Unmanned aerial vehicle interference countering device

Abstract

The invention provides an unmanned aerial vehicle anti-interference device, and relates to the technical field of unmanned aerial vehicles, and the device comprises a monitoring locking module which is used for locking a target unmanned aerial vehicle; the signal analysis module is used for acquiring target signal characteristics and obtaining target interference signals; the interference transmitting module is used for activating transmitting equipment to transmit a target interference signal to the target unmanned aerial vehicle and obtaining a target interference record; the interference evaluation module is used for obtaining a target interference effect; the countering analysis module is used for obtaining a countering interference evaluation function and analyzing the countering interference evaluation function to obtain a target countering index; and the countering quantization module is used for carrying out countering capability quantization on the target countering interference equipment. According to the method and the device, the problem that the performance of unmanned aerial vehicle countering interference equipment cannot be effectively quantified due to the fact that real-time monitoring and effect evaluation cannot be performed on the countering interference process of the unmanned aerial vehicle in the prior art can be solved, and the effect of improving the accuracy, effectiveness and intelligent level of unmanned aerial vehicle countering interference is achieved.

Description

Technical Field

[0001] This application relates to the technical field of unmanned aerial vehicles, and particularly to an anti-drone interference device. Background Art

[0002] With the rapid development of unmanned aerial vehicle (UAV) technology, UAVs are increasingly widely used in military, civilian and other fields, and the security threats they bring have gradually become prominent. Illegal intrusion, reconnaissance, interference and other behaviors occur frequently, posing potential risks to important facilities and public safety. To effectively address these threats, researchers have developed a variety of anti-UAV technologies, mainly divided into active anti-countermeasure technologies and passive detection technologies. Active anti-countermeasure technologies block the normal operation of UAVs or force them to land by actively interfering with their communication and navigation systems. Common interference methods include full-band interference, directional interference, scanning interference, etc. These technologies can, to a certain extent, achieve the anti-countermeasure and control of UAVs. However, there are some problems and deficiencies in the existing UAV interference countermeasure technologies. On the one hand, the evaluation of interference effects is not accurate and scientific enough. The current evaluation methods are mostly based on experience or simple indicators, and it is difficult to comprehensively and objectively reflect the actual interference effects. On the other hand, the intelligent level of anti-interference devices needs to be improved. Existing devices have limitations in adapting to the signal patterns and protocol types of different UAV models and cannot achieve precise and efficient interference. In addition, for UAVs that do not rely on external communication for flight control, such as UAVs with autonomous control functions, the control effect of radio countermeasure systems is poor.

[0003] In summary, the existing technology has technical problems in the process of UAV interference countermeasures, such as being difficult to accurately locate and identify target UAVs, unable to select appropriate interference signals according to their signal characteristics, lacking real-time monitoring and effect evaluation means during the interference implementation process, and being unable to effectively quantify the performance of UAV anti-interference devices. Summary of the Invention

[0004] The purpose of this application is to provide an anti-drone interference device to solve the technical problems existing in the existing technology in the process of UAV interference countermeasures, such as being difficult to accurately locate and identify target UAVs, unable to select appropriate interference signals according to their signal characteristics, lacking real-time monitoring and effect evaluation means during the interference implementation process, and being unable to effectively quantify the performance of UAV anti-interference devices.

[0005] In view of the above problems, the present application provides an anti-drone jamming device. Among them, the anti-drone jamming device includes: a monitoring and locking module, which is used to capture and lock a target drone through a monitoring device; a signal analysis module, which is used to obtain the target signal characteristics of the target drone, and traverse and match the target signal characteristics in a jamming database to obtain a target jamming signal; a jamming transmitting module, which is used to activate a transmitting device, and transmit the target jamming signal to the target drone through the transmitting device, and monitor in real time to obtain a target jamming record; a jamming evaluation module, which is used to evaluate and analyze the target jamming record to obtain a target jamming effect; a countermeasure analysis module, which is used to obtain a countermeasure jamming evaluation function, and perform countermeasure analysis on the target jamming effect according to the countermeasure jamming evaluation function to obtain a target countermeasure index; a countermeasure quantification module, which is used to quantify the countermeasure ability of the target countermeasure jamming device carried on the target drone through the target countermeasure index.

[0006] Preferably, the signal analysis module is further used for: reading a predetermined communication index; collecting characteristics of the target drone based on the predetermined communication index to obtain target communication signal characteristics; reading a predetermined navigation index; collecting characteristics of the target drone based on the predetermined navigation index to obtain target navigation signal characteristics; the target communication signal characteristics and the target navigation signal characteristics constitute the target signal characteristics.

[0007] Preferably, the predetermined communication index at least includes a frequency band, a signal type, a modulation method, a coding method, and a communication protocol.

