudden increase in F5 signal strength to -50dBm in real time, recalculates the priority weights (F3: 0.5, F5: 0.5), dynamically adjusts energy allocation (10W each), and expands the F5 frequency offset to ±15MHz. This ultimately generates an updated interference resource allocation plan. This plan synchronously controls the directional antenna direction and interference signal parameters, injecting ±20MHz interference at a 30° azimuth during the F3 period and ±15MHz interference at a 45° azimuth during the F5 period, completely suppressing the drone swarm's communication link.

[0151] In summary, steps 301 to 305 achieve precise adaptive suppression of multi-band frequency hopping communications by dynamically analyzing frequency band characteristics, allocating energy ratios, generating interference parameters, and adjusting weights in real time. Interference resources are dynamically adjusted based on frequency band priority and real-time status. Energy suppression and signal deception work together to significantly improve interference efficiency and stability in complex frequency hopping scenarios.

[0152] In order to further improve the dynamic adaptation accuracy of the multi-band frequency hopping interference signal, in some embodiments, in step 303, based on the encryption features in the protocol feature library and the multi-band frequency hopping sequence, the frequency offset parameter and the symbol rate parameter of the adjustable interference signal are determined, and the frequency offset parameter and the symbol rate parameter are subjected to frequency band matching processing to generate the signal interference parameters corresponding to each active frequency band, including:

[0153] 401. Analyze the switching order and interval duration of adjacent frequency bands in the multi-band frequency hopping sequence, determine a predicted range of the next hopping frequency band for each active frequency band, and generate a frequency offset parameter covering the predicted range;

[0154] In step 401, the next hop frequency band prediction range refers to the frequency band range that may be used by the target drone group in the next hop based on 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 50ms, the next hop may cover F3±20MHz).

[0155] The frequency offset parameter refers to the frequency offset range of the interference signal relative to the currently active frequency band (for example, ±20 MHz).

[0156] In an embodiment of the present application, first, a multi-band frequency hopping sequence (for example, F1→F3→F5) is extracted from a protocol feature library, and the switching order (F1→F3→F5) and interval duration (for example, the interval between F1 and F3 is 50ms) of adjacent frequency bands are analyzed; secondly, the frequency difference between adjacent frequency bands is calculated according to the switching order (for example, F3-F1=20MHz), and the frequency range that may be covered by the next hopping frequency band is predicted (for example, F3±20MHz); finally, a frequency offset parameter covering the predicted range is generated (for example, ±20MHz).

[0157] 402. Parse the transmission rate identifier associated with the encryption algorithm in the encryption feature to obtain the transmission rate range of the target drone group communication link;

[0158] In step 402, the transmission rate identifier refers to a 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).

[0159] The transmission rate range refers to the symbol rate fluctuation range supported by the target drone swarm communication link (for example, 1Mbps±10%).

[0160] In an embodiment of the present application, first, encryption features (such as the encryption algorithm identifier AES-128) are extracted from the protocol feature library; second, according to the preset mapping rules between the encryption algorithm and the symbol rate (for example, AES-128 corresponds to 1Mbps), the transmission rate baseline value (1Mbps) and the allowable fluctuation range (±10%) of the target drone group are analyzed; finally, the transmission rate range is determined to be 0.9~1.1Mbps.

[0161] 403. Determine a transmission rate fluctuation interval of the adjustable interference signal according to the transmission rate range and a preset rate offset rule;

[0162] In step 403 , the rate deviation rule refers to an interference signal rate fluctuation rule set according to a target transmission rate range (eg, covering ±15% of the target rate range).

[0163] The transmission rate fluctuation range refers to the dynamic adjustment range of the interference signal symbol rate (for example, 0.85~1.15Mbps).

[0164] In an embodiment of the present application, first, the transmission rate range (0.9~1.1Mbps) parsed in step 402 is read; second, according to a preset rate offset rule (for example, expansion by ±15% to cover the target rate fluctuation), the original range is expanded to 0.85~1.15Mbps; finally, the symbol rate fluctuation interval parameters of the interference signal are generated.

[0165] 404. Based on the transmission rate fluctuation range, generate a symbol rate parameter that matches the transmission rate variation pattern of the target UAV group communication link;

[0166] In step 404, the symbol rate parameter refers to a symbol rate value dynamically adjusted by the interference signal (eg, randomly changing within a range of 0.85-1.15 Mbps).

[0167] In an embodiment of the present application, first, based on the transmission rate fluctuation range (0.85~1.15Mbps) generated in step 403, the dynamic adjustment step of the symbol rate is set (for example, 0.05Mbps); secondly, a symbol rate parameter sequence (0.85, 0.90, 0.95...1.15Mbps) is generated to ensure that all possible values of the target rate are covered; finally, the parameter sequence is stored in the interference signal configuration table.

