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Dynamic knowledge base design method and device for intelligent radar countermeasure

A design method, knowledge base technology, applied in design optimization/simulation, calculation, computer parts and other directions, and can solve problems such as difficult to meet demand

Active Publication Date: 2022-08-02
中国人民解放军32802部队
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

With the increasingly complex electromagnetic environment on the battlefield and the emergence of programmable radars, the traditional expert system-based target recognition methods have been difficult to meet the needs. Artificial intelligence and machine learning methods are used to sort and identify targets, predict behaviors, and optimize jamming strategies. Algorithmic models continue to emerge

Method used

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  • Dynamic knowledge base design method and device for intelligent radar countermeasure
  • Dynamic knowledge base design method and device for intelligent radar countermeasure
  • Dynamic knowledge base design method and device for intelligent radar countermeasure

Examples

Experimental program
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Effect test

Embodiment 1

[0126] see figure 1 , figure 1 It is a schematic flowchart of a dynamic knowledge base design method for intelligent radar countermeasures disclosed in an embodiment of the present invention. The steps of the method are as follows:

[0127] S1. Build an intelligent radar confrontation dynamic knowledge base; build a form of the intelligent radar confrontation dynamic knowledge base;

[0128] The intelligent radar countermeasure dynamic knowledge base includes a sample base, a target base and a model base;

[0129] The forms of the intelligent radar countermeasure dynamic knowledge base include a sample library form, a target library form and a model library form;

[0130] Store the existing radar data samples and the radar knowledge of the radar data samples in the form of the intelligent radar countermeasure dynamic knowledge base;

[0131] S2. Input an instruction to extract radar knowledge from the target library form; update the sample library with radar knowledge;

[...

Embodiment 2

[0150] In order to make the purpose, technical solutions and advantages of the present invention clearer, the second embodiment will be used to describe the process of the present invention extracting relevant knowledge from the target library and simulating the waveform samples of a single state of the radar. The second embodiment is the instantiation description of step S2 in the content of the invention, and the specific implementation process is as follows:

[0151] According to the received instruction, determine which of the following data types are to be simulated: sorting pulse samples, sorting waveform samples, sorting PDW samples, state identification waveform samples, state identification PDW samples, and behavior PDW samples. Assume that the known data types are state-identifying waveform samples.

[0152] Determine whether the input command constrains the radar number, state number, carrier frequency range, pulse width range and intrapulse modulation mode of the s...

Embodiment 3

[0157] Combine below Image 6 , and the automatic labeling, knowledge extraction and model updating of radar samples in the process of signal processing are explained by the third embodiment. Image 6 It can be known that the radar signal processing flow, the process described in this section, the application of the present invention in the target signal sorting and target state identification process. The third embodiment is an instantiated description of steps S1, S3-S6 in the summary of the invention, wherein the two cycles of steps S3-S6 are respectively S3(a)-S6(a), S3(b)-S6(b), The specific implementation process is as follows:

[0158] S1. Build a dynamic radar knowledge base and its corresponding form, and store the signal acquisition settings, data expert annotation, and radar data samples into the basic index form, label index form, and sample data form in the sample base respectively;

[0159] S2, according to the input instruction, extract information from the ta...

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Abstract

The invention discloses a dynamic knowledge base design method and device for intelligent radar confrontation. The method comprises the following steps: constructing an intelligent radar confrontation dynamic knowledge base and a form thereof; comprising a sample library, a target library, a model library, a sample library form, a target library form and a model library form; the existing radar data samples and radar knowledge are stored in a form of a knowledge base. Inputting an instruction, and extracting radar knowledge from the target library form; updating the sample library by using radar knowledge; extracting a radar data sample from the sample library, and extracting a radar algorithm model from the model library; processing the radar data sample by using the radar algorithm model, and extracting radar knowledge; and storing the radar knowledge in the target library, and updating the target library. According to the method, radar sample data, radar system knowledge and various algorithm models can be flexibly and effectively organized, radar signals are gradually analyzed and knowledge is extracted according to a signal processing flow, and the obtained knowledge has universality and authority.

Description

technical field [0001] The present invention relates to radar knowledge assistance technology, in particular to a dynamic knowledge base design method and device for intelligent radar countermeasures. Background technique [0002] The main task of the electronic warfare system is to recognize the confrontation target and generate the confrontation strategy as soon as possible, so it is extremely important to accumulate the knowledge of the type, function, behavior law of the radiation source target, and provide a priori information for the radar countermeasure system. Since the 21st century, many researchers at home and abroad have started modeling and database construction of radar target characteristics and characteristic data. By collecting a large number of radar target echo data or establishing target simulation electromagnetic models, they have established and expanded target characteristic databases. With the increasingly complex battlefield electromagnetic environmen...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/00G06F30/20G01S7/36G06F111/10
CPCG06F30/20G01S7/36G06F2111/10G06F2218/00Y02A90/10
Inventor 秦臻解凯马钰杨健王沙飞田震
Owner 中国人民解放军32802部队
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