A radar cognitive adaptive jamming method

Abstract

The application discloses a radar cognition adaptive jamming method and belongs to the technical field of radar jamming, and the specific method comprises the following steps: step one, constructing a radar jamming perception action loop; step two, monitoring and receiving radar radiation source signals in real time through a passive reconnaissance device; step three, analyzing and processing the radar signals received by the passive reconnaissance device, and dynamically perceiving the working mode and working parameters of the radar; step four, determining a jamming strategy according to the working mode and working parameters of the radar; and step five, automatically changing the jamming mode and working parameters of the jamming device according to the obtained jamming strategy. The method increases a dynamic perception device, adaptively and dynamically obtains the working parameters and working state of the radar, increases a cognition reasoning link, determines a jamming strategy, forms jamming decision support, adaptively changes the jamming mode and jamming parameters, and can realize radar cognition adaptive jamming in a time-varying and unknown environment.

Description

Technical Field

[0001] This invention belongs to the field of radar jamming technology, specifically a radar cognitive adaptive jamming method. Background Technology

[0002] Currently, radar jamming systems primarily employ the following methods: pre-setting the operating modes and parameters of jamming equipment and initiating jamming through a mission scheduling system; and changing the operating modes and parameters of jamming equipment by issuing instructions from the commander or mission command system based on electronic reconnaissance information. None of these methods can adaptively change jamming parameters, lack the ability to interact with the environment, or adapt to time-varying or unknown radar radiation source environments.

[0003] Current radar jamming methods lack environmental interaction capabilities. To address this issue, a radar cognitive adaptive jamming method is proposed. This method targets time-varying or unknown radar radiation source environments. First, a radar jamming perception action loop is constructed. Then, passive detection equipment is used to adaptively and dynamically perceive the radar signal environment. Through knowledge-assisted cognitive reasoning, the jamming mode and operating parameters are automatically changed to achieve radar cognitive adaptive jamming based on environmental perception. Summary of the Invention

[0004] To address the problems of the above-mentioned solutions, this invention provides a radar cognitive adaptive jamming method.

[0005] The objective of this invention can be achieved through the following technical solutions:

[0006] A radar cognitive adaptive jamming method, specifically including:

[0007] Step 1: Construct the radar interference perception action loop;

[0008] Step 2: Monitor and receive radar radiation source signals in real time using passive detection equipment;

[0009] Step 3: Analyze and process the radar signals received by the passive detection equipment to dynamically sense the radar's operating mode and parameters;

[0010] Step 4: Determine the jamming strategy based on the radar's operating mode and parameters;

[0011] Step 5: Based on the obtained interference strategy, automatically change the interference mode and operating parameters of the interference device.

[0012] Furthermore, in step four, the method for determining the jamming strategy based on the radar's operating mode and parameters includes:

[0013] Based on the obtained radar operating mode, the obtained operating parameters are converted into corresponding analysis coordinates, and a strategy library is established. The obtained radar operating mode and analysis coordinates are input into the strategy library for matching to obtain the corresponding jamming strategy. The matching record is then statistically recorded in the matching record table. The matching record includes the matched jamming strategy number, matching value, and application score. The application score is based on the feedback score after the jamming strategy is applied. When the corresponding record data in the matching record table reaches the threshold X1, the strategy library is updated.

[0014] Furthermore, methods for converting the obtained operating parameters into corresponding analysis coordinates based on the obtained radar operating mode include:

[0015] The system acquires the radar operating modes, identifies the parameters in the operating parameters corresponding to each radar operating mode, sets the corresponding coordinate templates and assignment tables based on the identified parameters, matches the corresponding coordinate templates according to the acquired radar operating modes, processes the acquired operating parameters through the assignment tables, and inputs the processed operating parameters into the coordinate templates to obtain the corresponding analysis coordinates.

[0016] Furthermore, methods for building a strategy library include:

[0017] Based on big data, the jamming strategies under various radar operating modes are obtained. The obtained jamming strategies and corresponding operating parameters are processed to obtain the corresponding benchmark strategies. The benchmark strategies include the corresponding jamming strategies, benchmark coordinates and benchmark scores. A first database is established, and a corresponding number of storage nodes are set in the first database. Each storage node is labeled with the corresponding radar operating mode. The obtained benchmark strategies are input into the corresponding storage nodes for storage. The current first database is marked as the strategy library.

[0018] Furthermore, methods for inputting the obtained radar operating modes and analysis coordinates into the strategy library for matching include:

[0019] Based on the obtained radar operating mode, the corresponding stored node is matched in the strategy library. The target is the target node. The baseline coordinates and baseline scores corresponding to each baseline strategy in the target node are identified. The corresponding adjustment coefficient is matched according to the obtained baseline score. The obtained adjustment coefficient is marked as λ. The strategy item corresponding to each element in the analysis coordinate is marked as i, where i = 1, 2, ..., n, and n is a positive integer. The data of each element in the analysis coordinate is marked as Pi, and the data of each element in the baseline coordinate is marked as Di. According to the formula... Calculate the corresponding matching value, where βi is the weight coefficient of the corresponding policy item. Obtain the interference policy from the benchmark policy with the highest matching value, and output the obtained interference policy and matching value.