[0168] 405. Correlate the frequency offset parameter and the symbol rate parameter according to the modulation characteristics of the active frequency bands to generate a frequency coverage range and signal transmission rate combination parameter corresponding to each active frequency band;

[0169] In step 405, the frequency coverage and signal transmission rate combination parameter refers to a parameter set that binds the frequency offset parameter and the symbol rate parameter according to the frequency band modulation characteristics (for example, the F3 band is bound to ±20 MHz offset and 0.9-1.1 Mbps rate).

[0170] In an embodiment of the present application, first, the modulation characteristics of the active frequency band are extracted (for example, F3 is QPSK modulation, and F5 is FSK modulation); secondly, the frequency offset parameter generated in step 401 (for example, F3±20MHz) and the symbol rate parameter generated in step 404 (0.85~1.15Mbps) are bound according to the frequency band; finally, a combination parameter table is generated to clarify the interference parameter combination of each frequency band (for example, F3:±20MHz+0.85~1.15Mbps, F5:±15MHz+0.8~1.2Mbps).

[0171] 406. Based on the frequency coverage range and signal transmission rate combination parameters, perform frequency band binding processing on the waveform parameters of the adjustable interference signal to generate signal interference parameters matching each active frequency band.

[0172] In step 406 , the waveform parameter refers to the waveform shape of the interference signal (eg, pulse width, carrier frequency).

[0173] Signal interference parameters refer to a set of interference signal configuration parameters that fully match the target frequency band.

[0174] In the embodiment of the present application, first, based on the combined parameter table generated in step 405 (for example, F3: ±20MHz, 0.85~1.15Mbps), the carrier frequency range (for example, F3±20MHz) and pulse width (for example, 10μs) of the adjustable interference signal are adjusted; secondly, the adjusted waveform parameters are loaded into the interference signal generator; finally, the signal interference parameters are generated, and the interference device is controlled to dynamically inject the signal according to the parameters.

[0175] Here's a specific example:

[0176] During the border patrol mission, the target drone swarm used frequency hopping communication (bands F3 and F5, encryption algorithm AES-128). The system generated signal interference parameters according to the following process: parsing the frequency hopping sequence F1→F3→F5 (with a 50ms interval between adjacent switching) in the protocol feature library, calculating the frequency difference F3-F1=20MHz, predicting the next hop frequency range to be F3±20MHz, and generating a frequency offset parameter of ±20MHz; parsing the transmission rate identifier corresponding to AES-128 from the encryption signature, determining the base symbol rate to be 1Mbps, with an allowable fluctuation range of 0.9~ The system then expanded the transmission rate range to 1.1Mbps based on a rate offset rule (±15%), expanding the transmission rate range to 0.85-1.15Mbps. A symbol rate parameter sequence (0.85, 0.90, …, 1.15Mbps) was generated in steps of 0.05Mbps. The F3 band was bound to a frequency offset of ±20MHz and a symbol rate of 0.85-1.15Mbps, and the F5 band to ±15MHz and a symbol rate of 0.8-1.2Mbps. The carrier frequency of the adjustable jamming signal was adjusted to F3 ±20MHz and a pulse width of 10μs, generating a signal jamming parameter instruction set. Following these instructions, the system dynamically injected a jamming signal with a frequency fluctuation of ±20MHz and a symbol rate of 0.85-1.15Mbps into the F3 band, precisely covering the target frequency hopping range and causing communication synchronization failure in the drone swarm.

[0177] In summary, steps 401 to 406 dynamically analyze frequency hopping patterns and encryption characteristics to generate frequency offset and symbol rate parameters that fully match the target frequency band, achieving precise adaptation of the interference signal. Interference energy and signal parameters are dynamically adjusted based on frequency hopping behavior, covering multi-band communication links and significantly improving suppression efficiency and anti-evasion capabilities.

[0178] In order to further improve the real-time synchronization accuracy of the interference signal and the subcarrier modulation mode of the target drone group, in some embodiments, step 103 performs parameter setting processing on the preset interference signal based on the encryption features and multi-band frequency hopping sequence in the protocol feature library to generate an adjustable interference signal, and synchronously adapts the adjustable interference signal to the specific subcarrier modulation mode of the target drone group to generate an interference injection signal, including:

[0179] 501. Parse the encryption features in the protocol feature library to determine waveform parameters and symbol rate parameters used for modulation signals in the target UAV swarm communication link;

[0180] In step 501, the waveform parameter refers to the waveform shape (eg, a rectangular pulse waveform of QPSK modulation) used to modulate a subcarrier in a target communication link.

[0181] The symbol rate parameter refers to the number of symbols transmitted per second by the target communication link (for example, 1M symbols / second).

[0182] In an embodiment of the present application, first, encryption features (such as the encryption algorithm identifier AES-128) are extracted from the protocol feature library, and the waveform identifier associated with the modulation mode (such as the rectangular pulse corresponding to QPSK) is parsed; secondly, according to the mapping rule between the encryption algorithm and the symbol rate (such as AES-128 corresponds to 1Mbps), the symbol rate parameters of the target communication link are determined; finally, the waveform parameters (such as pulse width 10μs) and the symbol rate parameters (1Mbps) are generated.

