Quick Response Detection and Interdiction Integrated System

Abstract

This application relates to the field of low-altitude air defense technology and discloses a rapid response detection and interference integrated system, including: a target detection module, which is used to detect the signals of low-altitude targets through spectrum analysis and estimate the target status. The low-altitude targets include unmanned aerial vehicles, small aircraft, cruise missiles, airships, balloons, and aircraft; a signal interference module, which is connected to the target detection module and is used to generate interference signals according to the target communication frequency band and position provided by the target detection module, and implement interference on low-altitude targets through directional interference technology; a countermeasure command module, which is connected to the signal interference module. Through the integration of target detection, directional interference, and dynamic resource scheduling, the present invention realizes high-precision tracking, precise interference, and optimized interference resource allocation for low-altitude targets, effectively improving the response speed, interference efficiency, and resource utilization rate of the system.

Description

Technical Field

[0001] The present invention relates to the technical field of low-altitude air defense technology, and specifically to a rapid response detection and interference integrated system. Background Art

[0002] With the progress of technology, the threat of low-altitude targets has gradually increased; the wide application of low-altitude flying objects such as unmanned aerial vehicles, small aircraft, cruise missiles, airships, and balloons in military, security, and civilian fields has made low-altitude air defense systems become increasingly important. These targets usually fly at low altitudes and have rapidly changing trajectories, which makes it difficult for existing traditional air defense technologies to effectively respond. To ensure the security of important areas, the ability to quickly respond and precisely interfere with low-altitude targets is crucial.

[0003] Currently, defense systems for low-altitude targets have been developed to a certain extent, especially some progress has been made in target detection and interference technologies. In the prior art, low-altitude target detection usually uses devices such as radar and infrared sensors, and these technologies can provide basic target recognition and tracking information. At the same time, signal interference technologies have also been applied, and interference devices disrupt the communication between the target and the control station by emitting high-power signals. Existing interference technologies can achieve interference with targets within a certain range, especially in relatively simple environments, and can effectively block the communication link of the target, thereby reducing its ability to perform tasks.

[0004] However, the prior art shows certain deficiencies when facing complex and dynamically changing environments; firstly, existing low-altitude target detection systems usually rely on a single type of sensor, such as radar or infrared systems, and these technologies have poor adaptability in the case of frequently changing target trajectories or complex electromagnetic environments, resulting in insufficient detection accuracy. Secondly, traditional signal interference systems use fixed frequency bands or wide-coverage interference methods, which are prone to interfering with other non-target signals in the surrounding area, causing waste of resources, and the interference effect is easily affected by the mobility of the target, and precise interference cannot be achieved. In addition, existing countermeasure command modules usually lack real-time dynamic adjustment capabilities and are difficult to quickly adjust interference strategies according to the changes of the target, which leads to difficulty in maintaining the best interference effect in the case of rapid changes of the target. Summary of the Invention

[0005] Aiming at the deficiencies of the prior art, the present invention provides a rapid response detection and interference integrated system, which solves the problems of insufficient detection accuracy of low-altitude targets, inaccurate signal interference, lag in interference strategy adjustment, and unreasonable resource allocation in the prior art.

[0006] To achieve the above object, the present invention is implemented through the following technical solutions: a rapid response detection and jamming integrated system, comprising: a target detection module, configured to detect signals of low-altitude targets through spectrum analysis and perform target state estimation, where the low-altitude targets include unmanned aerial vehicles, small aircraft, cruise missiles, airships, balloons, and aircraft;

[0007] A signal jamming module, connected to the target detection module, configured to generate a jamming signal according to the target communication frequency band and position provided by the target detection module, and implement jamming on the low-altitude target through directional jamming technology;

[0008] A countermeasure command module, connected to the signal jamming module, configured to generate a jamming instruction according to the low-altitude target threat assessment result provided by the target detection module and the jamming resource allocation situation of the signal jamming module, and command the jamming equipment to implement jamming;

[0009] A data acquisition module, respectively connected to the target detection module, the signal jamming module, and the countermeasure command module, configured to collect real-time data of the low-altitude target and the jamming equipment, and transmit the data to the central control platform for processing;

[0010] An optimization scheduling module, connected to the data acquisition module, based on the real-time data fed back by the central control platform, dynamically adjusts the jamming signal frequency, power, and direction in the signal jamming module.

[0011] Preferably, the target detection module includes:

[0012] A spectrum scanning device, configured to scan the radio frequency band and obtain the signal strength, frequency, and bandwidth information of the target;

[0013] A target state estimation unit, based on the received signal, uses the Kalman filtering algorithm to optimize the estimation of the target position and speed;

[0014] A target recognition unit, based on the signal characteristics, performs target recognition and generates a threat assessment of the target.

[0015] Preferably, the signal jamming module includes:

[0016] A jamming signal generation unit, configured to generate a jamming signal according to the target communication frequency band and position;

[0017] A jamming beam adjustment unit, configured to adjust the direction and intensity of the jamming signal through an antenna array to achieve directional jamming;

[0018] An optimal control unit, based on the target state and jamming effect, optimizes the frequency, power, and phase of the signal.