[0020] Further, when the corresponding record data in the matching record table reaches the threshold X1, the method for updating the policy library includes:

[0021] Perform real-time interval frequency statistics in the matching record table to obtain the corresponding interval frequency. When the obtained interval frequency is less than the threshold X2, no operation is performed; otherwise, mark the obtained interval frequency as CS, obtain the comprehensive score corresponding to the interval frequency, match the corresponding scaling factor according to the obtained application score, mark it as α, calculate the corresponding statistical value according to the formula XYG = α × CS. When XYG < X1, no operation is performed; otherwise, generate an update signal, obtain the interference strategy number corresponding to the interval frequency, and integrate and send the obtained interference strategy number, comprehensive score, and corresponding application scores to the corresponding management personnel to formulate a new interference strategy through the management personnel.

[0022] Compared with the prior art, the beneficial effects of the present invention are:

[0023] A dynamic perception device is added to adaptively and dynamically obtain the radar working parameters and working status; a cognitive reasoning link is added to determine the interference strategy and form interference decision support; the interference mode and interference parameters can be adaptively changed to achieve radar cognitive adaptive interference in a time-varying and unknown environment. BRIEF DESCRIPTION OF THE DRAWINGS

[0024] In order to more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the following will briefly introduce the drawings required for use in the description of the embodiments or the prior art. Obviously, the drawings in the following description are only some embodiments of the present invention. For those of ordinary skill in the art, other drawings can be obtained based on these drawings without creative efforts.

[0025] Figure 1 It is a principle block diagram of the present invention;

[0026] Figure 2 It is a cognitive adaptive interference perceptual action loop of the present invention. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0027] The following will clearly and completely describe the technical solutions of the present invention in conjunction with the embodiments. Obviously, the described embodiments are only some embodiments of the present invention, rather than all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative efforts belong to the scope of protection of the present invention.

[0028] Such as Figures 1 to 2As shown, a radar cognitive adaptive jamming method is proposed, which introduces and mimics intelligent radar jamming methods based on human cognitive characteristics. It mainly includes passive detection devices, distributed radar jamming devices, and integrated detection / jamming devices. Through continuous interaction and learning with the environment, it acquires information about radar radiation sources and combines prior knowledge and reasoning to achieve radar cognitive jamming. First, a radar jamming perception action loop is constructed. Then, the passive detection device adaptively and dynamically senses the radar radiation source environment, analyzing the radar's operating mode and parameters. Next, based on the radar operating mode and parameters acquired through dynamic sensing, cognitive reasoning is performed using auxiliary knowledge to determine the jamming strategy, achieving dynamic decision support. Finally, the jamming mode and operating parameters of the jamming device are automatically changed, realizing radar cognitive adaptive jamming based on environmental perception.

[0029] Specific methods include:

[0030] Step 1: Construct the radar jamming perception action loop. The radar jamming perception action loop mainly includes the radar environment, passive detection equipment, and jamming equipment.

[0031] The radar jamming perception action loop is a specific jamming process. For example, passive detection equipment is used to adaptively receive radar radiation source signals. Through analysis and processing, the radar's operating mode and operating parameters are dynamically perceived. Then, based on the dynamically perceived signals and auxiliary knowledge, cognitive reasoning is performed to determine the jamming strategy and achieve dynamic decision support. Finally, the jamming mode and operating parameters of the jamming equipment are automatically changed to achieve radar cognitive adaptive jamming based on environmental perception, forming a jamming loop.

[0032] Step 2: Monitor and receive radar radiation source signals in real time using passive detection equipment;

[0033] Passive detection equipment includes distributed detection equipment and detection sub-units of integrated detection / jamming equipment, which are mainly used to detect and discover radar and adaptively receive radar signals.

[0034] Step 3: Analyze and process the radar signals received by the passive detection equipment to dynamically sense the radar's operating mode and parameters; the corresponding operating mode and parameters can be obtained through existing technologies.

[0035] Dynamically sensing radar operating parameters include radar time-domain parameters, spatial-domain parameters, frequency-domain parameters, energy-domain parameters, radar pulse parameters, etc.; radar operating modes include warning, search, tracking, guidance, etc.

[0036] Step 4: Determine the jamming strategy based on the radar's operating mode and parameters;

[0037] Cognitive reasoning is based on radar operating parameters and simulator resources, using auxiliary knowledge and the intelligent reasoning mechanism of an expert system to analyze and determine interference signal parameters, including interference signal type, interference pattern and parameters, interference power, etc.

