基于网格密度峰值聚类的测向交叉定位  

Direction-Finding Cross Positioning Based on Grid Density Peaks Clustering

作　　者：陈豫禹 杨宇明[1] 李厚彪[1] CHEN Yuyu;YANG Yuming;LI Houbiao(School of Mathematical Sciences,University of Electronic Science and Technology of China,Chengdu 611000,China)

机构地区：[1]电子科技大学数学科学学院,成都611000

出　　处：《电光与控制》2023年第4期40-44,60,共6页Electronics Optics & Control

基　　金：国家自然科学基金(11101071)。

摘　　要：测向交叉定位思想简单,所需测量信息少,在无源定位领域被广泛应用。针对传统测向交叉定位算法难以解决未知目标数目的定位问题,提出了一种基于网格密度峰值的测向交叉定位算法,将网格划分和密度峰值聚类引入测向交叉定位中,并结合Hough变换制定了一种挑选类簇中心的规则。仿真实验和实测数据实验结果表明,在含有噪声的情况下,该算法能够自动识别目标的数目和位置,具有较强鲁棒性,可适用于实际问题。Direction-finding cross positioning is simple and requires less measurement information,which is widely used in the field of passive positioning.It is difficult for the traditional direction-finding cross positioning algorithm to solve the positioning problem when the number of targets is unknown.To solve the problem,a direction-finding cross positioning algorithm based on grid density peak is proposed,which introduces meshing and density peak clustering into direction-finding cross positioning,and uses Hough transform to formulate a rule for picking cluster centers.According to the results of simulation experiments and measured data experiments,it is proved that the proposed algorithm can automatically identify the number and position of targets in the presence of noise.It has strong robustness,which can be applied to practical problems.

关 键 词：无源定位 测向交叉定位 网格划分 密度峰值聚类 HOUGH变换 

分 类 号：TN971.1[电子电信—信号与信息处理] TP301.6[电子电信—信息与通信工程]