[0019] Preferably, the countermeasure command module includes:

[0020] An instruction generation unit, configured to generate interference instructions according to the threat assessment result and the system status;

[0021] An instruction transmission unit, configured to transmit the interference instructions to the interference device and implement interference.

[0022] Preferably, the optimization scheduling module includes:

[0023] A multi-objective optimization unit, configured to perform optimization scheduling according to the threat levels, positions of multiple targets, and interference resources;

[0024] A dynamic adjustment unit, configured to dynamically adjust the parameters of the interference signal according to real-time feedback.

[0025] Preferably, the target state estimation unit includes:

[0026] A Kalman filter, configured to optimize the estimation of the target position and speed based on the historical state of the target and current observation data; a Bayesian inference unit, configured to update the probability distribution of the target state according to the previous estimation and real-time signals, and optimize the target state estimation result to ensure the robustness and accuracy of target tracking.

[0027] Preferably, the interference signal generation unit includes:

[0028] An interference signal modulation unit, configured to generate different types of interference signals according to the signal interference strategy;

[0029] An interference source allocation unit, configured to dynamically allocate and adjust the operating frequency and output power of the interference source according to the communication frequency band of the target and the threat assessment result.

[0030] Preferably, the instruction generation unit includes:

[0031] A threat assessment unit, configured to quantitatively analyze the real-time threats of each target, evaluate the aggressiveness, priority, and flight mode of the target, and allocate interference resources accordingly;

[0032] A multi-objective scheduling unit, according to the threat assessment result of each target, dynamically adjusts the allocation of interference resources based on the multi-objective optimization algorithm, and generates precise interference instructions for each target.

[0033] Preferably, the target recognition unit includes:

[0034] A target classification unit, configured to classify the target based on the received signal characteristics and generate target category information;

[0035] A target behavior analysis unit, configured to analyze the flight trajectory and communication mode of the target, and identify the aggressiveness and purpose of the target by comparing historical data and real-time signals.

[0036] Preferably, the dynamic adjustment unit includes:

[0037] A real-time data acquisition unit for obtaining the status of the target, the feedback information of the interference signal, and the interaction data between the target and the interference device in real time from the target detection module, the signal interference module, and the countermeasure command module;

[0038] A feedback processing unit for analyzing and processing the real-time data to generate an optimization result for adjusting the parameters of the interference signal;

[0039] A parameter adjustment unit for dynamically adjusting the frequency, power, and direction of the interference signal according to the optimization result of the feedback processing unit.

[0040] The present invention provides a fast-response detection and interference integrated system, which has the following beneficial effects:

[0041] 1. The present invention adopts a technical solution combining spectrum analysis and target detection. By capturing the communication signals of low-altitude targets in real time and accurately estimating their positions and speeds, it realizes the efficient tracking and state estimation of the targets. Compared with the data acquisition method relying on a single sensor in the prior art, the present invention improves the accuracy and robustness of target detection through multi-source data fusion, and overcomes the deficiencies of traditional methods in capturing targets in complex environments.

[0042] 2. The present invention adopts a technical solution of directional interference technology and real-time optimization control. By adjusting the direction and power of the interference signal through an antenna array, it realizes the precise interference of the target. Compared with the widely used wide-area interference method in the prior art, the present invention can accurately direct the interference signal to the target, avoiding interference to non-target areas, and significantly improving the interference efficiency and resource utilization rate.

[0043] 3. Through the command generation and dynamic adjustment mechanism of the countermeasure command module, the present invention generates accurate interference commands in real time according to the target threat assessment and interference resource allocation, and commands the interference device to implement refined interference. Compared with the lack of intelligent adjustment and real-time feedback mechanism in the traditional technology, the present invention can quickly adjust the strategy according to the dynamic changes of the target, ensuring the rapid response and flexible adaptation of the system, and improving the overall response ability of the system.

[0044] 4. Through the feedback regulation and adaptive ability of the optimization scheduling module, the present invention dynamically adjusts the frequency, power, and direction of the interference signal based on real-time data, and optimizes the allocation of interference resources. Compared with the static interference configuration scheme in the prior art, the present invention can adjust in real time according to the changes of the target and the environment, avoiding resource waste, enhancing the self-adaptability and efficiency of the system, and effectively ensuring the maximization of the interference effect. BRIEF DESCRIPTION OF THE DRAWINGS

[0045] Figure 1Schematic diagram for the system construction of the present invention;

[0046] Figure 2 Frame diagram of the target detection module of the present invention;

[0047] Figure 3 Frame diagram of the signal interference module of the present invention;

[0048] Figure 4 Frame diagram of the countermeasure command module of the present invention;

[0049] Figure 5 Frame diagram of the optimization scheduling module of the present invention;

[0050] Figure 6 Frame diagram of the target state estimation unit of the present invention;

[0051] Figure 7 Frame diagram of the interference signal generation unit of the present invention;

[0052] Figure 8 Frame diagram of the command generation unit of the present invention;

[0053] Figure 9 Frame diagram of the target recognition unit of the present invention;

[0054] Figure 10 Frame diagram of the dynamic adjustment unit of the present invention. Detailed implementation manners

[0055] Next, in combination with the accompanying drawings of the present invention, the technical solutions in the embodiments of the present invention will be clearly and completely described. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative efforts shall fall within the protection scope of the present invention.