[0038] Step 5: Based on the obtained jamming strategy, automatically change the jamming mode and operating parameters of the jamming equipment to achieve radar cognitive adaptive jamming based on environmental perception.

[0039] Step four involves determining the jamming strategy based on the radar's operating mode and parameters, including:

[0040] Based on the obtained radar operating mode, the obtained operating parameters are converted into corresponding analysis coordinates, and a strategy library is established. The obtained radar operating mode and analysis coordinates are input into the strategy library for matching to obtain the corresponding jamming strategy. The matching record is then statistically recorded in the matching record table. The matching record includes the matched jamming strategy number, matching value, and application score. The application score is based on the feedback score after the jamming strategy is applied. When the corresponding record data in the matching record table reaches the threshold X1, the strategy library is updated.

[0041] Methods for converting obtained operating parameters into corresponding analysis coordinates based on the obtained radar operating mode include:

[0042] The process involves acquiring the available radar operating modes and identifying the parameters corresponding to each mode, such as time-domain parameters, spatial-domain parameters, and frequency-domain parameters. Based on these identified parameters, a coordinate template and assignment table are set. This involves manually setting the order of parameters within each radar operating mode in the coordinate system, followed by directly inputting the corresponding data. The assignment table is used to convert non-numerical parameter data into values, manually set according to the possible parameter data for each parameter. The obtained radar operating modes are matched to the corresponding coordinate templates, and the obtained operating parameters are matched using the assignment table. The processed operating parameters are then input into the coordinate templates to obtain the corresponding analysis coordinates.

[0043] Methods for building a strategy library include:

[0044] This involves acquiring a large number of jamming strategies under various radar operating modes based on big data. Specifically, it utilizes existing big data technology to obtain jamming strategies applied under different parameter conditions, including their corresponding jamming effects. The acquired jamming strategies and corresponding operating parameters are processed to obtain corresponding benchmark strategies. These benchmark strategies include the corresponding jamming strategy, benchmark coordinates, and benchmark scores. Benchmark coordinates are generated by converting the corresponding operating parameters into corresponding benchmark coordinates using an analysis coordinate generation method. Benchmark scores are set based on the corresponding application jamming effects, and automatic scoring can be performed using existing scoring methods and manual adjustments. A first database is established, with a corresponding number of storage nodes set within it. Each storage node is labeled with a corresponding radar operating mode. The acquired benchmark strategies are input into the corresponding storage nodes for storage, and the current first database is marked as a strategy library.

[0045] Methods for inputting the obtained radar operating mode and analysis coordinates into the strategy library for matching include:

[0046] Based on the obtained radar operating mode, the corresponding storage node is matched in the strategy library. The target is the target node. The baseline coordinates and baseline scores corresponding to each baseline strategy in the target node are identified. The corresponding adjustment coefficient is matched according to the obtained baseline score and marked as λ. The strategy item corresponding to each element in the analysis coordinate is marked as i, where i = 1, 2, ..., n, and n is a positive integer. The data of each element in the analysis coordinate is marked as Pi, and the data of each element in the baseline coordinate is marked as Di, according to the formula... Calculate the corresponding matching value, where βi is the weight coefficient of the corresponding strategy item, set by the expert group through discussion; when Di is zero, Automatically replace with a fixed value, which is set by the expert group through discussion; obtain the interference strategy from the benchmark strategy with the highest matching value, and output the obtained interference strategy and matching value.

[0047] Based on the obtained benchmark scores, corresponding adjustment coefficients are matched. Several adjustment coefficients corresponding to the benchmark scores are set manually and combined into corresponding coordinate points. Based on the obtained coordinate points, curve simulation is performed to obtain the adjustment matching curve. This can be done manually or in combination with existing simulation models. The obtained benchmark scores are then substituted into the adjustment matching curve to obtain the corresponding adjustment coefficients.

[0048] When the corresponding record data in the matching record table reaches the threshold X1, the methods for updating the strategy library include:

[0049] Perform real-time interval count in the matching record table to obtain the corresponding interval count. When the obtained interval count is less than the threshold X2, no operation is performed; otherwise, mark the obtained interval count as CS, obtain the comprehensive score corresponding to the interval count. The comprehensive score is set according to the application scores corresponding to the interval count. Specifically, establish a corresponding comprehensive model based on the CNN network or DNN network, set the corresponding training set manually for training, and analyze through the comprehensive model after successful training to obtain the corresponding comprehensive score; match the corresponding scaling coefficient according to the obtained application score, mark it as α, calculate the corresponding statistical value according to the formula XYG = α × CS. When XYG < X1, no operation is performed; otherwise, generate an update signal, obtain the interference strategy number corresponding to the interval count, integrate the obtained interference strategy number, comprehensive score, and corresponding application scores and send them to the corresponding management personnel, and let the management personnel formulate a new interference strategy, that is, specifically set the interference strategy manually according to the interference strategy number, comprehensive score, and corresponding application scores.