[0008] Preferably, the predetermined navigation index at least includes a satellite navigation system, a positioning method, and a navigation mode.

[0009] Preferably, the signal analysis module is further used for: extracting a first jamming signal from the jamming database, and obtaining a first data set of the first jamming signal; traversing and matching in the first data set based on the predetermined communication index and the predetermined navigation index to obtain first signal characteristics of the first jamming signal; performing a similarity analysis on the target signal characteristics and the first signal characteristics to obtain a first similarity; if the first similarity reaches a predetermined similarity threshold, then using the first jamming signal as the target jamming signal.

[0010] Preferably, the signal analysis module is further used for: extracting a first jamming simulation record from the first data set; reading a predetermined jamming effect index, and traversing and extracting the first jamming simulation record based on the predetermined jamming effect index to obtain a first jamming effect parameter; performing a weighted calculation on the normalized first jamming effect parameter to obtain a first jamming effect coefficient; adjusting the first similarity with the first jamming effect coefficient as an adjustment weight.

[0011] Preferably, the predetermined interference effect index at least includes a signal strength degradation rate, a data transmission interruption frequency, a bit error rate, and a navigation deviation rate.

[0012] Preferably, the interference evaluation module is further configured to: obtain a benchmark of the interference effect, and perform a weighted calculation on the benchmark of the interference effect with the first interference effect coefficient as the interference effect evaluation weight to obtain the target interference effect.

[0013] Preferably, the interference evaluation module is further configured to: determine whether the target interference effect reaches a predetermined interference constraint; if the predetermined interference constraint is not reached, adjust the target interference signal.

[0014] Preferably, the countermeasure analysis module is further configured to: the expression of the countermeasure interference evaluation function is: ; is the target countermeasure index, is the target interference effect, is the th parameter in the first interference effect parameters , there are parameters in the first interference effect parameters, and is an integer greater than or equal to 4, is the th parameter is the weighting coefficient of

[0015] In summary, the technical solution provided in this application has the following technical effects or advantages: By means of a monitoring and locking module, which is used to capture and lock a target unmanned aerial vehicle (UAV) through a monitoring device; a signal analysis module, which is used to obtain the target signal characteristics of the target UAV, and traverse and match the target signal characteristics in an interference database to obtain a target interference signal; an interference transmitting module, which is used to activate a transmitting device and transmit the target interference signal to the target UAV through the transmitting device, and monitor in real time to obtain a target interference record; an interference evaluation module, which is used to evaluate and analyze the target interference record to obtain a target interference effect; a countermeasure analysis module, which is used to obtain a countermeasure interference evaluation function and perform countermeasure analysis on the target interference effect according to the countermeasure interference evaluation function to obtain a target countermeasure index; a countermeasure quantification module, which is used to quantify the countermeasure ability of a target countermeasure interference device carried on the target UAV through the target countermeasure index. That is to say, first, a monitoring device is used to capture and lock a target UAV, then its signal characteristics are obtained, and a target interference signal is obtained by matching in an interference database. Then, the transmitting device is activated, the interference signal is transmitted to the target UAV, and the interference record is monitored in real time. After that, the interference record is evaluated and analyzed to obtain an interference effect, and then countermeasure analysis is performed according to the countermeasure interference evaluation function to obtain a target countermeasure index. Finally, the countermeasure ability of the countermeasure interference device on the target UAV is quantified through this index. It achieves the effects of accurately positioning and identifying the target UAV, selecting a suitable interference signal according to its signal characteristics and transmitting it in real time, while monitoring and scientifically evaluating the interference effect in real time, adjusting the interference strategy in time, and finally quantifying the performance of the UAV countermeasure interference device by using the countermeasure interference evaluation function. Description of the Drawings

[0016] Figure 1 It is a schematic structural diagram of the UAV countermeasure interference device of the present application.

[0017] Figure 2 It is a schematic flow diagram of the method corresponding to the UAV countermeasure interference device of the present application.

[0018] Description of the Reference Numerals: Monitoring and locking module 11, signal analysis module 12, interference transmitting module 13, interference evaluation module 14, countermeasure analysis module 15, countermeasure quantification module 16. Detailed Embodiment

[0019] The present application provides an unmanned aerial vehicle (UAV) countermeasure and interference device, which solves the technical problems in the prior art during the process of UAV interference countermeasures, including difficulty in accurately positioning and identifying target UAVs, inability to select appropriate interference signals based on their signal characteristics, lack of real-time monitoring and effectiveness evaluation means during the interference implementation process, and inability to effectively quantify the performance of UAV countermeasure and interference devices. It achieves the effects of accurately positioning and identifying target UAVs, selecting appropriate interference signals according to their signal characteristics and transmitting them in real time, simultaneously monitoring the interference effect in real time and scientifically evaluating it, timely adjusting the interference strategy, and finally quantifying the performance of UAV countermeasure and interference devices using a countermeasure and interference evaluation function.