[0056] Please refer to the appended Figure 1 - appended Figure 10 , the embodiments of the present invention provide a fast response detection and interference integrated system, including:

[0057] A target detection module, configured to detect the signals of low-altitude targets through spectrum analysis and perform target state estimation. The low-altitude targets include unmanned aerial vehicles, small aircraft, cruise missiles, airships, balloons, and aircraft;

[0058] The target detection module is used to detect the signals of low-altitude targets through spectrum analysis technology and estimate the target status. This module mainly detects and tracks low-altitude targets (such as drones, small aircraft, cruise missiles, airships, balloons, and aircraft). The detection module uses spectrum analysis technology to analyze information such as the frequency, intensity, and bandwidth of the target signal, and realizes the identification of the target through these features, and further estimates the target status, including its position, speed, and movement trajectory.

[0059] Specifically, in this embodiment, the target detection module comprehensively scans the communication signals of low-altitude targets through a spectrum scanning device. The acquired signals are further processed by the target status estimation unit to obtain dynamic information such as the specific position and speed of the target. The status of the target is optimized and updated through algorithms such as Kalman filtering and Bayesian inference to achieve precise tracking of the target.

[0060] The spectrum scanning device scans the frequency bands of target communication. Low-altitude targets usually emit radio signals within specific frequency bands. Therefore, through spectrum scanning, the radio waves emitted by the target can be detected. The working frequency band of the spectrum scanning device generally covers a wide spectrum range from 20 MHz to 6 GHz. After detecting the signal, the system obtains information such as the frequency, intensity, and bandwidth of the signal. These signal characteristics provide key data for subsequent target identification and status estimation.

[0061] As an option, multiple sensors can be combined in the target detection module for data fusion. For example, in addition to spectrum scanning, the observation data of radar or optoelectronic sensors can also be combined for supplementary detection of the target, thereby improving the accuracy and robustness of detection.

[0062] Specifically, the target status estimation unit decodes and analyzes the signal, and uses the Kalman filtering algorithm to optimize the status of the target. The Kalman filter can dynamically estimate the position and speed of the target by processing historical observation data and current observation data, and predict the future position of the target.

[0063] In a possible implementation, the estimation formula of the Kalman filter for the target status is:

[0064]

[0065] Where, is the current status estimation of the target, A is the state transition matrix, is the status estimation at the previous moment, B is the control input matrix, u t is the control input, representing, for example, the speed or external force of the target.

[0066] In the above formula, the Kalman filter predicts the target state and combines the noise model to perform an optimal estimation of the target's true state. This is crucial for quickly and accurately tracking the position and velocity of low-altitude targets. Combining with the recursive calculation method of the Kalman filter, the present invention can ensure real-time tracking of the target in a complex electromagnetic environment, avoiding misjudgments caused by a single sensor.

[0067] In some embodiments, the target state estimation unit can also combine the Bayesian inference algorithm to update the probability of the target state. Bayesian inference can dynamically update the state distribution of the target based on the prior state information of the target and new observation data. The core formula of Bayesian inference is:

[0068]

[0069] where p(x t ) is the prior probability of the target state, p(z t |x t ) is the observation probability of the target under the given state, p(z t ) is the normalization constant of the observation, and p(x t |z t ) is the posterior probability of the target state.

[0070] By combining the Kalman filter and Bayesian inference, this embodiment can perform effective target state estimation when the received signal has a high noise level, and further optimize the accuracy of the target state over time.

[0071] In some embodiments, the target recognition unit further uses the signal characteristics of the target for target recognition to help the system determine the target type. For example, by performing feature analysis on the received spectrum signal, different types of low-altitude targets such as drones, small aircraft, and airships can be distinguished. At this time, the target recognition unit uses a certain algorithm model for pattern matching, based on features such as the frequency, intensity, and modulation method of the signal, to identify the category of the target and generate corresponding threat assessment information.

[0072] In addition, the target behavior analysis unit analyzes the flight trajectory and communication mode of the target to further identify the aggressiveness and intention of the target. This information is crucial for the system to make decisions in the subsequent countermeasure command module. For example, when the target has an abnormal flight trajectory or communication mode, the system will identify the possible threats and respond quickly.

[0073] The signal interference module, connected to the target detection module, is used to generate interference signals based on the target communication frequency band and location provided by the target detection module, and implement interference on low-altitude targets through directional interference technology;

[0074] In this embodiment, the signal interference module is connected to the target detection module, and is used to generate interference signals according to the target communication frequency band and location provided by the target detection module, and implement interference on low-altitude targets through directional interference technology. The main task of this module is to interfere with the communication signals between low-altitude targets and their control stations, forcing the targets to lose control or change their courses, so as to effectively prevent the targets from entering no-fly zones or performing other threatening behaviors.

