Composite deception jamming intelligent identification method, system and device based on time-frequency characteristics and medium
Through compound deception and interference intelligent identification methods based on time -based features, using YOLOV8 neural network and feature extraction module to process composite interference signals, solve the problem of low -level recognition accuracy and difficulty in composite interference recognition under low noise ratio. High accuracy interference signal recognition.
Patent Information
- Application Number
- CN202411453837.1
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2024-10-17
- Publication Date
- 2025-01-28
- Estimated Expiration
- 2044-10-17
AI Technical Summary
The existing interference signal recognition technology has low recognition accuracy under low interference noise ratio conditions, and there are few researches on the identification of composite spoof interference superimposed by multiple spoof interferences.
Adopt a composite compound deception and interference intelligent identification method based on time -frequency features, through interference signal simulation modules, composite deception interference generation modules, feature extraction modules, and YOLOV8 neural network reason detection models, pulse compression, phase cumulative processing and shortness of composite interference signals are performed on composite interference signals Fourier transforms, generate frequency diagrams, and improve the accuracy of recognition.
It has significantly improved the accuracy of identification accuracy of compound deception interference under low -to -noise ratio, has good generalization capabilities, is easy to achieve engineering, and provides reliable technology to support the field of radar anti -interference.
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Abstract
Citation Information
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