Quick-reaction detecting and drying integrated system

Abstract

The invention relates to the technical field of low-altitude air defense, and discloses a quick response detection and drying integrated system, which comprises a target detection module used for detecting signals of low-altitude targets through spectral analysis and carrying out target state estimation, and the low-altitude targets comprise an unmanned aerial vehicle, a small aircraft, a cruise missile, an airship, a balloon and an aircraft; a signal interference module which is connected with the target detection module and is used for generating an interference signal according to the target communication frequency band and position provided by the target detection module and carrying out interference on a low-altitude target through a directional interference technology; and the countering command module is connected with the signal interference module. By integrating target detection, directional interference and dynamic resource scheduling, high-precision tracking, precise interference and optimized interference resource allocation of a low-altitude target are realized, and the response speed, the interference efficiency and the resource utilization rate of the system are effectively improved.

Description

Technical Field

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

[0002] With the advancement of technology, the threat of low-altitude targets has gradually increased; the widespread use of low-altitude flying objects such as drones, small aircraft, cruise missiles, airships and balloons in the military, security and civilian fields has made low-altitude air defense systems 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. In order to ensure the safety of important areas, the ability to quickly respond and accurately interfere with low-altitude targets is essential.

[0003] At present, the defense system against low-altitude targets has been developed to a certain extent, especially in target detection and jamming technology. In the existing technology, low-altitude target detection usually uses radar, infrared sensors and other equipment, which can provide basic target identification and tracking information. At the same time, signal jamming technology has also been applied. The jamming equipment destroys the communication between the target and the control station by emitting high-power signals. The existing jamming technology can achieve interference with the target within a certain range, especially in a relatively simple environment, which can effectively block the target's communication link, thereby reducing its ability to perform tasks.

[0004] However, existing technologies have shown certain shortcomings when facing complex and dynamically changing environments. First, existing low-altitude target detection systems usually rely on a single type of sensor, such as radar or infrared systems. These technologies have poor adaptability to targets with frequently changing trajectories or in complex electromagnetic environments, resulting in insufficient detection accuracy. Secondly, traditional signal jamming systems use fixed frequency bands or wide coverage jamming methods, which can easily interfere with other non-target signals around them, resulting in a waste of resources. In addition, the jamming effect is easily affected by the maneuverability of the target, making it impossible to achieve precise jamming. In addition, existing countermeasure command modules usually lack real-time dynamic adjustment capabilities, making it difficult to quickly adjust jamming strategies according to changes in the target, which makes it difficult to maintain the best jamming effect when the target changes rapidly. Summary of the invention

[0005] In view of the shortcomings of the prior art, the present invention provides a rapid response integrated detection and interference system, which solves the problems of insufficient low-altitude target detection accuracy, inaccurate signal interference, delayed adjustment of interference strategies and unreasonable resource allocation in the prior art.

[0006] To achieve the above objectives, the present invention is implemented through the following technical solutions: a rapid response detection and intervention integrated system, comprising: A target detection module is used to detect signals of low-altitude targets through spectrum analysis and estimate target states. The low-altitude targets include drones, small aircraft, cruise missiles, airships, balloons and aircraft; A signal jammer module, connected to the target detection module, is used to generate a jammer signal according to the target communication frequency band and position provided by the target detection module, and to jam the low-altitude target through directional jammer technology; A countermeasure command module, connected to the signal jammer module, for generating jammer instructions according to the low-altitude target threat assessment result provided by the target detection module and the jammer resource allocation of the signal jammer module, and commanding the jammer device to implement the jammer; A data acquisition module, connected to the target detection module, the signal jamming module and the countermeasure command module, respectively, for collecting real-time data of low-altitude targets and jamming equipment, and transmitting the data to a central control platform for processing; The optimization scheduling module is connected to the data acquisition module and 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.

[0007] Preferably, the target detection module includes: A spectrum scanning device for scanning the radio frequency band and obtaining the signal strength, frequency and bandwidth information of the target; A target state estimation unit, which optimizes the estimation of the target position and speed based on the received signal using a Kalman filter algorithm; The target recognition unit identifies the target based on the signal characteristics and generates a threat assessment of the target.