[0020] Next, the technical solutions in the present application will be clearly and completely described with reference to the accompanying drawings. Obviously, the described embodiments are only a part of the embodiments of the present application, rather than all the embodiments of the present application. It should be understood that the present application is not limited by the example embodiments described herein. Based on the embodiments of the present application, all other embodiments obtained by those of ordinary skill in the art without creative efforts shall fall within the scope of protection of the present application. Additionally, it should be noted that for the sake of description, only the parts related to the present application are shown in the accompanying drawings, rather than all of them.

[0021] Please refer to the attached Figure 1 and the attached Figure 2 , the present application provides an unmanned aerial vehicle (UAV) countermeasure and interference device, wherein the UAV countermeasure and interference device specifically includes the following modules: A monitoring and locking module 11, which is used to capture and lock a target UAV through a monitoring device; Specifically, at present when UAV technology is booming, effectively capturing and locking target UAVs has become a key requirement in many fields such as security and military. The technical solution of capturing and locking target UAVs through a monitoring device aims to accurately locate the target, providing a solid foundation for subsequent monitoring, tracking or countermeasure measures, and ensuring precise control of UAVs in a complex and changeable environment.

[0022] First, as the front-end "sentry" of the entire system, the monitoring device uses advanced sensor technologies, such as optical, radar, or other detection means, to conduct all-round and dead-angle-free scanning and monitoring of the set area. When a target drone enters its monitoring range, the device can quickly capture the trace of the drone. For example, in a low-altitude security scenario at an airport, the monitoring devices installed around the airport can monitor the airspace within a radius of 5 kilometers in real time. Once an unauthorized drone intrudes, the device can detect its presence within 0.1 seconds. Then, the system starts the locking program and uses intelligent algorithms to analyze multi-dimensional features of the drone's flight trajectory, speed, shape, etc., so as to accurately distinguish the target drone from other objects, such as birds, airplanes, etc., in a complex background and ensure the accuracy of locking. During this process, the monitoring device will continuously track the target drone. Even if it tries to get rid of the monitoring by quickly changing direction, ascending or descending, etc., the device can still maintain stable locking on the target by virtue of its high-precision tracking algorithm, thus gaining precious time for subsequent treatment measures.

[0023] In summary, through the technical solution of capturing and locking the target drone by the monitoring device, the target drone is accurately positioned, providing a solid foundation for subsequent monitoring, tracking, or countermeasure measures, ensuring precise control of drones in a complex and changeable environment, and effectively improving the management efficiency and security of drones in related fields.

[0024] The signal analysis module 12 is used to obtain the target signal characteristics of the target drone and traverse and match the target signal characteristics in the interference database to obtain the target interference signal. Specifically, by obtaining the signal characteristics of the target drone and matching in the interference database to obtain the target interference signal, it aims to achieve precise interference with the drone, improve the effectiveness and pertinence of countermeasure measures, and at the same time provide a scientific basis for the adjustment of subsequent interference strategies.

[0025] First, after using the monitoring device to capture and lock the target UAV, through a professional signal receiving and processing module, extract its unique signal characteristics from the communication, navigation, or control system of the target UAV. This process usually involves multiple levels such as signal spectrum analysis, modulation mode identification, and protocol parsing to ensure that the obtained signal characteristics have sufficient representativeness and distinctiveness. For example, transform the detected signal into a time-frequency spectrum matrix through the short-time Fourier transform algorithm and perform binary filtering and denoising processing to more clearly extract the video transmission signal or frequency hopping signal characteristics of the UAV. Then, traverse and match the obtained target signal characteristics with a pre-constructed interference database. The interference database stores a large number of known UAV models and their corresponding interference signal templates. Through intelligent algorithms, compare the target signal characteristics with the templates in the database one by one to quickly find the matching target interference signal. This matching process not only depends on basic information such as the frequency and bandwidth of the signal but also comprehensively considers various parameters such as the modulation characteristics and pulse repetition interval of the signal to improve the accuracy and reliability of the matching. During the matching process, advanced algorithms such as deep learning networks can also be used to perform online learning on the real-time collected interference data and update the knowledge base, thereby continuously improving the adaptability and robustness of the system.

[0026] In summary, by accurately obtaining the signal characteristics of the target UAV and performing efficient matching in the interference database, the accurate acquisition of the target interference signal is successfully achieved, providing a solid foundation for subsequent interference implementation. It not only improves the accuracy and effectiveness of interference but also lays an important cornerstone for the intelligent development of UAV countermeasure technologies.

