文章基本信息

标题：A reduced dimension multiple signal classification–based direct location algorithm with dense arrays
本地全文：下载
作者：Jianfeng Li ; Gaofeng Zhao ; Baobao Li 等
期刊名称：International Journal of Distributed Sensor Networks
印刷版ISSN：1550-1329
电子版ISSN：1550-1477
出版年度：2022
卷号：18
期号：5
页码：1-8
DOI：10.1177/15501329221097583
语种：English
出版社：Hindawi Publishing Corporation
摘要：Aiming at the issue of parameter matching in conventional two-step location, a reduced dimension multiple signal classification direct position determination algorithm based on multi-array is proposed. Based on the idea of dimension reduction, the algorithm avoids multi-dimensional search in spatial domain and attenuation coefficient domain and reduces the search complexity. Simulation results show that the performance of the algorithm is better than the traditional angle of arrival two-step localization algorithm and subspace data fusion direct localization algorithm.
关键词：Direct position determination;multi-array;passive localization