[0008] Preferably, the signal interference module includes: An interference signal generating unit, used to generate an interference signal according to the communication frequency band and position of the target; An interference beam adjustment unit is used to adjust the direction and strength of the interference signal through the antenna array to achieve directional interference; The optimal control unit optimizes the frequency, power and phase of the signal based on the target state and interference effects.

[0009] Preferably, the countermeasure command module includes: An instruction generation unit, used for generating interference instructions according to threat assessment results and system status; The instruction transmission unit is used to transmit the interference instruction to the interference device and implement the interference.

[0010] Preferably, the optimization scheduling module includes: A multi-objective optimization unit, which is used to optimize the scheduling according to the threat level, target location and jamming 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.

[0011] Preferably, the target state estimation unit includes: Kalman filter, used to optimize the estimation of target position and velocity based on the target's historical state and current observation data; The Bayesian inference unit is used to update the probability distribution of the target state based on previous estimates and real-time signals, and optimize the target state estimation results to ensure the robustness and accuracy of target tracking.

[0012] Preferably, the interference signal generating unit includes: An interference signal modulation unit, used to generate different types of interference signals according to a 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.

[0013] Preferably, the instruction generating unit comprises: Threat assessment unit, which is used to quantitatively analyze the real-time threats of each target, evaluate the target's aggressiveness, priority and flight mode, and allocate jamming resources accordingly; The multi-target scheduling unit dynamically adjusts the allocation of jamming resources based on the threat assessment results of each target and the multi-target optimization algorithm, and generates precise jamming instructions for each target.

[0014] Preferably, the target identification unit comprises: A target classification unit, used to classify the target based on the received signal characteristics and generate target category information; The target behavior analysis unit is used to analyze the target's flight trajectory and communication pattern, and identify the target's aggressiveness and purpose by comparing historical data and real-time signals.

[0015] Preferably, the dynamic adjustment unit includes: A real-time data acquisition unit is used to obtain the target status, the feedback information of the jamming signal and the interaction data between the target and the jamming device in real time from the target detection module, the signal jamming module and the countermeasure command module; A feedback processing unit, used for analyzing and processing real-time data to generate an optimization result for adjusting 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.

[0016] The present invention provides a rapid response detection and intervention integrated system. It has the following beneficial effects: 1. The present invention adopts a technical solution combining spectrum analysis with target detection, and realizes efficient tracking and state estimation of the target by real-time capturing the communication signal of the low-altitude target and accurately estimating its position and speed. 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 shortcomings of traditional methods in capturing targets in complex environments.

[0017] 2. The present invention adopts directional jamming technology and real-time optimization control technology, and adjusts the direction and power of the jamming signal through the antenna array to achieve precise jamming of the target. Compared with the wide-area jamming method commonly used in the prior art, the present invention can accurately direct the jamming signal to the target, avoid jamming non-target areas, and significantly improve the efficiency of jamming and resource utilization.

[0018] 3. The present invention generates accurate jamming instructions in real time based on target threat assessment and jamming resource allocation through the command generation and dynamic adjustment mechanism of the counter-combat command module, and commands the jamming equipment to implement refined jamming. Compared with the lack of intelligent adjustment and real-time feedback mechanism in traditional technologies, the present invention can quickly adjust the strategy according to the dynamic changes of the target, ensure the rapid response and flexible adaptation of the system, and improve the overall response capability of the system.

[0019] 4. The present invention optimizes the allocation of interference resources by dynamically adjusting the frequency, power and direction of the interference signal based on real-time data by optimizing the feedback adjustment and adaptive capabilities of the scheduling module. Compared with the static interference configuration scheme in the prior art, the present invention can make real-time adjustments according to the changes in the target and the different environments, avoiding resource waste, improving the adaptability and efficiency of the system, and effectively ensuring the maximization of the interference effect. BRIEF DESCRIPTION OF THE DRAWINGS