[0183] 502. Analyze the multi-band frequency hopping sequence in the protocol feature library to obtain a sequence analysis result, extract the switching time interval and frequency offset range between adjacent frequency bands based on the sequence analysis result, and generate a frequency offset parameter of the adjustable interference signal;

[0184] In step 502 , the switching time interval refers to the time interval for the target drone group to switch between different frequency bands (for example, it takes 50 ms to switch from F1 to F3).

[0185] The frequency offset range refers to the frequency fluctuation range of the interference signal relative to the target frequency band (for example, ±20MHz).

[0186] In an embodiment of the present application, first, the multi-band frequency hopping sequence (for example, F1→F3→F5) in the protocol feature library is analyzed, and the switching time interval (for example, F1→F3 interval is 50ms) and frequency difference (for example, F3-F1=20MHz) of adjacent frequency bands are extracted; secondly, based on the switching time interval and frequency difference, the frequency offset parameter (for example, ±20MHz) covering the predicted range of the next hopping frequency band is calculated; finally, the frequency offset parameter (for example, F3: ±20MHz, F5: ±15MHz) is generated.

[0187] 503. Load the waveform parameters, symbol rate parameters, and frequency offset parameters into a preset interference signal generation rule to generate an adjustable interference signal that is compatible with the subcarrier modulation mode of the target drone group;

[0188] In step 503, the generation rule refers to a preset parameter configuration template of the interference signal (eg, a frequency, rate, and waveform parameter template of a white noise carrier).

[0189] The adjustable interference signal refers to the reference interference signal after the waveform, symbol rate and frequency offset parameters are loaded.

[0190] In the embodiment of the present application, first, the waveform parameters (rectangular pulse), symbol rate parameters (1Mbps) generated in step 501 and the frequency offset parameters (±20MHz) generated in step 502 are input into a preset interference signal generator; secondly, the carrier frequency (for example, F3±20MHz), pulse width (10μs) and symbol rate (1Mbps) are adjusted according to the parameters; finally, an adjustable interference signal compatible with the target subcarrier modulation mode (QPSK) is generated.

[0191] 504. Monitor the active frequency band identifiers of the target drone group in real time, match the corresponding frequency offset parameters according to the active frequency band identifiers, and dynamically adjust the symbol rate parameters to generate an interference injection signal that is synchronized with the target subcarrier modulation mode in real time.

[0192] In step 504 , the active frequency band identifier refers to the frequency band number (eg, F3 or F5) actually used by the target drone group during the current suppression period.

[0193] Dynamic adjustment processing refers to adjusting the frequency offset and symbol rate parameters of the interference signal based on real-time monitoring results.

[0194] In an embodiment of the present application, first, the active frequency band identifier of the target drone group is monitored in real time (for example, the current active frequency band is F3); second, the offset range corresponding to F3 (±20MHz) is matched from the frequency offset parameter table, and the symbol rate is dynamically fine-tuned according to the target signal strength (for example, from 1Mbps to 1.05Mbps); then, the adjusted parameters are loaded into the adjustable interference signal generator; finally, an interference injection signal is generated that is synchronized in real time with the target subcarrier modulation mode.

[0195] Here's a specific example:

[0196] During a border patrol mission, a swarm of target drones uses QPSK modulation (symbol rate 1 Mbps) to frequency-hop between frequency bands F3 and F5. The system generates and injects interference signals according to the following process: First, step 501 parses encryption features from the protocol feature library to extract the waveform parameters (rectangular pulse, width 10 μs) and symbol rate parameters (1 Mbps) corresponding to QPSK modulation. Next, step 502 analyzes the switching interval (50 ms) and frequency difference (F3 - F1 = 20 MHz) of the frequency hopping sequence F1 → F3 → F5 to generate a frequency offset parameter of ±20 MHz for the F3 frequency band. Subsequently, step 503 loads the waveform parameters, symbol rate parameters, and frequency offset parameters into a preset interference signal generator, configuring the carrier frequency to F3 ±20 MHz and the pulse width to 10 μs, thus generating an adjustable interference signal. Finally, step 504 monitors the target switching to the F3 frequency band in real time, matches the frequency offset of ±20 MHz, and dynamically adjusts the symbol rate to 1.05 Mbps based on signal strength fluctuations, generating an interference injection signal synchronized with the QPSK modulation in real time. The system continuously injects this signal, covering the F3±20MHz frequency band and dynamically adapting the symbol rate, causing the target receiver to be unable to resolve legitimate communications, completely blocking the communication link between the drone swarm and the control station.

[0197] In summary, steps 501 to 504 dynamically analyze the waveform and frequency characteristics of the target communication to generate an interference signal fully compatible with the subcarrier modulation scheme. This signal then adapts to frequency band switching and signal variations in real time, achieving precise and synchronized suppression. The interference injection signal covers the target frequency hopping range and rate fluctuation range, significantly improving the efficiency of blocking drone swarm communications in complex electromagnetic environments.

