Title
A reduced dimension multiple signal classification-based direct location algorithm with dense arrays
Abstract
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.
Year
DOI
Venue
2022
10.1177/15501329221097583
INTERNATIONAL JOURNAL OF DISTRIBUTED SENSOR NETWORKS
Keywords
DocType
Volume
Direct position determination, multi-array, passive localization
Journal
18
Issue
ISSN
Citations 
5
1550-1477
0
PageRank 
References 
Authors
0.34
0
5
Name
Order
Citations
PageRank
Jianfeng Li18435.06
Gaofeng Zhao200.34
Baobao Li300.34
Xianpeng Wang412624.25
Mengxing Huang57032.66