[0020] Figure 1 A schematic diagram of the system construction of the present invention; Figure 2 This is a framework diagram of a target detection module of the present invention; Figure 3 It is a framework diagram of the signal interference module of the present invention; Figure 4 It is a framework diagram of the countermeasure command module of the present invention; Figure 5 This is a framework diagram of the optimization scheduling module of the present invention; Figure 6 It is a framework diagram of a target state estimation unit of the present invention; Figure 7 This is a framework diagram of an interference signal production unit of the present invention; Figure 8 It is a framework diagram of the instruction generation unit of the present invention; Fig. 9 It is a framework diagram of the target recognition unit of the present invention; Fig.10 This is a framework diagram of the dynamic adjustment unit of the present invention. DETAILED DESCRIPTION

[0021] The following will be combined with the drawings in the specification of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0022] Please see attached Figure 1 -Attached Fig.10 The embodiment of the present invention provides a rapid response detection and intervention integrated system, including: The target detection module is used to detect the signals of low-altitude targets through spectrum analysis and estimate the target state. Low-altitude targets include drones, small aircraft, cruise missiles, airships, balloons and aircraft; 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 the frequency, intensity, bandwidth and other information of the target signal, recognizes the target through these characteristics, and further estimates the target status, including its position, speed and motion trajectory.

[0023] Specifically, in this embodiment, the target detection module uses a spectrum scanning device to comprehensively scan the communication signals of low-altitude targets. The acquired signals are further processed by the target state estimation unit to obtain dynamic information such as the specific position and speed of the target. The state of the target is optimized and updated through algorithms such as Kalman filtering and Bayesian inference to achieve accurate tracking of the target.

[0024] The spectrum scanning device will scan the frequency band of the target communication. Low-altitude targets usually emit radio signals in a specific frequency band, so through spectrum scanning, the radio waves emitted by the target can be detected. The operating frequency band of the spectrum scanning device generally covers a wide spectrum range from 20MHz to 6GHz. After detecting the signal, the system will obtain information such as the frequency, strength, and bandwidth of the signal. These signal characteristics provide key data for subsequent target identification and state estimation.

[0025] As an option, multiple sensors can be combined in the target detection module for data fusion. For example, in addition to spectrum scanning, radar or optoelectronic sensor observation data can be combined for complementary target detection, thereby improving detection accuracy and robustness.

[0026] Specifically, the target state estimation unit decodes and analyzes the signal and optimizes the state of the target using the Kalman filter algorithm. The Kalman filter can dynamically estimate the position and speed of the target and predict the future position of the target by processing historical observation data and current observation data.

[0027] In one possible implementation, the Kalman filter estimates the target state as follows: ; in, is the current state estimate of the target, is the state transition matrix, is the state estimate at the previous moment, is the control input matrix, is the control input, representing things like target velocity or external force.

[0028] In the above formula, the Kalman filter predicts the target state and combines the noise model to make the best estimate of the target's true state. This is crucial for quickly and accurately tracking the position and speed of low-altitude targets. Combined with the recursive calculation method of the Kalman filter, the present invention can ensure real-time tracking of targets in complex electromagnetic environments, avoiding misjudgment caused by a single sensor.

[0029] In some embodiments, the target state estimation unit can also combine the Bayesian inference algorithm to probabilistically update the state of the target. Bayesian inference can dynamically update the state distribution of the target based on the prior state information of the known target according to the new observation data. The core formula of Bayesian inference is: ; in, is the prior probability of the target state, is the observation probability of the target in a given state, is the normalizing constant of the observation, is the posterior probability of the target state.

[0030] By combining Kalman filtering and Bayesian inference, this embodiment can perform effective target state estimation when the received signal has high noise, and further optimize the accuracy of the target state over time.

[0031] In some embodiments, the target recognition unit further uses the signal characteristics of the target to identify the target and 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, identifies the category of the target based on the characteristics of the signal such as frequency, intensity, and modulation mode, and generates corresponding threat assessment information.

[0032] In addition, the target behavior analysis unit analyzes the target's flight trajectory and communication pattern to further identify the target's aggressiveness and intentions. This information is crucial for the system to make decisions in the subsequent counter-attack command module. For example, when the target has an abnormal flight trajectory or communication pattern, the system will identify its possible threat and respond quickly.