[0198] In order to further improve the synchronization accuracy of the real-time communication between the interference signal and the target drone group, in some embodiments, in step 504, the active frequency band identifier of the target drone group is monitored in real time, the corresponding frequency offset parameter is matched according to the active frequency band identifier, and the symbol rate parameter is dynamically adjusted to generate an interference injection signal synchronized with the target subcarrier modulation mode in real time, including:

[0199] 601. Scan the communication signal frequency band range of the target drone group, detect the signal energy peak of each frequency band, and obtain the active frequency band identifier;

[0200] In step 601 , the signal energy peak refers to the maximum instantaneous power of the communication signal in the target frequency band (for example, the peak power of the frequency band F3 is -50 dBm).

[0201] The active frequency band ID refers to the frequency band number currently in communication status (for example, F3 or F5).

[0202] In an embodiment of the present application, first, the communication frequency band range (e.g., 2.4GHz~2.5GHz) of the target drone swarm is scanned in the entire frequency band using a broadband spectrum scanning device; secondly, the signal energy peak of each frequency band is detected (e.g., F3 has a peak of -50dBm at 2.42GHz, and F5 has a peak of -55dBm at 2.48GHz); then, the frequency bands whose energy peaks exceed a preset threshold are screened (e.g., a threshold of -60dBm, F3 and F5 are both selected); finally, a list of active frequency band identifiers is generated (e.g., [F3, F5]).

[0203] 602. Search the protocol signature database for initial values of a corresponding frequency offset parameter and a symbol rate parameter according to the active frequency band identifier;

[0204] In step 602, the initial value of the frequency offset parameter refers to the frequency band offset range (eg, F3±20 MHz) pre-stored in the protocol feature library.

[0205] 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).

[0206] In an embodiment of the present application, first, the active frequency band identification list (for example, F3 and F5) generated in step 601 is read; secondly, the frequency offset parameters (for example, F3: ±20MHz, F5: ±15MHz) and the initial value of the symbol rate parameter (for example, F3: 1Mbps, F5: 500Kbps) corresponding to each active frequency band are queried from the protocol feature library; finally, an initial parameter matching table is generated (for example, F3 is bound to ±20MHz and 1Mbps).

[0207] 603. Dynamically scale the initial value of the symbol rate parameter based on the signal energy peak change rate of the active frequency band identifier to generate a real-time adaptive symbol rate parameter that is updated synchronously with the target subcarrier modulation mode;

[0208] In step 603 , the signal energy peak change rate refers to the fluctuation speed of the target frequency band signal energy peak (for example, it takes 10 ms for the F3 peak to rise from -50 dBm to -45 dBm).

[0209] The real-time adaptive symbol rate parameter refers to a symbol rate value that is dynamically adjusted according to energy changes (for example, from 1 Mbps to 1.2 Mbps).

[0210] In an embodiment of the present application, first, the signal energy peak change rate of the active frequency band is monitored in real time (for example, F3 rises from -50dBm to -45dBm within 10ms, and the change rate is 0.5dBm / ms); secondly, according to the preset rate-symbol rate mapping rule (for example, when the energy rise rate is greater than 0.3dBm / ms, the symbol rate is increased by 20%), the dynamic scaling ratio is calculated (for example, 1Mbps×1.2=1.2Mbps); finally, the real-time adaptive symbol rate parameters are generated (for example, F3: 1.2Mbps).

[0211] 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.

[0212] In step 604, the generation rule refers to a preset interference signal parameter configuration template (eg, carrier frequency, symbol rate, waveform type).

[0213] The interference injection signal refers to the final interference signal generated after loading the real-time parameters.

[0214] In an embodiment of the present application, first, the frequency offset parameter matched in step 602 (e.g., F3±20MHz) and the real-time adaptive symbol rate parameter generated in step 603 (e.g., 1.2Mbps) are input into the adjustable interference signal generator; secondly, the carrier frequency range (e.g., 2.42GHz±20MHz) and the symbol rate (1.2Mbps) are adjusted according to the parameters; finally, an interference injection signal covering the currently active frequency band is generated and continuously injected into the target channel.

[0215] Here's a specific example:

[0216] During a border patrol mission, the target drone swarm communicates by frequency hopping between bands F3 (2.42 GHz) and F5 (2.48 GHz). The system generates and injects jamming signals in real time according to the following process:

[0217] In step 601, the system scans the entire 2.4GHz~2.5GHz frequency band using a broadband spectrum scanning device, and detects that the signal energy peak of the F3 frequency band is -50dBm and the peak of the F5 frequency band is -55dBm, and generates an active frequency band identifier list [F3, F5]; Step 602 matches the initial parameters for F3 (frequency offset ±20MHz, symbol rate 1Mbps) and F5 (±15MHz, 500Kbps) from the protocol signature library based on the active frequency band identifier. Step 603 monitors the F3 signal energy rapidly rising from -50dBm to -45dBm within 10ms (at a rate of 0.5dBm / ms). Based on a preset rule (symbol rate increases by 20% when energy rate exceeds 0.3dBm / ms), the symbol rate for F3 is dynamically adjusted from 1Mbps to 1.2Mbps. Step 604 loads the adjusted F3 parameters (±20MHz, 1.2Mbps) into the jammer generator, generating a jammer injection signal with a carrier frequency of 2.42GHz ±20MHz and a symbol rate of 1.2Mbps, continuously covering the F3 frequency band. Because the jammer signal was synchronized with the communication link in real time, the target drone swarm was unable to interpret legitimate commands, resulting in a communication link interruption and eventual loss of control.

