现代雷达2025，Vol.47Issue(10)：73-76,4.DOI:10.16592/j.cnki.1004-7859.2025071301
基于密度聚类的目标全向RCS统计特性提取方法研究
A study on Omnidirectional RCS Statistical Feature Extraction Method Based on Density-based Clustering
袁振涛 1张莉芳 1李增辉 1王莎莎 1丛雯珊2
作者信息
- 1. 解放军93209 部队,北京 100085
- 2. 解放军93213 部队,北京 100085
- 折叠
摘要
Abstract
This paper uses measured radar cross-section(RCS)data as samples.By fully considering the distribution characteristics of the measured RCS data and dynamically eliminating outliers through the density clustering method,it effectively overcomes the impact of RCS fluctuations on statistical results.The method successfully extracts the omnidirectional RCS characteristics of air-craft.The effectiveness of the method was verified by collecting actual radar measurement data.关键词
雷达/雷达散射截面积/密度聚类Key words
radar/RCS/density-based clustering分类
信息技术与安全科学引用本文复制引用
袁振涛,张莉芳,李增辉,王莎莎,丛雯珊..基于密度聚类的目标全向RCS统计特性提取方法研究[J].现代雷达,2025,47(10):73-76,4.