[0027] The interference transmitting module 13 is used to activate the transmitting device and transmit the target interference signal to the target UAV through the transmitting device, and obtain a target interference record through real-time monitoring; Specifically, by activating the transmitting device, transmitting the target interference signal to the target UAV, and obtaining a target interference record through real-time monitoring, the purpose is to achieve effective interference and precise control of the UAV, and improve the pertinence and effectiveness of countermeasure measures.

[0028] First, after capturing and locking the target drone and obtaining its target signal characteristics, the corresponding transmission device will be activated. This transmission device retrieves the appropriate target interference signal from the interference database according to the signal characteristics of the target drone and the surrounding environment. For example, in a low-altitude security scenario at an airport, when an unauthorized drone is detected, the interference signal that matches the signal characteristics of the drone will be quickly selected from the stored multiple interference signal templates. Then, the transmission device transmits the target interference signal to the target drone at an appropriate power and frequency, interfering with its communication link, navigation system, or control system, so that it cannot receive or process instructions normally. During this process, the transmission device continuously monitors the transmission status and effect of the interference signal. For example, by detecting parameters such as the intensity and frequency offset of the reflected signal, it is judged in real time whether the interference signal is successfully transmitted and received by the target drone. Next, the system analyzes and processes the target interference record obtained from the real-time monitoring. This includes recording and analyzing parameters such as the intensity, duration, and transmission frequency of the interference signal, as well as monitoring the response of the drone, such as whether the drone experiences signal loss, abnormal flight, etc. Through the analysis of these data, the operator can timely understand the interference effect and provide a basis for adjusting the subsequent interference strategy. For example, if it is monitored that the drone experiences a short signal loss after receiving the interference signal but quickly resumes normal communication, the operator can judge that the current intensity or frequency of the interference signal may not be sufficient to continuously and effectively interfere with the drone, and further adjustment and optimization are required.

[0029] In summary, by activating the transmission device and accurately transmitting the target interference signal, and at the same time monitoring the interference effect in real time, the effective interference and precise control of the target drone are successfully achieved, providing strong support for improving the actual combat effectiveness of drone countermeasure technology.

[0030] The interference evaluation module 14 is used to evaluate and analyze the target interference record to obtain the target interference effect; Specifically, by evaluating and analyzing the target interference records, it aims to scientifically and comprehensively measure the actual effectiveness of the interference measures, providing a solid basis for subsequent interference strategy adjustment and system optimization. First, collect the target interference records, which contain key data such as the intensity, frequency, duration of the interference signal, and the response of the drone. For example, in an airport security drill, the system recorded the entire process of emitting an interference signal to a simulated intruding drone, including the initial intensity of the interference signal being -30 dBm, the frequency range being between 2.4 GHz and 2.5 GHz, the duration being 10 seconds, and the changes in the flight state of the drone after receiving the interference signal. Then, use a series of evaluation algorithms to analyze this data, such as calculating the loss of the interference signal during propagation through a signal strength attenuation model, and combining the changes in the flight attitude of the drone to judge the degree of influence of the interference on its control system. In addition, environmental factors such as weather conditions and terrain will also be considered for their potential impact on the interference effect, and a multi-factor comprehensive evaluation model is established to more accurately quantify the interference effect. In a specific example, researchers found that in a rainy environment, the interference effect of the same intensity interference signal on the drone will be reduced by about 20%, and this finding further improves the environmental factor correction mechanism of the evaluation model. In summary, through in-depth evaluation and analysis of the target interference records, the accurate quantification and scientific evaluation of the interference effect are achieved.

[0031] The countermeasure analysis module 15 is used to obtain a countermeasure interference evaluation function and perform countermeasure analysis on the target interference effect according to the countermeasure interference evaluation function to obtain a target countermeasure index; Specifically, by obtaining a countermeasure interference evaluation function and performing countermeasure analysis on the target interference effect based on this function, and finally obtaining a target countermeasure index, it aims to achieve scientific evaluation and quantification of the performance of the drone countermeasure interference equipment, providing a solid basis for the adjustment of countermeasure strategies and the improvement of equipment.

[0032] First, after completing the interference on the target UAV, the target interference records will be collected. These records contain key data such as the intensity, frequency, duration of the interference signal, and the response of the UAV. Then, the system obtains the countermeasure interference evaluation function, which is usually a mathematical model that comprehensively considers various factors. For example, the attenuation degree of the interference signal intensity, the duration of the UAV communication interruption, the deviation degree of the flight attitude, etc. These factors are combined through specific weights and calculation methods to form a quantitative index that can comprehensively reflect the countermeasure interference effect. In a specific example, the countermeasure interference evaluation function can be expressed as: Target countermeasure index = α×Interference signal intensity attenuation rate + β×Communication interruption duration + γ×Flight attitude deviation degree, where α, β, and γ are the weight coefficients of each factor, and α + β + γ = 1. Next, the system conducts a countermeasure analysis on the target interference effect according to this evaluation function. By substituting the data in the actual interference records into the function for calculation, a specific target countermeasure index is obtained. This index can intuitively reflect the interference effect of the countermeasure interference device on the target UAV. The higher the index, the better the interference effect. On the contrary, it indicates that the interference effect is not good and the countermeasure strategy needs to be further optimized.