[0033] The signal jammer module is connected to the target detection module and is used to generate jammer signals according to the target communication frequency band and position provided by the target detection module, and to jam low-altitude targets through directional jammer technology; In this embodiment, the signal jammer module is connected to the target detection module, and is used to generate jammer signals according to the target communication frequency band and position provided by the target detection module, and to jam low-altitude targets through directional jammer technology. The main task of this module is to jam the communication signal between the low-altitude target and its control station, forcing the target to lose control or change its course, thereby effectively preventing the target from entering the no-fly zone or performing other threatening behaviors.

[0034] The signal interference module generates interference signals according to the target communication frequency band and position provided by the target detection module. Specifically, the target detection module captures the target's communication signal in real time through the spectrum scanning device, analyzes its frequency band, bandwidth, strength and other characteristics, and generates the target's communication frequency band and position information. The signal interference module generates interference signals based on this information.

[0035] The process of generating interference signals is generally carried out according to the following steps: First, the system confirms the target communication frequency band range through the target detection module. This frequency band can be the target's operating frequency band (such as the drone control signal frequency band) or other communication frequency bands that the target may use. Based on the target communication frequency band information, the signal interference module generates an interference signal that matches the target frequency band to ensure that the interference signal interferes with the target's communication signal.

[0036] As an option, the interference signal generating 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. The generated interference signal can adapt to the needs of different targets by adjusting parameters such as frequency, power and modulation mode to ensure the maximum effect of the interference signal.

[0037] Specifically, the signal jammer uses directional jammer technology to precisely jam the target. In one possible implementation, the signal jammer uses an antenna array to focus the energy of the jammer signal, thereby achieving directional jammer on the target. Directional jammer technology ensures that the jammer signal is focused on the target without affecting other surrounding communication signals, thus avoiding interference with non-target signals.

[0038] The working principle of the antenna array is based on beamforming technology. Beamforming technology generates an electromagnetic beam pointing in a specific direction by adjusting the phase, amplitude and other parameters of multiple antenna units. This beam can accurately point to the target location and effectively cover the target's communication frequency band, thereby interfering with the target's communication signal.

[0039] In some embodiments, the frequency and power of the jamming signal are adjusted in real time according to the dynamic changes of the target. When the target moves, the jamming signal adjusts the beam direction and power output according to the current position and flight direction of the target to ensure that the target is always within the jamming range. This process is implemented by the optimal control unit in the signal jamming module, which dynamically adjusts the parameters of the jamming signal according to the state information of the target (such as position, speed, flight trajectory, etc.).

[0040] Specifically, the optimal control unit adjusts the frequency, power and phase of the interference signal based on the optimization goal of the target state and the interference effect. The optimization goal 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: ; in, is the optimization goal, is the state of the interference signal, is the control input of the interference signal (such as frequency, power and phase), and is the weight matrix used to balance the effects of state variables and control inputs, is the time span of the optimization process, usually indicating the termination time of the optimization. : Time increment, which represents each extremely small time unit in the optimization process, and is usually used to represent small changes in integral operations.

[0041] By adjusting the frequency, power and phase, the signal jammer can effectively interfere with the target's communication signal, causing it to lose control or deviate from its intended orbit.

[0042] 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 usually follows the free space propagation model, and the degree of signal propagation attenuation will change 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.

[0043] The free space propagation model can be expressed as: ; in, is the received signal power, is the power of the transmitted signal, is the distance between the transmitting source and the receiving target.

[0044] The signal jammer module needs to face the ever-changing environment and target behavior in practical applications. Therefore, the signal jammer module needs to be adjusted according to the real-time feedback data. In this embodiment, the signal jammer module is closely connected with the data acquisition module, and the jammer strategy is adjusted in time by collecting the feedback data between the target and the jammer device in real time.

[0045] The data acquisition module is responsible for obtaining feedback on the effect of the interference signal, such as whether the target has experienced communication interruption or changed its course. Then, the feedback data is transmitted to the optimization and scheduling module for further analysis and adjustment. The optimization and scheduling module adjusts the frequency, power and direction of the interference signal according to the real-time changes in the target status to ensure the maximum interference effect.