[0218] In summary, steps 601 to 604 achieve precise synchronization and suppression of target communications by dynamically adjusting the frequency offset and symbol rate of the jamming signal through real-time monitoring of target frequency band energy changes. The jamming signal parameters adapt in real time to target behavior, covering the full range of active frequency bands for frequency-hopping communications, significantly improving the blocking efficiency and anti-interference capabilities of drone swarm communications in complex electromagnetic environments.

[0219] In order 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 the signal interference parameter are prioritized according to the active frequency band to obtain a hierarchical energy allocation ratio, including:

[0220] 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 an interference priority level of each active frequency band based on the frequency analysis result;

[0221] In step 701 , the communication signal strength refers to the real-time power level of the communication signal in the target frequency band (eg, the signal strength of the frequency band F3 is -50 dBm).

[0222] The historical switching frequency refers to the number of times a frequency band is activated in a unit of time (for example, F3 switches 100 times per hour).

[0223] Interference priority level refers to the frequency band suppression priority (such as high, medium, and low) based on signal strength and switching frequency.

[0224] In an embodiment of the present application, first, the communication signal strength (for example, -50dBm for F3 and -60dBm for F5) and the historical switching frequency (for example, F3 switches 100 times per hour and F5 switches 30 times per hour) of each frequency band (such as F3 and F5) in the active frequency band set are collected in real time; secondly, according to preset rules (for example, the higher the signal strength and the more frequent the switching frequency, the higher the priority), the comprehensive weight of each frequency band is calculated (for example, a weight of 0.8 for F3 and a weight of 0.3 for F5); finally, the interference priority level is generated by sorting by weight (for example, F3 is a high priority and F5 is a low priority).

[0225] 702. Classify the energy suppression ratio according to the interference priority level to generate high, medium, and low energy allocation ratios corresponding to each active frequency band;

[0226] In step 702 , the level division process is to allocate the total energy proportionally to three levels: high, medium, and low according to the priority level (eg, 70% of the energy is allocated to high priority).

[0227] The three-level energy allocation ratio refers to the energy allocation ratio corresponding to each priority level (for example, high: 70%, medium: 20%, low: 10%).

[0228] In an embodiment of the present application, first, the interference priority level table generated in step 701 is read (for example, F3 is high priority and F5 is low priority); secondly, according to the preset allocation rule (for example, high priority is allocated 70% of the total energy), the energy allocation value of each frequency band is calculated (for example, the total energy is 20W, F3 is allocated 14W, and F5 is allocated 2W); finally, a three-level energy allocation ratio is generated (for example, F3: 70%+14W, F5: 10%+2W).

[0229] 703. Perform level adaptation processing on the signal interference parameters of each active frequency band based on the frequency offset parameter and the transmission rate parameter in the signal interference parameters to generate an interference signal parameter set that matches the interference priority level.

[0230] In step 703, the level adaptation process refers to adjusting the coverage and accuracy of the signal interference parameters according to the priority level (for example, a higher priority frequency band uses a wider frequency offset).

[0231] Interference signal parameter sets refer to signal parameter combinations classified by priority level (e.g., high priority frequency band binding with ±20 MHz offset and high symbol rate).

[0232] In an embodiment of the present application, first, the initial value of the signal interference parameter is extracted from the protocol feature library (for example, the F3 frequency offset is ±20MHz, and the symbol rate is 1Mbps); secondly, the parameter range is adjusted according to the priority level (for example, the offset of the high-priority F3 is extended to ±25MHz, and the symbol rate is increased to 1.2Mbps); finally, a set of interference signal parameters that matches the priority is generated (for example, the high-priority parameter refers to ±25MHz+1.2Mbps).

[0233] 704. Bind the three-level energy allocation ratios and the interference signal parameter set accordingly according to the active frequency bands to generate the hierarchical energy allocation ratios.

[0234] In step 704, the corresponding binding process is to associate the energy allocation ratio with the signal interference parameter by frequency band (for example, F3 is bound to 70% energy + ±25 MHz offset).

[0235] The hierarchical energy allocation ratio refers to the final generated frequency band, energy, and signal parameter mapping table.