[0033] In summary, through the in-depth evaluation and analysis of the target interference effect, the accurate quantification and scientific evaluation of the performance of the UAV countermeasure interference device have been successfully achieved, providing key support for the continuous optimization and intelligent development of UAV countermeasure technology.

[0034] The countermeasure quantification module 16 is used to quantify the countermeasure ability of the target countermeasure interference device carried on the target UAV through the target countermeasure index.

[0035] Specifically, quantifying the countermeasure ability of the countermeasure interference device carried on the target UAV through the target countermeasure index aims to achieve a scientific evaluation of the performance of the countermeasure interference device. First, after completing the evaluation and analysis of the target interference effect, a specific target countermeasure index will be obtained. This index is calculated through a scientific evaluation function by comprehensively considering various factors such as the intensity, frequency, duration of the interference signal, and the response of the UAV. Then, this index is applied to the performance quantification of the countermeasure interference device carried on the target UAV. In a specific example, if the target countermeasure index is relatively high, it indicates that the device has strong anti-interference ability and recovery ability when facing interference. On the contrary, it indicates that its performance needs to be improved. For example, through multiple experiments, it is found that when the target countermeasure index reaches more than 80 points, the UAV can quickly return to stable flight after being interfered, while when it is less than 50 points, the UAV will have abnormal flight or even crash. Therefore, through this index, the actual performance of the countermeasure interference device can be intuitively understood.

[0036] In summary, through the application of the target countermeasure index, the accurate quantification and scientific evaluation of the performance of UAV countermeasure interference equipment have been successfully achieved, providing key support for the continuous optimization and intelligent development of UAV countermeasure technologies.

[0037] Furthermore, the signal analysis module is also used for: Reading predefined communication metrics; Collecting features of the target UAV based on the predefined communication metrics to obtain target communication signal features; Reading predefined navigation metrics; Collecting features of the target UAV based on the predefined navigation metrics to obtain target navigation signal features; The target communication signal features and the target navigation signal features together form the target signal features.

[0038] Furthermore, the predefined communication metrics at least include frequency band, signal type, modulation method, coding method, and communication protocol.

[0039] Furthermore, the predefined navigation metrics at least include satellite navigation system, positioning method, and navigation mode.

[0040] Specifically, by reading the predefined communication metrics and navigation metrics, features of the target UAV are collected respectively, and finally the target communication signal features and the target navigation signal features are integrated into the target signal features, aiming to comprehensively and accurately obtain the signal characteristics of the UAV.

[0041] First, read the predetermined communication metrics, which at least include frequency band, signal type, modulation method, coding method, and communication protocol. For example, in a common consumer drone scenario, the frequency band may be concentrated in 2.4 GHz or 5.8 GHz, the signal type is digital signal, the modulation method may be QPSK or OFDM, the coding method is convolutional code or Turbo code, and the communication protocol follows a specific drone communication standard. Then, based on these predetermined communication metrics, collect features of the target drone. Through professional signal receiving and processing equipment, capture the signals emitted by the drone during communication, and extract the feature information that conforms to the above metrics from them to obtain the target communication signal features. Next, read the predetermined navigation metrics, which at least include satellite navigation system, positioning method, and navigation mode. Taking the satellite navigation system as an example, it may be the GPS, Beidou, or Galileo system, the positioning method is autonomous positioning or differential positioning, and the navigation mode includes waypoint navigation, route navigation, etc. Based on these predetermined navigation metrics, the system collects features of the target drone again, obtains the relevant signal features during its navigation, such as the receiving frequency of satellite signals, positioning accuracy, navigation data update rate, etc., so as to obtain the target navigation signal features. Finally, integrate the target communication signal features and the target navigation signal features to form complete target signal features. This integration process ensures that the system can comprehensively understand the signal characteristics of the target drone from multiple dimensions, providing a rich and accurate data basis for subsequent analysis and processing.

[0042] In summary, through the systematic collection and integration of the communication and navigation signal features of the drone, the comprehensive acquisition of the signal characteristics of the target drone is successfully achieved, providing key support for the precise implementation of drone monitoring, tracking, and countermeasure technologies.

[0043] Furthermore, the signal analysis module is also used for: Extract the first interference signal from the interference database and obtain the first data set of the first interference signal; Based on the predetermined communication metrics and the predetermined navigation metrics, traverse and match in the first data set to obtain the first signal feature of the first interference signal; Perform a similarity analysis on the target signal feature and the first signal feature to obtain the first similarity; If the first similarity reaches the predetermined similarity threshold, then use the first interference signal as the target interference signal.