[0046] The countermeasure command module is connected to the signal jammer module and is used to generate jamming instructions based on the low-altitude target threat assessment results provided by the target detection module and the jamming resource allocation of the signal jammer module, and command the jammer equipment to implement the jamming; The countermeasure command module is connected to the signal jammer module, and is used to generate jamming instructions based on the low-altitude target threat assessment results provided by the target detection module and the jamming resource allocation of the signal jammer module, and command the jammer equipment to implement the jamming. As the core decision-making unit of the system, this module is responsible for integrating feedback information from the target detection module and the signal jammer module, formulating specific jamming strategies, and thus achieving precise countermeasures against low-altitude targets.

[0047] In this embodiment, the counter-command module generates interference instructions through the instruction generation unit. These interference instructions include key parameters such as the frequency, power, and beam direction of the interference signal. According to the threat assessment of the target, the counter-command module can quickly adjust the interference strategy to cope with the different attack modes, flight trajectories, and threat levels of the target. All interference instructions are transmitted to the interference device and guide the interference device to implement precise interference.

[0048] In this embodiment, the instruction generation unit of the countermeasure command module is the "brain" of the entire system, and generates interference instructions based on the real-time threat assessment results provided by the target detection module and the interference resource allocation of the signal interference module.

[0049] Specifically, the workflow of the instruction generation unit is as follows: First, the target detection module generates a threat assessment result of the target based on the signal characteristics of the target (including frequency, strength, bandwidth and other information). The target detection module analyzes the flight trajectory, speed, type and communication characteristics of the target to derive 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 require immediate countermeasures.

[0050] As an option, the threat assessment result may also include the target's flight mode, such as straight-line flight, maneuverable flight, etc. Different flight modes may require different jamming strategies. For example, for a high-speed flying target, the system may choose a stronger jamming signal and a more precise directional jamming technology.

[0051] Based on these evaluation results, the instruction generation unit analyzes the threat level, priority and current interference resource allocation of each target through a built-in optimization algorithm (such as a multi-objective optimization algorithm) to generate specific interference instructions. These interference instructions include: Frequency of the jamming signal: The frequency of the jamming signal needs to match the target's communication frequency band to ensure that the jamming signal can effectively act on the target communication system.

[0052] Jamming signal power: The jamming signal power is determined by the threat level and distance of the target. For more threatening targets or targets at closer distances, the jamming signal power may need to be increased.

[0053] Interference beam direction: 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 accurately points to the target.

[0054] In a possible implementation, the interference instructions generated by the instruction generation unit are transmitted to the signal interference module. Specifically, the instructions are transmitted to the interference device that actually performs the interference task through the instruction transmission unit.

[0055] The instruction transmission unit ensures that instructions can be delivered in a timely manner and are not affected by factors such as signal interference and equipment failure. Instruction transmission is usually carried out through an encrypted communication link to ensure that the instruction transmission process is not subject to external attacks or malicious tampering.

[0056] Once the jamming instruction is received, the signal jamming module immediately performs the corresponding jamming operation, adjusts the frequency, power and direction of the jamming signal to maximize the interference with the target's communication link, and ensures that the target's communication signal is affected through directional interference.

[0057] In some embodiments, the instruction generation unit can also dynamically adjust the interference instruction according to the real-time position and flight mode of the target. For example, when the target changes its heading or flight mode rapidly, the system will regenerate the interference instruction according to the new state of the target and reschedule the interference signal.

[0058] In the countermeasure command module, the optimal scheduling of jamming resource allocation is the key to maximizing the jamming effect. The optimization scheduling module receives real-time data feedback from the data acquisition module, which includes the target status, the effect of the jamming signal, and other important parameters. The optimization scheduling module will evaluate the current allocation of jamming resources in real time and dynamically adjust the jamming resources according to the target's threat level, environmental changes and other factors.

[0059] In some embodiments, the optimization scheduling module uses a multi-objective optimization algorithm to solve the interference resource allocation problem. For multiple targets, the optimization scheduling module needs to consider the threat assessment results of multiple targets at the same time and reasonably allocate limited interference resources. The optimization algorithm ensures that the system can maximize the interference effect and reasonably utilize resources to avoid resource waste in the case of multiple targets.