[0075] The signal interference module generates interference signals according to the target communication frequency band and location provided by the target detection module. Specifically, the target detection module captures the communication signals of the target in real time through a spectrum scanning device, analyzes their characteristics such as frequency band, bandwidth, intensity, etc., and generates the communication frequency band and location information of the target. The signal interference module generates interference signals based on this information.

[0076] The process of generating interference signals generally proceeds according to the following steps:

[0077] First, the system confirms the frequency band range of the target communication through the target detection module. This frequency band can be the operating frequency band of the target (such as the UAV control signal frequency band), or other communication frequency bands that the target may use. According to the target communication frequency band information, the signal interference module generates interference signals that match the target frequency band to ensure that the interference signals interfere with the target's communication signals.

[0078] As an option, the interference signal generation unit can adopt a variety of different interference methods. For example, the interference signal can be a random noise signal, a continuous wave interference signal, or a pseudo-random modulation signal, etc. The generated interference signals are adjusted by parameters such as frequency, power, and modulation method to meet the needs of different targets, ensuring the maximum effect of the interference signals.

[0079] Specifically, the signal interference module performs precise interference on the target through directional interference technology. In a possible implementation, the signal interference module uses an antenna array to focus the energy of the interference signal, thereby achieving directional interference on the target. The directional interference technology can ensure that the interference signal is focused on the location of the target without affecting other surrounding communication signals, avoiding interference with non-target signals.

[0080] The working principle of the antenna array is based on beamforming technology. Beamforming technology generates an electromagnetic wave beam pointing in a specific direction by adjusting parameters such as the phase and amplitude of multiple antenna elements. This beam can accurately point to the location of the target and effectively cover the target's communication frequency band, thereby achieving interference on the target communication signal.

[0081] In some embodiments, the frequency and power of the interference signal are adjusted in real time according to the dynamic changes of the target. When the target moves, the interference signal adjusts the beam pointing and power output according to the current position and flight direction of the target to ensure that the target is always within the interference range. This process is implemented by the optimal control unit in the signal interference module, and the optimal control unit dynamically adjusts the parameters of the interference signal according to the state information of the target (such as position, speed, flight trajectory, etc.).

[0082] Specifically, the optimal control unit adjusts the frequency, power, and phase of the interference signal based on the optimization objective of the target state and interference effect. The optimization objective is to minimize the failure probability of the interference signal and maximize the effect of interfering with the target communication. The working formula of the optimal control unit is:

[0083]

[0084] where J is the optimization objective, x(t) is the state of the interference signal, u(t) is the control input of the interference signal (such as frequency, power, and phase), Q and R are weight matrices used to balance the influence of state variables and control inputs, T is the time span of the optimization process, usually representing the termination time of the optimization, and dt: time increment, representing each extremely small time unit in the optimization process, usually used to represent the small change in the integration operation.

[0085] By adjusting the frequency, power, and phase, the signal interference module can effectively interfere with the communication signal of the target, causing it to lose control or deviate from the predetermined orbit.

[0086] In some embodiments, the signal interference module can also dynamically adjust the frequency and power of the interference signal according to the distance between the target and the interference device. For example, the signal attenuation model generally follows the free space propagation model, and the propagation attenuation degree of the signal changes according to the distance between the target and the interference source. When the target is far away, the power of the interference signal needs to be appropriately increased to ensure that the interference signal can effectively reach the target. When the target is close, the power of the interference signal can be appropriately reduced to avoid unnecessary interference to other devices or target areas.

[0087] The free space propagation model can be expressed as:

[0088]

[0089] where P received is the received signal power, P transmitted is the transmitted signal power, and d is the distance between the transmitter and the receiving target.

[0090] In practical applications, the signal interference module needs to face a constantly changing environment and target behavior. Therefore, the signal interference module needs to be adjusted according to real-time feedback data. In this embodiment, the signal interference module is closely connected to the data acquisition module. By collecting the feedback data between the target and the interference device in real time, the interference strategy can be adjusted in a timely manner.

[0091] The data acquisition module is responsible for obtaining the feedback on the effect of the interference signal. For example, whether the target has a communication interruption, whether it changes its course, etc. Then, the feedback data is transmitted to the optimization scheduling module for further analysis and adjustment. The optimization scheduling module adjusts the frequency, power, and direction of the interference signal according to the real-time changes in the target state, so as to ensure the maximization of the interference effect.

[0092] The countermeasure command module, which is connected to the signal interference module, is used to generate interference commands according to the low-altitude target threat assessment result provided by the target detection module and the interference resource allocation situation of the signal interference module, and to command the interference device to implement interference; the countermeasure command module is connected to the signal interference module, and is used to generate interference commands according to the low-altitude target threat assessment result provided by the target detection module and the interference resource allocation situation of the signal interference module, and to command the interference device to implement interference. As the core decision-making unit of the system, this module is responsible for integrating the feedback information from the target detection module and the signal interference module, formulating specific interference strategies, so as to achieve precise countermeasures against low-altitude targets.

[0093] In this embodiment, the countermeasure command module generates interference commands through the command generation unit. These interference commands include key parameters such as the frequency, power, and beam direction of the interference signal. According to the threat assessment of the target, the countermeasure command module can quickly adjust the interference strategy to cope with different attack modes, flight trajectories, and threat levels of the target. All interference commands are transmitted to the interference device and guide the interference device to implement precise interference.

