基于漂移聚类的多目标抗干扰测向定位方法
Multi-target Anti-interference for Localization with Angle-of-Arrival Method Based on Drift Clustering
解雷芳 1张鹏 1刘路路 1田晗1
作者信息
- 1. 中国电子科技集团公司第二十七研究所,河南郑州 450047
- 折叠
摘要
随着有人/无人侦察机探测辐射源技术的快速提升与发展,多目标的无源测向定位一直是研究重点,本文提出了一种基于漂移聚类的多目标抗干扰测向定位算法.该算法基于二维空间进行设计,首先进行经纬度转换,再以聚类思想将测向线进行分组,排除聚类簇中测向数目较少的噪声测向线,最后将聚类迭代时求出的每组组内距离测向线最近的点作为定位点.实验结果表明,在含有噪声测向线的多目标无源测向数据中,该算法可较好地对多目标进行聚类并定位,定位准确率方面效果良好.
Abstract
With the rapid development of the technology of detecting emitters by manned/unmanned reconnaissance aircraft,the passive Localization with Angle-of-Arrival(AoA)of multi-targets is always the focus of research.In this paper,a multi-target anti-interference for Localization with AoA algorithm based on drift clustering is proposed.The algorithm is designed based on two-dimensional space.Firstly,the longitude and latitude conversion is performed,and then the AoA lines are grouped by the clustering idea,eliminate noise AoA lines with less number in clustering arrowheads.Finally,in the clustering iteration,the nearest point to each AoA line in the group is taken as the location point.The experimental results show that the algorithm can cluster and localize multi-targets well in the multi-target passive AoA data with noisy AoA lines.
关键词
漂移聚类/多目标/测向/定位Key words
drift clustering/multi-target/Angle-of-Arrival/localization引用本文复制引用
出版年
2024
NETL
NSTL
万方数据