[0060] The process of optimizing scheduling usually includes the following steps: Target threat assessment: Based on the threat assessment results of the target detection module, the optimization scheduling module will assign a priority to each target. Targets with high threat levels will be given priority to obtain more interference resources.

[0061] Resource allocation: When resources are limited, the optimization scheduling module will reasonably allocate the power, frequency and direction of the jammer according to the threat level and location of the target. At this time, the system will flexibly adjust the strength and beam direction of the jammer signal according to the distance and flight trajectory of the target.

[0062] The data acquisition module is connected to the target detection module, signal jamming module and countermeasure command module respectively, and is used to collect real-time data of low-altitude targets and jamming equipment, and transmit the data to the central control platform for processing; The data acquisition module is connected to the target detection module, signal jamming module and countermeasure command module to collect real-time data of low-altitude targets and jamming equipment, and transmit these 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 effect of each module in the system, and provide key real-time data support for the central control platform. These data will be used to further analyze and optimize the jamming strategy and judge the working status of the system.

[0063] In this embodiment, the coordinated work of the data acquisition module, the target detection module, the signal jamming module and the countermeasure command module ensures comprehensive data collection.

[0064] Data acquisition of target detection module: The data acquisition module obtains the target's real-time position, speed, trajectory and other information from the target detection module. This information is obtained through the spectrum scanning device and target state estimation unit in the target detection module. The spectrum scanning device provides data such as the target's communication frequency band, bandwidth and signal strength, while the target state estimation unit predicts the target's precise position and speed based on the Kalman filter algorithm. The data acquisition module collects these estimated data in real time and provides reference for subsequent decision-making.

[0065] Data collection of signal interference module: The data collection module also collects relevant data of interference signals from the signal interference module. Specifically, the frequency, power, beam direction and other parameters of the interference signal will change continuously during the interference process. The data collection module obtains these parameters in real time and records them. 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 based on the feedback from the target. The data collection module also monitors the working status of the interference equipment to ensure its normal operation.

[0066] Data collection of the counter-attack command module: The function of the counter-attack command module is to generate and command the jamming equipment to perform jamming tasks based on the threat assessment results provided by the target detection module and the jamming resource allocation of the signal jamming module. The data collection module collects the generation of instructions and the jamming execution status from the counter-attack command module. By collecting data such as the successful execution of the jamming instructions and the reaction speed of the equipment, the data collection module can provide feedback information for the system to further optimize the jamming strategy.

[0067] In this embodiment, the data acquisition module is not only responsible for collecting data, but also needs to transmit this data to the central control platform in a timely manner. Through a stable network link, the data acquisition module will upload the collected real-time data to the central control platform for further processing. The central control platform conducts a comprehensive analysis of the data, including threat assessment of the target, interference effect analysis, and equipment operation status monitoring.

[0068] In a possible implementation, the data transmission process 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 target signal data, the parameters of the interference signal, the interaction data between the target and the interference device, etc. Through this data, the central control platform can monitor the operating status of the system in real time and optimize the strategy based on the threat assessment results of the target and the interference effect.

[0069] Specifically, the content of data transmission may include the following types of information: Target status data: including the target’s real-time position, speed, trajectory information, etc.

[0070] Interference signal data: including signal parameters such as frequency, power, and beam direction.

[0071] Interference effect data: including whether the interference signal successfully destroys the target communication, whether the target changes its flight trajectory, etc.

[0072] System status data: including the operating status of each module, the working status of hardware equipment, etc.

[0073] The data acquisition module works closely with the target detection module, signal jammer module and countermeasure command module to ensure efficient data flow and processing. The real-time and comprehensive performance of the data acquisition module is crucial to the optimization of the entire system.

[0074] 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 target's status information, the data acquisition module can ensure that the system's response speed matches the target's dynamic changes. The data acquisition module monitors the target's motion trajectory in real time and provides key data support for subsequent interference instructions and decisions.

[0075] Collaboration with the signal jammer module: The data acquisition module not only collects the generation parameters of the jammer signal, but also obtains feedback on the jammer effect. This feedback helps evaluate the effect of the jammer signal and provides a basis for the system to make adjustments. For example, when the target's communication frequency band changes, the data acquisition module can detect it and transmit the relevant information to the jammer module so that the jammer signal can be adjusted in time.