[0094] In this embodiment, the command generation unit of the countermeasure command module is the "brain" of the entire system, and generates interference commands according to the real-time threat assessment result provided by the target detection module and the interference resource allocation situation of the signal interference module.

[0095] Specifically, the working process of the command generation unit is as follows:

[0096] First of all, the target detection module will generate a threat assessment result of the target according to the signal characteristics of the target (including information such as frequency, intensity, bandwidth, etc.). The target detection module analyzes the flight trajectory, speed, type, and communication characteristics of the target, etc., so as to obtain the threat level and priority of the target. For example, for a target that is performing an attack mission, the system may assign a higher threat level and immediate countermeasures are required.

[0097] As an option, the threat assessment result may also include the flight mode of the target, such as straight flight, maneuvering flight, etc. Different flight modes may require different interference strategies. For example, for a target flying at high speed, the system may select a stronger interference signal and a more precise directional interference technology.

[0098] Based on these assessment results, the instruction generation unit analyzes the threat level, priority of each target, and the current interference resource allocation situation through a built-in optimization algorithm (such as a multi-objective optimization algorithm), and generates specific interference instructions. These interference instructions include:

[0099] Frequency of the interference signal: The frequency of the interference signal needs to match the communication frequency band of the target to ensure that the interference signal can effectively act on the target communication system.

[0100] Power of the interference signal: The power of the interference signal is determined by the threat level and distance of the target. For more threatening targets or targets at a closer distance, the power of the interference signal may need to be increased.

[0101] Direction of the interference beam: The direction of the interference beam needs to be adjusted according to the position and movement trajectory of the target to ensure that the interference signal is precisely directed at the target.

[0102] In a possible implementation, the interference instructions generated by the instruction generation unit are transmitted to the signal interference module. Specifically, these instructions are sent to the interference device that actually performs the interference task through the instruction transmission unit.

[0103] The instruction transmission unit ensures that the instructions can be transmitted in a timely manner and are not affected by factors such as signal interference and equipment failures. Instruction transmission usually occurs through an encrypted communication link to ensure that the instructions are not subject to external attacks or malicious tampering during the transmission process.

[0104] Once the interference instructions are received, the signal interference module immediately performs the corresponding interference operations, adjusting the frequency, power, and direction of the interference signal to maximize the interference of the target's communication link and ensuring that the target's communication signal is affected through directional interference.

[0105] In some embodiments, the instruction generation unit can also dynamically adjust the interference instructions according to the real-time position and flight mode of the target. For example, when the target quickly changes its course or flight mode, the system will regenerate the interference instructions according to the new state of the target and reschedule the interference signal.

[0106] In the countermeasure command module, the optimal scheduling of interference resource allocation is the key to ensuring the maximization of interference effects. The optimal scheduling module receives real-time data feedback from the data acquisition module, which includes the status of the targets, the effects of interference signals, and other important parameters. The optimal scheduling module will evaluate the current allocation of interference resources in real time and dynamically adjust the interference resources according to factors such as the threat level of the targets and environmental changes.

[0107] In some embodiments, the optimal scheduling module uses a multi-objective optimization algorithm to solve the problem of interference resource allocation. For the multi-objective case, the optimal scheduling module needs to consider the threat assessment results of multiple targets simultaneously and reasonably allocate limited interference resources. The optimization algorithm ensures that the system can not only maximize the interference effect but also make reasonable use of resources to avoid resource waste in the multi-objective situation.

[0108] The process of optimal scheduling generally includes the following steps:

[0109] Target threat assessment: According to the threat assessment results of the target detection module, the optimal scheduling module assigns a priority to each target. Targets with a high threat level will be given priority to obtain more interference resources.

[0110] Resource allocation: In the case of limited resources, the optimal scheduling module will reasonably allocate the power, frequency, and direction of the interference devices according to the threat level and location of the targets. At this time, the system will flexibly adjust the intensity and beam direction of the interference signals according to the distance and flight trajectory of the targets.

[0111] The data acquisition module is respectively connected to the target detection module, the signal interference module, and the countermeasure command module, and is used to collect real-time data of low-altitude targets and interference devices, and transmit the data to the central control platform for processing;

[0112] The data acquisition module is connected to the target detection module, the signal interference module, and the countermeasure command module, and is used to collect real-time data of low-altitude targets and interference devices, and transmit this data to the central control platform for processing. The main function of the data acquisition module is to monitor and record the status and working effects of each module in the system, and provide key real-time data support for the central control platform. This data will be used for further analysis, optimizing interference strategies, and judging the working status of the system.

[0113] In this embodiment, the collaborative work of the data acquisition module with the target detection module, the signal interference module, and the countermeasure command module ensures the comprehensive collection of data.

[0114] Data collection of the target detection module: The data collection module obtains information such as the real-time position, speed, and trajectory of the target from the target detection module. This information is obtained through the spectrum scanning device and the target state estimation unit in the target detection module. The spectrum scanning device provides data such as the communication frequency band, bandwidth, and signal strength of the target, while the target state estimation unit predicts the accurate position and speed of the target based on the Kalman filtering algorithm. The data collection module collects these estimated data in real time and provides a reference for subsequent decision-making.