[0236] In an embodiment of the present application, first, the three-level energy allocation ratio table of step 702 (for example, F3: 70% + 14W) and the interference signal parameter set of step 703 (for example, F3: ±25MHz + 1.2Mbps) are read; secondly, the energy and signal parameters are bound by frequency band (for example, F3 is associated with 14W energy, ±25MHz offset, and 1.2Mbps rate); finally, a hierarchical energy allocation ratio is generated to guide the dynamic allocation of interference resources.

[0237] Here's a specific example:

[0238] In the border patrol mission, the target drone group communicates by frequency hopping between frequency bands F3 (signal strength -50dBm, historical switching frequency 100 times / hour) and F5 (signal strength -60dBm, switching frequency 30 times / 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 / hour) of F3, calculates a comprehensive weight of 0.8, and marks it as high priority; F5 has a low signal strength and a low switching frequency, so it has a weight of 0.3 and is marked as low priority; in step 702, the total interference is divided according to the priority level classification rule. The 20W of energy is distributed proportionally (70% (14W) to the high-priority F3, and 10% (2W) to the low-priority F5). Step 703, based on the initial parameters for F3 (±20MHz frequency offset, 1Mbps symbol rate) in the protocol signature library, expands the frequency offset to ±25MHz and increases the symbol rate to 1.2Mbps for the high-priority F5. F5 maintains its initial parameters (±15MHz, 500Kbps). Step 704 binds F3's 14W of energy to the expanded parameters (±25MHz, 1.2Mbps), and F5's 2W of energy to the initial parameters, generating a hierarchical energy allocation table. Based on this table, the system concentrates energy suppression and broadband interference during F3's active periods and reduces suppression intensity during F5 periods, effectively blocking the drone swarm's communication link throughout the entire process.

[0239] In summary, steps 701 to 704 dynamically analyze frequency band priorities and allocate energy and signal parameters according to their levels, achieving precise adaptation of interference resources. High-priority bands receive wider frequency coverage and greater energy suppression, while low-priority bands are allocated resources on demand, significantly improving interference efficiency and stability in complex frequency hopping scenarios.

[0240] Figure 2 The present application provides a schematic diagram of a wide-area suppression system for drone swarms based on multi-band frequency hopping interference, as shown in FIG. Figure 2 As shown, the system includes:

[0241] The protocol feature analysis module 21 is used to analyze the frequency hopping rules and encryption features of the communication link of the target drone group, obtain analysis results, and build a protocol feature library containing multi-band frequency hopping sequences based on the analysis results;

[0242] The interference energy control module 22 is used 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 to generate a directional interference energy signal for the multi-band frequency hopping communication channel to suppress the hot spots of drone swarm activity in a wide-area coverage manner;

[0243] The signal parameter adaptation module 23 is used to perform parameter setting processing on the preset interference signal based on the encryption features 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 subcarrier modulation mode of the target drone group to generate an interference injection signal;

[0244] a frequency band coordination decision module 24 configured to extract a time distribution pattern of the multi-band frequency hopping sequence, dynamically coordinate and adjust the injection frequency bands of the directional interference energy signal and the adjustable interference signal based on the time distribution pattern, and generate a frequency band coordination strategy;

[0245] The dynamic suppression execution module 25 is used to dynamically allocate the frequency bands 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 drone group control link.

[0246] Figure 2 The UAV swarm wide area suppression system based on multi-band frequency hopping interference can be performed Figure 1 The implementation principles and technical effects of the multi-band frequency hopping jamming-based wide-area suppression method for drone swarms described in the illustrated embodiment will not be elaborated on here. The specific manner in which each module and unit performs operations in the multi-band frequency hopping jamming-based wide-area suppression system for drone swarms in the above-mentioned embodiment has been described in detail in the embodiments of the method and will not be elaborated on here.

[0247] In one possible design, Figure 2 The UAV swarm wide area suppression system based on multi-band frequency hopping interference of the embodiment shown can be implemented as a computing device, such as Figure 3 As shown, the computing device may include a storage component 31 and a processing component 32;

[0248] The storage component 31 stores one or more computer instructions, wherein the one or more computer instructions are called and executed by the processing component 32 .

[0249] The processing component 32 is used for the above Figure 1 The embodiment provides a method for wide-area suppression of drone swarms based on multi-band frequency hopping interference.

[0250] The processing component 32 may 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 may also be implemented as 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 to perform the above method.

[0251] The storage component 31 is configured to store various types of data to support operations at the terminal. The storage component can be implemented by any type of volatile or non-volatile memory 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.

[0252] Of course, a computing device may also include other components, such as input / output interfaces, display components, communication components, etc.

[0253] The input / output interface provides an interface between the processing component and the peripheral interface module, which can be an output device, an input device, etc.

[0254] The communication component is configured to facilitate, among other things, wired or wireless communications between the computing device and other devices.

[0255] Among them, the computing device can be a physical device or an elastic computing host provided by a cloud computing platform, etc. In this case, the computing device can refer to a cloud server, and the above-mentioned processing components, storage components, etc. can be basic server resources rented or purchased from the cloud computing platform.