[0076] Collaboration with the countermeasure command module: The countermeasure command module generates jamming instructions based on the data from the target detection module and the signal jamming module. The data acquisition module monitors the execution of the jamming instructions and provides feedback on the execution results. The transmission of this information flow helps the countermeasure command module adjust its strategy in real time to ensure the response speed and jamming effect of the jamming device.

[0077] 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. Based on the data feedback, the system can dynamically adjust the interference signal to adapt to the changes in the target. For example, when the flight trajectory of the target changes dramatically, 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.

[0078] The optimization scheduling module is connected to the data acquisition module and 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.

[0079] The optimization scheduling module is connected to the data acquisition module, and 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. This module is mainly responsible for optimizing the configuration of the interference signal through real-time analysis of the collected data, thereby ensuring that the system can maximize the interference effect and adapt to the dynamic changes of the target.

[0080] The function of the optimization scheduling module is to combine the target status and interference signal feedback information 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 vital role in the interference effect, but also ensures the rational use of interference resources.

[0081] The optimization scheduling module works closely with the data acquisition module. The data acquisition module collects real-time data from the target detection module, signal jamming 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. Based on these feedback results, the optimization scheduling module decides how to adjust the frequency, power, and direction of the interference signal.

[0082] Specifically, in this embodiment, the optimization scheduling module makes decisions based on real-time data from the following aspects: Target status data: Real-time data from the target detection module, including the target's position, speed, trajectory, etc.

[0083] Interference effect data: Interference signal effect feedback from the signal interference module, including information such as the frequency, power, beam direction of the interference signal, and whether the interference is successful.

[0084] Equipment status data: Equipment status information from the signal jammer module and the countermeasure command module to ensure the normal operation of the jammer and make adjustments when necessary.

[0085] In some embodiments, the optimization scheduling module mainly adjusts the interference signal parameters through the following steps: First, the optimization scheduling module adjusts the frequency of the jamming signal according to the target's threat assessment results and flight dynamics. For example, the target's communication frequency band may change as the flight environment changes. The system automatically adjusts the frequency of the jamming signal according to the target's current frequency band to ensure effective interference with the target.

[0086] During the target's movement, the direction and beam of the interference signal need to be adjusted according to the target's real-time position. Generally, the signal interference module generates a directional interference beam through the antenna array, and the optimization scheduling module dynamically adjusts the beam direction of the interference signal according to the target's current position and speed to ensure that the interference signal accurately points to the target and effectively interferes with the target's communication.

[0087] 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 based on the distance of the target, threat assessment, and signal propagation attenuation model. When the target is far away, the system will increase the power appropriately to ensure that the signal can effectively cover the target; when the target is close, the system may reduce the power to avoid excessive interference and reduce resource waste.

[0088] Specifically, in this embodiment, the optimization scheduling module uses an optimization algorithm to adjust the interference signal parameters. The optimization algorithm calculates the optimal interference signal configuration by comprehensively considering the state data of the target, the effect of the interference signal and the working state of the device.

[0089] In one possible implementation, the optimization scheduling module uses a multi-objective optimization algorithm to handle 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 that the system maximizes 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 in the shortest time.

[0090] The specific optimization objective function is: ; in, To optimize the goal, is the target The weight of the target indicates the threat level. Is the interference signal to the target The interference effect, is the control variable, which represents the frequency, power and direction of the interference signal.

[0091] The purpose of this optimization objective function is to maximize the interference effect under the given interference resource constraints to ensure that each target receives the most effective interference.

[0092] The optimization scheduling module will make adjustments based on real-time feedback data using dynamic programming and feedback mechanisms. The feedback processing unit receives 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.

[0093] 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 is able to adjust the configuration of the jamming 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 jamming strategy according to the new status data to ensure that the jamming effect is always in the best state.

[0094] In some embodiments, the optimization scheduling module may also adjust the interference strategy based on the system's operating status feedback. For example, when an interference device in the system is overloaded or fails, the optimization scheduling module will adjust resource allocation based on the device's operating status to ensure that other devices can supplement and perform interference tasks.

