一种基于干扰认知的复合干扰抑制方法

By employing a two-step suppression method based on interference cognition, and utilizing direction estimation and transfer learning techniques, the problem of compound interference when the main lobe interference and the target signal are close together is solved. This achieves effective suppression of the main lobe interference and preservation of the target signal, thereby improving the detection and tracking performance of the radar system.

CN117289215BActive Publication Date: 2026-07-17UNIV OF ELECTRONICS SCI & TECH OF CHINA

Patent Information

Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
UNIV OF ELECTRONICS SCI & TECH OF CHINA
Filing Date
2023-09-01
Publication Date
2026-07-17

AI Technical Summary

Technical Problem

Existing technologies struggle to effectively suppress composite interference when the main lobe interference and the target signal are close together, especially when incident at similar angles, which affects the detection and tracking performance of the radar system.

Method used

A two-step suppression method based on interference cognition is adopted. First, sidelobe interference is suppressed by direction estimation and orthogonal projection. Then, main lobe interference features are identified and the interference signal is reconstructed and canceled through transfer learning, thereby suppressing the main lobe interference.

Benefits of technology

While ensuring target detection, it effectively suppresses main lobe interference, improves the signal-to-interference-plus-noise ratio by 6dB-10dB, and avoids target signal attenuation caused by existing methods.

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Abstract

本发明提供一种基于干扰认知的复合干扰抑制方法,采用两步抑制过程:第一步:针对副瓣干扰采用方向估计联合正交投影,既抑制了副瓣干扰,又充分保留了主瓣信号;第二步:通过迁移学习来识别主瓣干扰特征,进而估计干扰参数,再通过重构、对消干扰信号的方式来实现对主瓣干扰的抑制;最终实现目标检测。采用方向估计联合正交投影进行副瓣抑制,避免了阻塞矩阵方法中常见的主波束变形问题;其次,采用迁移学习,以单一干扰作为源域、复合干扰作为目标域,在复合干扰域达到较高识别率;最后,基于主瓣干扰识别结果,通过时频域分析进行干扰参数估计结合阵列导向估计产生干扰信号,参考干扰信号以对消真实干扰,达到抑制主瓣干扰信号的目的。
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