非高斯低秩杂波环境下雷达扩展目标的认知型检测方法

By establishing an environmental knowledge base and using test statistics with adjustable weights, the problem of insufficient detection capability of existing radar detection methods in non-Gaussian low-rank clutter environments is solved, enabling rapid and accurate detection of extended targets with adaptive adjustment capabilities.

CN116008941BActive Publication Date: 2026-07-17YUNNAN UNIV
View PDF 2 Cites 0 Cited by

Patent Information

Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
YUNNAN UNIV
Filing Date
2023-01-10
Publication Date
2026-07-17

Smart Images

  • Figure CN116008941B_ABST
    Figure CN116008941B_ABST
Patent Text Reader

Abstract

本发明涉及一种非高斯低秩杂波环境下雷达扩展目标的认知型检测方法，其主要思路是：(1)设计非高斯低秩杂波环境下扩展目标的可调权重检验统计量；(2)对给定的可调权重，提出检测门限的快速高精度计算方法，保证恒虚警率性质；(3)利用环境知识库和感兴趣目标的信息，自动选择使得检测能力达到最优的权重；(4)实现检测器对变化的复杂环境和不同感兴趣目标的智能认知。本发明与现有雷达目标检测方法相比，能够充分利用环境知识，对于不同环境和目标，实现自主认知及权重的智能调节，快速实现最优权重和检测器门限的计算，显著提高雷达对复杂工况的适应能力和目标检测能力。
Need to check novelty before this filing date? Find Prior Art