[0050] The interval count is to set a matching value difference manually, and adjust and identify the matching value difference with any matching value record in the matching record table to obtain the corresponding interval count. That is, with a matching value as the standard, move the matching value difference up and down, and mark the maximum number of matching values within the matching value and the matching value difference as the interval count.

[0051] Match the corresponding scaling coefficient according to the obtained application score. The scaling coefficient is less than one when greater than a certain value and greater than one when less than a certain value. Specifically, set the corresponding matching table manually for matching.

[0052] The above formulas are all calculated by removing the dimension and taking their numerical values. The formulas are obtained by collecting a large amount of data for software simulation to get a formula closest to the real situation. The preset parameters and preset thresholds in the formulas are set by those skilled in the art according to the actual situation or obtained by a large amount of data simulation.

[0053] The above embodiments are only used to illustrate the technical method of the present invention and not to limit it. Although the present invention has been described in detail with reference to the preferred embodiments, those of ordinary skill in the art should understand that the technical method of the present invention can be modified or equivalently replaced without departing from the spirit and scope of the technical method of the present invention.

Claims

1. A radar cognitive adaptive jamming method, characterized in that, The specific methods include: Step 1: Construct a radar interference perception-action loop; Step 2: Use passive reconnaissance equipment to monitor and receive radar emitter signals in real time; Step 3: Analyze and process the radar signals received by the passive reconnaissance equipment to dynamically perceive the operating mode and operating parameters of the radar; Step 4: Determine the interference strategy based on the radar operating mode and operating parameters; specifically including: Convert the obtained operating parameters into corresponding analysis coordinates according to the obtained radar operating mode, establish a strategy library, input the obtained radar operating mode and analysis coordinates into the strategy library for matching, obtain the corresponding interference strategy, and record this matching in the matching record table. The matching record includes the matched interference strategy number, matching value, and application score. The application score is the feedback score after the application of the interference strategy; when the corresponding record data in the matching record table reaches the threshold X1, update the strategy library; The method of converting the obtained operating parameters into corresponding analysis coordinates according to the obtained radar operating mode includes: Obtain the existing radar operating modes, identify the parameter items in the operating parameters corresponding to each radar operating mode, set the corresponding coordinate templates and assignment tables according to the identified parameter items, match the corresponding coordinate templates according to the obtained radar operating mode, perform matching processing on the obtained operating parameters through the assignment table, and input the processed operating parameters into the coordinate templates correspondingly to obtain the corresponding analysis coordinates; The method of establishing a strategy library includes: Obtain the interference strategies under each radar operating mode based on big data, process the obtained interference strategies and the corresponding operating parameters to obtain the corresponding reference strategies. The reference strategies include the corresponding interference strategies, reference coordinates, and reference scores. Establish a first database, set a corresponding number of storage nodes in the first database, and label each storage node with the corresponding radar operating mode label. Input the obtained reference strategies into the corresponding storage nodes for storage, and mark the current first database as the strategy library; The method of inputting the obtained radar operating mode and analysis coordinates into the strategy library for matching includes: According to the obtained radar working mode, a corresponding storage node in the strategy library is matched, the target is a target node, reference coordinates and reference scores corresponding to each reference strategy in the target node are identified, a corresponding adjustment coefficient is matched according to the obtained reference score, the obtained adjustment coefficient is marked as λ, and each element in the analysis coordinates is marked as a strategy item i, wherein i=1, 2, …, n, n is a positive integer; each element data in the analysis coordinates is marked as Pi, and each element data in the reference coordinates is marked as Di; according to the formula A corresponding matching value is calculated, wherein βi is a weight coefficient corresponding to the corresponding strategy item, an interference strategy in the reference strategy with the highest matching value is obtained, and the obtained interference strategy and the matching value are output. The method of updating the strategy library when the corresponding record data in the matching record table reaches the threshold X1 includes: Perform real-time interval count in the matching record table to obtain the corresponding interval count. When the obtained interval count is less than the threshold X2, do not perform any operation; otherwise, mark the obtained interval count as CS, obtain the comprehensive score corresponding to the interval count, match the corresponding scaling factor according to the obtained application score, mark it as α, calculate the corresponding statistical value according to the formula XYG = α × CS. When XYG < X1, do not perform any operation; otherwise, generate an update signal, obtain the interference strategy number corresponding to the interval count, and integrate and send the obtained interference strategy number, comprehensive score, and the corresponding application scores to the corresponding management personnel for the formulation of new interference strategies by the management personnel; Step 5: Automatically change the interference mode and operating parameters of the interference equipment according to the obtained interference strategy.

Images