基于双模自适应杂波图的雷达信号处理方法及系统
By using a dual-modal adaptive clutter map method, iterative strategies and thresholds for static and dynamic clutter maps are designed separately, solving the problems of inaccurate static and dynamic clutter suppression and poor real-time performance in existing technologies, and achieving efficient clutter suppression and stable detection of real targets.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- ANHUI YAOFENG RADAR TECH CO LTD
- Filing Date
- 2026-03-03
- Publication Date
- 2026-07-17
AI Technical Summary
Existing clutter mapping techniques cannot effectively suppress both static and dynamic clutter simultaneously. They suffer from inaccurate threshold settings, poor real-time performance, and high false alarm rates, making it difficult to achieve efficient clutter suppression and real target detection in real-time radar signal processing systems.
A dual-modal adaptive clutter map method is adopted. By designing iterative strategies for static and dynamic clutter maps respectively, and combining the MTD improvement factor curve and the environmental noise fitting curve, an adaptive detection threshold is generated to achieve accurate suppression of static and dynamic clutter.
It significantly reduces the false alarm rate, ensures stable detection of real targets, and maintains good system real-time performance in complex environments.
Smart Images
Figure CN121763249B_ABST