[0095] Although embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that various changes, modifications, substitutions and variations may be made to the embodiments without departing from the principles and spirit of the present invention, and that the scope of the present invention is defined by the appended claims and their equivalents.

Claims

1. Rapid response detection and intervention integrated system, characterized by: include: A target detection module is used to detect signals of low-altitude targets through spectrum analysis and estimate target states. The low-altitude targets include drones, small aircraft, cruise missiles, airships, balloons and aircraft; A signal jammer module, connected to the target detection module, is used to generate a jammer signal according to the target communication frequency band and position provided by the target detection module, and to jam the low-altitude target through directional jammer technology; A countermeasure command module, connected to the signal jammer module, for generating jammer instructions according to the low-altitude target threat assessment result provided by the target detection module and the jammer resource allocation of the signal jammer module, and commanding the jammer device to implement the jammer; A data acquisition module, connected to the target detection module, the signal jamming module and the countermeasure command module, respectively, for collecting real-time data of low-altitude targets and jamming equipment, and transmitting the data to a central control platform for processing; The optimization scheduling module is connected to the data acquisition module and 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.

2. The rapid response detection and intervention integrated system according to claim 1, characterized in that: The target detection module comprises: A spectrum scanning device for scanning the radio frequency band and obtaining the signal strength, frequency and bandwidth information of the target; A target state estimation unit, which optimizes the estimation of the target position and speed based on the received signal using a Kalman filter algorithm; The target recognition unit identifies the target based on the signal characteristics and generates a threat assessment of the target.

3. The rapid response detection and intervention integrated system according to claim 1, characterized in that: The signal interference module comprises: An interference signal generating unit, used to generate an interference signal according to the communication frequency band and position of the target; An interference beam adjustment unit is used to adjust the direction and strength of the interference signal through the antenna array to achieve directional interference; The optimal control unit optimizes the frequency, power and phase of the signal based on the target state and interference effects.

4. The rapid response detection and intervention integrated system according to claim 1, characterized in that: The countermeasure command module includes: An instruction generation unit, used for generating interference instructions according to threat assessment results and system status; The instruction transmission unit is used to transmit the interference instruction to the interference device and implement the interference.

5. The rapid response detection and intervention integrated system according to claim 1, characterized in that: The optimization scheduling module includes: A multi-objective optimization unit, which is used to optimize the scheduling according to the threat level, target location and jamming 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.

6. The rapid response detection and intervention integrated system according to claim 2, characterized in that: The target state estimation unit comprises: Kalman filter, used to optimize the estimation of target position and velocity based on the target's historical state and current observation data; The Bayesian inference unit is used to update the probability distribution of the target state based on previous estimates and real-time signals, and optimize the target state estimation results to ensure the robustness and accuracy of target tracking.

7. The rapid response detection and intervention integrated system according to claim 3, characterized in that: The interference signal generating unit comprises: An interference signal modulation unit, used to generate different types of interference signals according to a 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.

8. The rapid response detection and intervention integrated system according to claim 4, characterized in that: The instruction generation unit comprises: Threat assessment unit, which is used to quantitatively analyze the real-time threats to each target, evaluate the target's aggressiveness, priority and flight mode, and allocate jamming resources accordingly; The multi-target scheduling unit dynamically adjusts the allocation of jamming resources based on the threat assessment results of each target and the multi-target optimization algorithm, and generates precise jamming instructions for each target.

9. The rapid response detection and intervention integrated system according to claim 2, characterized in that: The target recognition unit comprises: A target classification unit, used to classify the target based on the received signal characteristics and generate target category information; The target behavior analysis unit is used to analyze the target's flight trajectory and communication pattern, and identify the target's aggressiveness and purpose by comparing historical data and real-time signals.

10. The rapid response detection and intervention integrated system according to claim 5, characterized in that: The dynamic adjustment unit comprises: A real-time data acquisition unit is used to obtain the target status, the feedback information of the jamming signal and the interaction data between the target and the jamming device in real time from the target detection module, the signal jamming module and the countermeasure command module; A feedback processing unit, used for analyzing and processing real-time data to generate an optimization result for adjusting 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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