[0256] The present application also provides a computer storage medium storing a computer program, wherein the computer program can achieve the above-mentioned Figure 1 The embodiment shown is a method for wide-area suppression of drone swarms based on multi-band frequency hopping interference.

[0257] Those skilled in the art will clearly understand that, for the convenience and brevity of description, the specific working processes of the systems, devices and units described above can refer to the corresponding processes in the aforementioned method embodiments and will not be repeated here.

[0258] The device embodiments described above are merely illustrative. The units described as separate components may or may not be physically separate, and the components shown as units may or may not be physical units, i.e., they may be located in one location or distributed across multiple network units. Some or all of the modules may be selected based on actual needs to achieve the objectives of the present embodiment. Persons of ordinary skill in the art will be able to understand and implement the present invention without inventive effort.

[0259] Through the above description of the embodiments, those skilled in the art will clearly understand that each embodiment can be implemented using software plus a necessary general-purpose hardware platform, or of course, hardware. Based on this understanding, the essence of the above technical solution, or the portion 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, a magnetic disk, or an optical disk, and includes a number of instructions for causing a computer device (such as a personal computer, server, or network device) to execute the methods described in each embodiment or certain portions of the embodiments.

[0260] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present application, rather than to limit them. Although the present application has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that they can still modify the technical solutions described in the aforementioned embodiments, or make equivalent replacements for some of the technical features therein. However, these modifications or replacements do not deviate the essence of the corresponding technical solutions from the spirit and scope of the technical solutions of the embodiments of the present application.

Claims

1. A method for suppressing drone swarms over a wide area based on multi-band frequency hopping jamming, characterized in that: include: Analyze the frequency hopping rules and encryption characteristics of the communication link of the target drone group to obtain analysis results, and build a protocol feature library containing multi-band frequency hopping sequences based on the analysis results; Deploy a directional focused 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 focused antenna array in real time to generate a directional interference energy signal for the multi-band frequency hopping communication channel that is used to suppress the hot spots of drone swarm activity in a wide-area coverage manner; Based on the encryption features and multi-band frequency hopping sequences in the protocol feature library, parameter setting processing is performed on the 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 drone group to generate an interference injection signal; Extracting a time distribution law of the multi-band frequency hopping sequence, dynamically and collaboratively adjusting the injection frequency bands of the directional interference energy signal and the adjustable interference signal based on the time distribution law, and generating a frequency band coordination strategy; According to the frequency band priority and time window in the frequency band coordination strategy, the frequency band allocation of the directional interference energy signal and the interference injection signal in the multi-band frequency hopping communication channel is dynamically allocated to generate a wide-area suppression signal for the drone group control link.

2. The method according to claim 1, characterized in that Extracting a time distribution law of the multi-band frequency hopping sequence, dynamically and collaboratively adjusting the injection frequency bands of the directional interference energy signal and the adjustable interference signal based on the time distribution law, and generating a frequency band coordination strategy, including: Analyzing the switching time intervals and continuous occupancy durations between different frequency bands in the multi-band frequency hopping sequence to obtain a time analysis result, and determining an activity pattern of each frequency band in a time dimension based on the time analysis result; Dividing the interference period of the multi-band frequency hopping communication channel into a plurality of continuous time periods according to the activity rule, and marking a corresponding active frequency band set for each time period; Based on the encryption features and multi-band frequency hopping sequence in the protocol feature library, the waveform type, frequency offset and symbol rate of the preset interference signal are determined, modulation parameters compatible with the specific subcarrier modulation mode in the communication link of the target drone group are generated, and the modulation parameters are loaded into the preset interference signal to generate an adjustable interference signal; 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, and generating an interference resource allocation scheme corresponding to the active frequency band in each time period; According to the interference resource allocation scheme, the transmission direction of the directional focusing antenna array and the frequency range of the adjustable interference signal are synchronously updated to generate a dynamic interference instruction covering the active frequency band in the current time period; The dynamic interference instructions are combined 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, frequency band binding processing is performed 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, including: 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 requirement parameter corresponding to each active frequency band based on the frequency band analysis result; According to the interference requirement parameter, the energy intensity of the directional interference energy signal is distributed in frequency bands to generate an energy suppression ratio that matches each active frequency band; Determining a frequency offset parameter and a symbol rate parameter of the adjustable interference signal based on the encryption features and the multi-band frequency hopping sequence in the protocol feature library, performing frequency band matching processing on the frequency offset parameter and the symbol rate parameter, and generating a signal interference parameter corresponding to each active frequency band; Prioritizing the energy suppression ratio and the signal interference parameter according to the active frequency band to obtain a hierarchical energy allocation ratio; The signal change characteristics of the multi-band frequency hopping communication channel are monitored in real time, and dynamic weight correction processing is performed on the hierarchical energy allocation ratio and signal interference parameters according to the signal change characteristics to generate an interference resource allocation plan.