[0044] Specifically, first, extract the first interference signal from the interference database and obtain its first data set. This database usually stores various known UAV models and their corresponding interference signal templates, which are accumulated through a large number of experiments and practical applications. For example, the database may contain interference signal data of different types such as common consumer UAVs, industrial UAVs, and military reconnaissance UAVs. Then, based on the predetermined communication metrics and predetermined navigation metrics, traverse and match in the first data set. These metrics cover the key characteristics of UAV communication and navigation, such as the communication frequency band, signal type, modulation method, coding method, communication protocol, as well as the satellite system, positioning method, and navigation mode of navigation. The system uses intelligent algorithms to compare the signal characteristics in the first data set one by one to find the part that matches the target signal characteristics, thereby obtaining the first signal characteristics of the first interference signal. In a specific example, if the communication frequency band of the target UAV is 2.4 GHz and the modulation method is QPSK, and a certain interference signal template in the database happens to have the same frequency band and modulation method, then the signal characteristics of this template will be extracted as the first signal characteristics. Next, perform a similarity analysis on the target signal characteristics and the first signal characteristics to obtain the first similarity. This analysis process usually uses specific similarity calculation algorithms, such as cosine similarity, Euclidean distance, etc., to quantify the similarity between the two. If the first similarity reaches the predetermined similarity threshold, for example, the set threshold is 85%, it indicates that the first interference signal has a high degree of matching with the signal characteristics of the target UAV and can effectively interfere with the communication and navigation systems of the target UAV. Therefore, this first interference signal is used as the target interference signal. In a specific example, after the similarity calculation, if the first similarity reaches 90%, which is higher than the set 85% threshold, it is determined that this first interference signal is the target interference signal for subsequent interference emission steps.

[0045] In summary, through the precise matching and similarity analysis of the signals in the interference database, the accurate acquisition of the target interference signal is successfully achieved.

[0046] Furthermore, the signal analysis module is also used for: Extract the first interference simulation record in the first data set; Read the predetermined interference effect metrics and traverse and extract the first interference simulation record based on the predetermined interference effect metrics to obtain the first interference effect parameter; Perform a weighted calculation on the normalized first interference effect parameter to obtain the first interference effect coefficient; Adjust the first similarity with the first interference effect coefficient as the adjustment weight.

[0047] Furthermore, the predetermined interference effect indicators at least include the signal strength degradation rate, the frequency of data transmission interruption, the bit error rate, and the navigation deviation rate.

[0048] Specifically, first, extract the first interference simulation records in the first data group from the interference database. These simulation records usually contain data under various interference scenarios, such as information on different environmental conditions, UAV models, and interference intensities. Then, read the predetermined interference effect indicators, which at least include the signal strength degradation rate, the frequency of data transmission interruption, the bit error rate, and the navigation deviation rate. Based on these indicators, the system traverses and extracts the first interference simulation records to obtain the first interference effect parameters. For example, in a simulated interference scenario, the signal strength degradation rate is 30%, the frequency of data transmission interruption is 5 times per minute, the bit error rate is 2%, and the navigation deviation rate is 10 meters. Next, perform a weighted calculation on the normalized first interference effect parameters to obtain the first interference effect coefficient. Normalization is to unify parameters with different dimensions and magnitudes to the same scale for convenient comprehensive calculation. The weighted calculation assigns different weights according to the importance of each interference effect indicator. For example, the weight of the signal strength degradation rate is 0.4, the weight of the frequency of data transmission interruption is 0.3, the weight of the bit error rate is 0.2, and the weight of the navigation deviation rate is 0.1. Through the weighted calculation, a coefficient comprehensively reflecting the interference effect, that is, the first interference effect coefficient, is obtained. Finally, use this coefficient as the adjustment weight to adjust the previously obtained first similarity. For example, if the first similarity is 80% and the first interference effect coefficient is 0.85, the adjusted similarity is 80%×0.85 = 68%. This adjustment process fully considers the actual performance of the interference effect, so that when selecting the target interference signal, not only the matching degree of the signal characteristics is concerned, but also the actual effect of the interference is taken into account, thus improving the accuracy and effectiveness of the countermeasure.

[0049] In summary, through the in-depth mining and analysis of the interference simulation records and the quantitative evaluation combined with the predetermined interference effect indicators, the optimization adjustment of the interference signal selection is successfully achieved.

[0050] Furthermore, the interference evaluation module is also used to: obtain the interference effect benchmark, and perform a weighted calculation on the interference effect benchmark with the first interference effect coefficient as the interference effect evaluation weight to obtain the target interference effect.