[0115] Data collection of the signal interference module: The data collection module also collects relevant data of the interference signal from the signal interference module. Specifically, parameters such as the frequency, power, and beam direction of the interference signal change continuously during the interference process. The data collection module obtains and records these parameters in real time. By analyzing these data, the system can evaluate whether the current interference signal has achieved the expected effect and dynamically adjust the interference signal strategy according to the feedback of the target. The data collection module also monitors the working status of the interference device to ensure its normal operation.

[0116] Data collection of the countermeasure command module: The role of the countermeasure command module is to generate and command the interference device to execute the interference task according to the threat assessment result provided by the target detection module and the interference resource allocation situation of the signal interference module. The data collection module collects the generation situation of the command and the interference execution status from the countermeasure command module. By collecting data such as the successful execution of the interference command and the reaction speed of the device, the data collection module can provide feedback information for the system to further optimize the interference strategy.

[0117] In this embodiment, the data collection module is not only responsible for collecting data, but also needs to transmit these data to the central control platform in a timely manner. Through a stable network link, the data collection module uploads the collected real-time data to the central control platform for further processing. The central control platform conducts comprehensive analysis on the data, including threat assessment of the target, analysis of interference effects, and monitoring of the operation status of the device.

[0118] In a possible implementation manner, the process of data transmission can use an efficient encrypted communication protocol to ensure the security and integrity of the data. The transmitted data includes but is not limited to the signal data of the target, the parameters of the interference signal, the interaction data between the target and the interference device, etc. Through these data, the central control platform can monitor the operation status of the system in real time and optimize the strategy according to the threat assessment result of the target and the interference effect.

[0119] Specifically, the content of data transmission can include the following types of information:

[0120] Target state data: including the real-time position, speed, trajectory information, etc. of the target.

[0121] Interference signal data: including signal parameters such as frequency, power, beam direction, etc.

[0122] Interference effect data: including whether the interference signal successfully disrupts the target communication, whether the target changes its flight trajectory, etc.

[0123] System status data: including the operating status of each module, the working conditions of hardware devices, etc.

[0124] The data acquisition module works closely with the target detection module, the signal interference module, and the countermeasure command module to ensure the efficient circulation and processing of data. The real-time and comprehensiveness of the data acquisition module are crucial for the optimization of the entire system.

[0125] Collaboration with the target detection module: The real-time target information provided by the target detection module is one of the main sources of the data acquisition module. By obtaining the status information of the target, the data acquisition module can ensure that the reaction speed of the system matches the dynamic changes of the target. The data acquisition module monitors the movement trajectory of the target in real-time and provides key data support for subsequent interference instructions and decisions.

[0126] Collaboration with the signal interference module: The data acquisition module not only collects the generation parameters of the interference signal but also obtains the feedback of the interference effect. These feedbacks help to evaluate the effect of the interference signal and provide a basis for system adjustment. For example, when the communication frequency band of the target changes, the data acquisition module can detect it and transmit the relevant information to the interference module for timely adjustment of the interference signal.

[0127] Collaboration with the countermeasure command module: The countermeasure command module generates interference instructions based on the data from the target detection module and the signal interference module. The data acquisition module monitors the execution situation of the interference instructions and feeds back the execution results. The transmission of this information flow helps the countermeasure command module to adjust the strategy in real-time to ensure the response speed and interference effect of the interference device.

[0128] In some embodiments, the data acquisition module can support the processing and feedback of real-time data. By transmitting real-time data to the central control platform, the data acquisition module provides a fast response mechanism for the system. According to the data feedback, the system can dynamically adjust the interference signal to adapt to the changes of the target. For example, when the flight trajectory of the target changes drastically, the central control platform can use the data analysis results to quickly evaluate the effect of the interference signal and adjust the frequency, power, etc. of the signal.

[0129] The optimization scheduling module, connected to the data acquisition module, dynamically adjusts the interference signal frequency, power, and direction in the signal interference module based on the real-time data fed back by the central control platform.

[0130] The optimization scheduling module is connected to the data acquisition module. Based on the real-time data feedback from the central control platform, it dynamically adjusts the interference signal frequency, power, and direction in the signal interference module. This module is mainly responsible for optimizing the configuration of interference signals by analyzing the collected data in real time, so as to ensure that the system can maximize the interference effect and adapt to the dynamic changes of the target.

[0131] The role of the optimization scheduling module is to combine information such as the target state and interference signal feedback provided by the central control platform, and adjust the parameters of the interference signal in real time to keep it in the best working state. This adjustment is based on real-time data feedback and the threat assessment results of the target. Therefore, the optimization scheduling module not only plays a crucial role in the interference effect, but also ensures the reasonable utilization of interference resources.

[0132] The cooperation between the optimization scheduling module and the data acquisition module is very close. The data acquisition module collects real-time data from the target detection module, signal interference module, and countermeasure command module, and transmits this data to the central control platform for processing and analysis. The central control platform generates feedback based on this data and provides it to the optimization scheduling module. The optimization scheduling module decides how to adjust the frequency, power, and direction of the interference signal according to these feedback results.