4. The method according to claim 3, wherein Determining a frequency offset parameter and a symbol rate parameter of the adjustable interference signal based on the encryption features and the multi-band frequency hopping sequence in the protocol feature library, performing frequency band matching processing on the frequency offset parameter and the symbol rate parameter, and generating a signal interference parameter corresponding to each active frequency band, including: Analyzing the switching order and interval duration of adjacent frequency bands in the multi-band frequency hopping sequence, determining a predicted range of the next hopping frequency band for each active frequency band, and generating a frequency offset parameter covering the predicted range; Parsing a transmission rate identifier associated with the encryption algorithm in the encryption feature to obtain a transmission rate range of the target drone swarm communication link; Determining a transmission rate fluctuation interval of the adjustable interference signal according to the transmission rate range and a preset rate offset rule; Based on the transmission rate fluctuation interval, a symbol rate parameter is generated that matches the transmission rate variation pattern of the target UAV swarm communication link; Correlating the frequency offset parameter with the symbol rate parameter according to the modulation characteristics of the active frequency bands 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 parameters, frequency band binding processing is performed on the waveform parameters of the adjustable interference signal to generate signal interference parameters that match each active frequency band.

5. The method according to claim 1, wherein Based on the encryption features and multi-band frequency hopping sequence in the protocol feature library, parameter setting processing is performed on the preset interference signal to generate an adjustable interference signal, and the adjustable interference signal and the specific subcarrier modulation mode of the target drone group are synchronously adapted to generate an interference injection signal, including: Parsing the encryption features in the protocol feature library to determine waveform parameters and symbol rate parameters used for modulation signals in the target UAV swarm communication link; Analyzing the multi-band frequency hopping sequence in the protocol feature library to obtain a sequence analysis result, extracting the switching time interval and frequency offset range between adjacent frequency bands based on the sequence analysis result, and generating the frequency offset parameter of the adjustable interference signal; The waveform parameters, symbol rate parameters, and frequency offset parameters are loaded into a preset interference signal generation rule to generate an adjustable interference signal that is compatible with the subcarrier modulation mode of the target drone group; The active frequency band identifiers of the target drone group are monitored in real time, the corresponding frequency offset parameters are matched according to the active frequency band identifiers, and the symbol rate parameters are dynamically adjusted to generate an interference injection signal that is synchronized with the target subcarrier modulation mode in real time.

6. The method according to claim 5, characterized in that Real-time monitoring of the active frequency band identifiers of the target drone group, matching corresponding frequency offset parameters according to the active frequency band identifiers, and dynamically adjusting the symbol rate parameters to generate an interference injection signal that is synchronized with the target subcarrier modulation mode in real time, including: Scan the communication signal frequency band range of the target drone group, detect the signal energy peak of each frequency band, and obtain the active frequency band identification; According to the active frequency band identifier, searching for initial values of corresponding frequency offset parameters and symbol rate parameters from the protocol signature library; Dynamically scaling the initial value of the symbol rate parameter based on the signal energy peak change rate of the active frequency band identifier to generate a real-time adaptive symbol rate parameter that is updated synchronously with the target subcarrier modulation mode; The frequency offset parameter and the real-time adaptive symbol rate parameter are loaded 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, characterized in that Prioritizing the energy suppression ratio and the signal interference parameter 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, the energy suppression ratio is graded to generate high, medium and low energy allocation ratios corresponding to each active frequency band; Based on the frequency offset parameter and the transmission rate parameter in the signal interference parameters, performing level adaptation processing on the signal interference parameters of each active frequency band to generate an interference signal parameter set that matches the interference priority level; The three-level energy allocation ratio and the interference signal parameter set are correspondingly bound according to the active frequency band to generate the hierarchical energy allocation ratio.

8. The UAV swarm wide-area suppression system based on multi-band frequency hopping jamming is characterized by: include: A protocol feature analysis module is used to analyze the frequency hopping rules and encryption features of the communication link of the target drone group, obtain analysis results, and build a protocol feature library containing multi-band frequency hopping sequences based on the analysis results; An interference energy control module is used 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 to generate a directional interference energy signal for the multi-band frequency hopping communication channel to suppress the hot spots of drone swarm activity in a wide-area coverage manner; A signal parameter adaptation module is used to perform parameter setting processing on a preset interference signal based on the encryption features 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 subcarrier modulation mode of the target drone group to generate an interference injection signal; a frequency band coordination decision module, configured to extract a time distribution pattern of the multi-band frequency hopping sequence, dynamically and collaboratively adjust the injection frequency bands of the directional interference energy signal and the adjustable interference signal based on the time distribution pattern, and generate a frequency band coordination strategy; The dynamic suppression execution module is used to dynamically allocate the frequency bands 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 drone group control link.

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 wide-area suppression method of drone swarms based on multi-band frequency 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, the method for wide-area suppression of a swarm of drones based on multi-band frequency hopping interference as described in any one of claims 1 to 7 is implemented.

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