[0051] Specifically, by obtaining a reference interference effect and performing a weighted calculation on the reference with the first interference effect coefficient as the weight, the target interference effect is obtained. First, the reference interference effect is obtained. This reference is usually a pre-set standard value that can reflect the ideal interference effect and comprehensively considers various factors such as the type of UAV, flight state, environmental conditions, etc. For example, in a standard test scenario, for a certain model of consumer UAV, the reference interference effect may be set as follows: in an open area without obstruction, the interference signal can reduce the signal strength of the UAV by 80%, the frequency of data transmission interruption is 10 times per minute, the bit error rate is 5%, and the navigation deviation rate is 20 meters. Then, using the first interference effect coefficient calculated previously as the weight for evaluating the interference effect, a weighted calculation is performed on the reference interference effect. The first interference effect coefficient is obtained through a weighted calculation of the first interference effect parameter after normalization, and it reflects the deviation degree between the actual interference effect and the ideal interference effect. In a specific example, if the first interference effect coefficient is 0.85 and the reference interference effect is 100 points, then the target interference effect is 100×0.85 = 85 points. This score can intuitively reflect the gap between the actual interference effect and the ideal effect, providing a clear reference for the operator. In summary, through the weighted calculation of the reference interference effect, the accurate quantification and scientific evaluation of the UAV interference effect are successfully achieved.

[0052] Furthermore, the interference evaluation module is also used for: judging whether the target interference effect reaches a predetermined interference constraint; if it does not reach the predetermined interference constraint, adjusting the target interference signal.

[0053] Specifically, by determining whether the target interference effect reaches a predetermined interference constraint, if it does not reach, the target interference signal is adjusted. First, the target interference effect is obtained, which is calculated by weighting the interference effect benchmark with the first interference effect coefficient. Then, this target interference effect is compared with the predetermined interference constraint. The predetermined interference constraint is a standard set according to actual countermeasure requirements. For example, it is required that the interference effect reaches at least 80 points (out of 100) to be considered an effective interference. If the target interference effect does not reach this predetermined interference constraint, it automatically enters the interference signal adjustment process. In a specific example, if the target interference effect is 75 points, lower than the predetermined interference constraint of 80 points, the system determines that the current interference signal is not sufficient to effectively counter the target unmanned aerial vehicle. Next, the system will adjust the target interference signal. The adjustment methods may include changing parameters such as the intensity, frequency, modulation method, etc. of the interference signal, or switching to another more suitable interference signal template. For example, the system may increase the intensity of the interference signal from the original -30 dBm to -25 dBm to enhance the interference effect; or change the frequency of the interference signal from 2.4 GHz to 5.8 GHz to match the communication characteristics of the target unmanned aerial vehicle in different frequency bands. In addition, the system may also dynamically adjust the parameters of the interference signal according to the real-time feedback information of the target unmanned aerial vehicle. For example, when it is detected that the communication system of the unmanned aerial vehicle has adapted to the interference in a certain frequency band, the system will promptly switch to another frequency band to continue the interference to ensure the effectiveness of the interference measures. In summary, through the real-time judgment of the target interference effect and the dynamic adjustment of the interference signal, the precise control of the process of countering and interfering with unmanned aerial vehicles is successfully achieved.

[0054] Furthermore, the countermeasure analysis module is also used for: The expression of the countermeasure interference evaluation function is: ; is the target countermeasure index, is the target interference effect, is the th parameter in the first interference effect parameter , and there are parameters in the first interference effect parameter, and is an integer greater than or equal to 4, is the th parameter of the weighted coefficient.

[0055] Specifically, the expression of the countermeasure interference evaluation function is: ; is the target countermeasure index, is the target interference effect, is the th parameter among the first interference effect parameters , and there are parameters in the first interference effect parameters, and is an integer greater than or equal to 4, that is, it includes at least the parameters corresponding to the signal strength degradation rate, the data transmission interruption frequency, the bit error rate, and the navigation deviation rate. is the th parameter 's weighting coefficient.

[0056] In summary, the drone countermeasure interference device provided by the present application has the following technical effects: Through the monitoring and locking module, which is used to capture and lock the target drone through a monitoring device; the signal analysis module, which is used to obtain the target signal characteristics of the target drone and traverse and match the target signal characteristics in the interference database to obtain the target interference signal; the interference emission module, which is used to activate the emission device and transmit the target interference signal to the target drone through the emission device, and monitor in real time to obtain the target interference record; the interference evaluation module, which is used to evaluate and analyze the target interference record to obtain the target interference effect; the countermeasure analysis module, which is used to obtain the countermeasure interference evaluation function and perform countermeasure analysis on the target interference effect according to the countermeasure interference evaluation function to obtain the target countermeasure index; the countermeasure quantization module, which is used to quantify the countermeasure ability of the target countermeasure interference device carried on the target drone through the target countermeasure index. It achieves the effects of accurately positioning and identifying the target drone, selecting a suitable interference signal according to its signal characteristics and transmitting it in real time, and at the same time, through real-time monitoring and scientific evaluation of the interference effect, timely adjusting the interference strategy, and finally quantifying the performance of the drone countermeasure interference device by using the countermeasure interference evaluation function.