[0133] Specifically, in this embodiment, the optimization scheduling module makes decisions based on the following aspects of real-time data:

[0134] Target state data: Real-time data from the target detection module, including the target's position, speed, trajectory, etc.

[0135] Interference effect data: Feedback on the interference signal effect from the signal interference module, including information such as the frequency, power, beam direction of the interference signal, and whether the interference is successful.

[0136] Device state data: Device state information from the signal interference module and countermeasure command module to ensure the normal operation of the interference device and make adjustments when necessary.

[0137] In some embodiments, the optimization scheduling module mainly adjusts the parameters of the interference signal through the following steps: First, the optimization scheduling module adjusts the frequency of the interference signal according to the threat assessment results of the target and the flight dynamics. For example, the communication frequency band of the target may change with the flight environment. The system automatically adjusts the frequency of the interference signal according to the frequency band where the target is currently located to ensure effective interference on the target.

[0138] During the movement of the target, the direction and beam of the interference signal need to be adjusted according to the real-time position of the target. Generally, the signal interference module generates a directional interference beam through an antenna array, and the optimization scheduling module dynamically adjusts the beam direction of the interference signal according to the current position and speed of the target to ensure that the interference signal accurately points to the target and effectively interferes with the target's communication.

[0139] In addition, the power of the interference signal is also a key parameter for adjustment. As an option, the optimization scheduling module dynamically adjusts the power of the interference signal according to the distance of the target, threat assessment, and signal propagation attenuation model. When the target is far away, the system will appropriately increase the power to ensure that the signal can effectively cover the target; when the target is approaching, the system may reduce the power to avoid excessive interference and reduce resource waste.

[0140] Specifically, in this embodiment, the optimization scheduling module uses an optimization algorithm to implement the adjustment of the interference signal parameters. The optimization algorithm calculates the optimal interference signal configuration by comprehensively considering the status data of the target, the effect of the interference signal, and the working status of the device.

[0141] In a possible implementation, the optimization scheduling module uses a multi-objective optimization algorithm to handle the situation of multiple targets and multiple interference sources. In the scenario of multiple targets, the optimization scheduling module needs to consider how to reasonably allocate interference resources and ensure the maximization of the interference effect on each target. The optimization goal is to minimize the waste of interference resources and ensure that each target can be effectively interfered within the shortest time.

[0142] The specific optimization objective function is:

[0143]

[0144] Among them, J′ is the optimization objective, w i is the weight of target i, representing the threat level of the target, and f i is the interference effect of the interference signal on target i, and u is the control variable, representing the frequency, power, and direction of the interference signal.

[0145] The purpose of this optimization objective function is to maximize the interference effect under the given interference resource constraints and ensure that each target is effectively interfered.

[0146] The optimization scheduling module will make adjustments according to the real-time feedback data using dynamic programming and feedback mechanisms. The feedback processing unit receives the real-time data from the data acquisition module, analyzes and processes it, and then passes it to the optimization algorithm. The optimization scheduling module continuously updates the configuration of the interference signal by processing these real-time data to ensure the dynamic adaptability of the interference signal.

[0147] Another important function of the optimization scheduling module is adaptive adjustment. In a dynamic tactical environment, the behavior of the target and environmental conditions are constantly changing. The optimization scheduling module can adjust the configuration of the interference signal in real time according to the rapid changes of the target. For example, when the target suddenly changes its flight trajectory or a new threat appears, the optimization scheduling module will immediately adjust the interference strategy according to the new state data to ensure that the interference effect is always in the best state.

[0148] In some embodiments, the optimization scheduling module may also adjust the interference strategy according to the feedback of the operating state of the system. For example, when the interference device in the system is overloaded or fails, the optimization scheduling module will adjust the resource allocation according to the operating state of the device to ensure that other devices can supplement and perform the interference task.

[0149] Although the embodiments of the present invention have been shown and described, it will be understood by those of ordinary skill in the art that various changes, modifications, substitutions and variations can be made to these embodiments without departing from the principles and spirit of the present invention, and the scope of the present invention is defined by the appended claims and their equivalents.

