电讯技术2023，Vol.63Issue(12)：1885-1893,9.DOI:10.20079/j.issn.1001-893x.230914002
基于聚类与霍夫变换的同型雷达多目标定位算法
A Multitarget Localization Algorithm for Homogeneous Radar Based on Clustering and Hough Transform
张怡霄 1王怀习 2姚云龙 3常超 2康凯4
作者信息
- 1. 国防科技大学 电子对抗学院,合肥 230037||中国人民解放军 96816 部队,浙江 金华 322100
- 2. 国防科技大学 电子对抗学院,合肥 230037
- 3. 中国人民解放军 96816 部队,浙江 金华 322100
- 4. 火箭军工程大学 作战保障学院,西安 710025
- 折叠
摘要
Abstract
Traditional direction of arrival(DOA)cross location methods are difficult to accurately match the direction parameters of a single target when locating multiple targets of the same type of radar with overlapping tracks.For this problem,a multitarget localization and trajectory screening algorithm based on density clustering and Hough transform for the same type radar is proposed.Firstly,the detection time range is sliced,Density-based Spatial Clustering of Application with Noise(DBSCAN)clustering is performed using the power and direction parameters within the time slice,and initial positioning is carried out based on the direction finding value of the clustering center.Then the distance from the initial positioning point to the reconnaissance station is calculated,and the improved Hough transform is used to detect the hidden linear relationship between the detected power parameters and the distance parameter variables.Finally,according to the extracted linear parameters,the false alarm points in the initial positioning are excluded,and the positioning trajectory of a single target is filtered out.The simulation results show that the algorithm can still effectively complete positioning calculations and screen out the trajectories of up to 10 nonlinear moving targets with overlapping trajectories,ensuring that positioning errors and misselection rates do not deteriorate.关键词
多目标定位/测向交叉定位/DBSCAN聚类/霍夫变换Key words
multitarget localization/DOA cross location/DBSCAN clustering/Hough transform分类
信息技术与安全科学引用本文复制引用
张怡霄,王怀习,姚云龙,常超,康凯..基于聚类与霍夫变换的同型雷达多目标定位算法[J].电讯技术,2023,63(12):1885-1893,9.