[0057] The above description of the disclosed embodiments enables those skilled in the art to implement or use the present application. Various modifications to these embodiments will be apparent to those skilled in the art, and the general principles defined herein can be implemented in other embodiments without departing from the spirit or scope of the present application. Therefore, the present application will not be limited to these embodiments shown herein, but rather to the widest scope consistent with the principles and novel features disclosed herein.

[0058] Obviously, those skilled in the art can make various changes and modifications to the present application without departing from the spirit and scope of the present application. Thus, if these modifications and variations of the present application fall within the scope of the present application and its equivalent technologies, the present application is also intended to include these changes and variations.

Claims

1. The UAV anti-jamming device is characterized by: The UAV anti-interference device comprises: A surveillance and locking module, which is used to capture and lock the target drone through surveillance equipment; A signal analysis module, which is used to obtain the target signal characteristics of the target UAV, and traverse and match the target signal characteristics in the interference database to obtain a target interference signal; An interference transmission module, which is used to activate a transmission device, transmit the target interference signal to the target UAV through the transmission device, and obtain target interference records through real-time monitoring; An interference evaluation module, which is used to evaluate and analyze the target interference record to obtain a target interference effect; A countermeasure analysis module, which is used to obtain a countermeasure interference evaluation function, and perform a countermeasure analysis on the target interference effect according to the countermeasure interference evaluation function to obtain a target countermeasure index; The countermeasure quantification module is used to quantify the countermeasure capability of the target countermeasure jammer carried by the target UAV through the target countermeasure index.

2. The UAV anti-jamming device according to claim 1, characterized in that: The signal analysis module is also used for: Reading predetermined communication indicators; Based on the predetermined communication index, characteristics of the target UAV are collected to obtain target communication signal characteristics; Reading predetermined navigation indicators; Collecting characteristics of the target UAV based on the predetermined navigation index to obtain target navigation signal characteristics; The target communication signal characteristics and the target navigation signal characteristics constitute the target signal characteristics.

3. The UAV anti-jamming device as claimed in claim 2, characterized in that: The predetermined communication indicators include at least frequency band, signal type, modulation method, coding method and communication protocol.

4. The UAV anti-jamming device as claimed in claim 2, characterized in that: The predetermined navigation index at least includes a satellite navigation system, a positioning method and a navigation mode.

5. The UAV anti-jamming device as claimed in claim 2, characterized in that: The signal analysis module is also used for: Extracting a first interference signal from the interference database, and acquiring a first data group of the first interference signal; Based on the predetermined communication indicator and the predetermined navigation indicator, traverse and match in the first data group to obtain a first signal feature of the first interference signal; Performing a similarity analysis on the target signal feature and the first signal feature to obtain a first similarity; If the first similarity reaches a predetermined similarity threshold, the first interference signal is used as the target interference signal.

6. The UAV anti-jamming device as claimed in claim 5, characterized in that: The signal analysis module is also used for: Extracting a first interference simulation record in the first data group; Reading a predetermined interference effect indicator, and traversing and extracting the first interference simulation record based on the predetermined interference effect indicator to obtain a first interference effect parameter; Performing weighted calculation on the first interference effect parameter after normalization to obtain a first interference effect coefficient; The first similarity is adjusted using the first interference effect coefficient as an adjustment weight.

7. The UAV anti-jamming device as claimed in claim 6, characterized in that: The predetermined interference effect indicators include at least a signal strength drop rate, a data transmission interruption frequency, a bit error rate, and a navigation deviation rate.

8. The UAV anti-jamming device as claimed in claim 6, characterized in that: The interference evaluation module is further used to: obtain an interference effect benchmark, and perform weighted calculation on the interference effect benchmark using the first interference effect coefficient as an interference effect evaluation weight to obtain the target interference effect.

9. The UAV anti-jamming device as claimed in claim 8, characterized in that: The interference assessment module is also used for: Determining whether the target interference effect reaches a predetermined interference constraint; If the predetermined interference constraint is not met, the target interference signal is adjusted.

10. The UAV anti-jamming device as claimed in claim 6, characterized in that: The countermeasure analysis module is also used for: The expression of the counter-interference evaluation function is: ； is the target counter-attack index, is the target interference effect, is the first interference effect parameter Parameters The first interference effect parameter has parameters, and is an integer greater than or equal to 4, It is the Parameters The weighting coefficient of .

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