Claims

1. A rapid response detection and interference integrated system, characterized in that, It includes: A target detection module, which is used to detect the signals of low-altitude targets through spectrum analysis and estimate the target status. The low-altitude targets include unmanned aerial vehicles, small aircraft, cruise missiles, airships, balloons, and aircraft; The target detection module includes: A spectrum scanning device, which is used to scan the radio frequency band and obtain the signal strength, frequency, and bandwidth information of the target. The working frequency band of the spectrum scanning device covers a wide spectrum range from 20 MHz to 6 GHz; A target status estimation unit, which optimizes the estimation of the target position and speed based on the received signals using the Kalman filtering algorithm; The target status estimation unit includes: A Kalman filter, which is used to optimize the estimation of the target position and speed based on the historical status of the target and the current observation data; A Bayesian inference unit, which is used to update the probability distribution of the target status according to the previous estimation and real-time signals, and optimize the target status estimation result to ensure the robustness and accuracy of target tracking; A target recognition unit, which performs target recognition based on signal characteristics and generates a threat assessment of the target; The target recognition unit includes: A target classification unit, which is used to classify the target based on the received signal characteristics and generate target category information; A target behavior analysis unit, which is used to analyze the flight trajectory and communication mode of the target, and identify the aggressiveness and purpose of the target by comparing historical data and real-time signals; The target status estimation unit decodes and analyzes the signals, and uses the Kalman filtering algorithm to optimize the status of the target; The Kalman filter processes the historical observation data and the current observation data. The estimation formula of the target status by the Kalman filter is: Among them, is the current state estimate of the target, A is the state transition matrix, is the state estimate at the previous moment, B is the control input matrix, and u t is the control input; The target status estimation unit also combines the Bayesian inference algorithm to update the probability of the target status. The core formula of Bayesian inference is: where p(x t ) is the prior probability of the target state, p(z t |x t ) is the observation probability of the target in the given state, p(z t ) is the normalization constant of the observation, and p(x t |z t ) is the posterior probability of the target state; A signal interference module, which is connected to the target detection module, and is used to generate interference signals according to the target communication frequency band and position provided by the target detection module, and implement interference on low-altitude targets through directional interference technology; The signal interference module includes: An interference signal generation unit, which is used to generate interference signals according to the communication frequency band and position of the target; An interference beam adjustment unit, which is used to adjust the direction and intensity of the interference signal through an antenna array to achieve directional interference; An optimal control unit, which optimizes the frequency, power, and phase of the signal based on the target status and interference effect; The optimal control unit adjusts the frequency, power, and phase of the interference signal based on the optimization objective of the target status and interference effect. The working formula of the optimal control unit is: Where, J is the optimization objective, x(t) is the status of the interference signal, u(t) is the control input of the interference signal, Q and R are weight matrices, which are used to balance the influence of the state variable and the control input, T is the time span of the optimization process, indicating the termination time of the optimization, dt: time increment, indicating that in the optimization process, each extremely small time unit is used to represent the tiny change in the integration operation; The signal interference module dynamically adjusts the frequency and power of the interference signal according to the distance between the target and the interference device. The signal attenuation model usually follows the free space propagation model. According to the distance between the target and the interference source, the propagation attenuation degree of the signal will change; The free space propagation model can be expressed as: Among them, P received is the received signal power, and P transmitted is the power of the transmitted signal, and d is the distance between the transmission source and the reception target; The countermeasure command module, connected to the signal interference module, is used to generate interference commands according to the low-altitude target threat assessment results provided by the target detection module and the interference resource allocation situation of the signal interference module, and command the interference equipment to implement interference; The data acquisition module, respectively connected to the target detection module, the signal interference module and the countermeasure command module, is used to collect the real-time data of the low-altitude target and the interference equipment, and transmit the data to the central control platform for processing; The optimization scheduling module, connected to the data acquisition module, dynamically adjusts the interference signal frequency, power and direction in the signal interference module based on the real-time data fed back by the central control platform; The optimization scheduling module includes: The multi-target optimization unit is used to perform optimization scheduling according to the threat levels, target positions and interference resources of multiple targets; The dynamic adjustment unit is used to dynamically adjust the parameters of the interference signal according to the real-time feedback; The optimization scheduling module uses a multi-target optimization algorithm to handle the situation of multiple targets and multiple interference sources. The optimization objective function is: Among them, J′ is the optimization objective, and w i is the weight of target i, representing the threat level of the target, and f i is the interference effect of the interference signal on target i. u is the control variable, representing the frequency, power, and direction of the interference signal.

2. The quick response detection and drying integrated system according to claim 1, wherein The countermeasure command module includes: The command generation unit is used to generate interference commands according to the threat assessment results and system status; The command transmission unit is used to transmit the interference command to the interference equipment and implement interference.

3. The quick response detection and drying integrated system according to claim 1, characterized in that, The interference signal generation unit includes: The interference signal modulation unit is used to generate different types of interference signals according to the signal interference strategy; The interference source allocation unit is used to dynamically allocate and adjust the operating frequency and output power of the interference source according to the communication frequency band of the target and the threat assessment results.

4. The rapid response detection and drying integrated system according to claim 2, characterized in that, The command generation unit includes: The threat assessment unit is used to quantitatively analyze the real-time threats of each target, evaluate the aggressiveness, priority and flight mode of the target, and allocate interference resources accordingly; The multi-target scheduling unit, according to the threat assessment results of each target, dynamically adjusts the allocation of interference resources based on the multi-target optimization algorithm, and generates precise interference commands for each target.

5. The rapid response detection and drying integrated system according to claim 2, characterized in that The dynamic adjustment unit includes: The real-time data acquisition unit is used to obtain the status of the target, the feedback information of the interference signal and the interaction data between the target and the interference equipment in real time from the target detection module, the signal interference module and the countermeasure command module; The feedback processing unit is used to analyze and process the real-time data, and generate an optimization result for adjusting the interference signal parameters; The parameter adjustment unit dynamically adjusts the frequency, power and direction of the interference signal according to the optimization result of the feedback processing unit.

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