Title
Direction finding algorithms based on joint iterative subspace optimization
Abstract
In this paper, a reduced-rank scheme with joint iterative optimization is presented for direction of arrival estimation. A rank-reduction matrix and an auxiliary reduced-rank parameter vector are jointly optimized to calculate the output power with respect to each scanning angle. Subspace algorithms to estimate the rank-reduction matrix and the auxiliary vector are proposed. Simulations are performed to show that the proposed algorithms achieve enhanced performance over existing algorithms in the studied scenarios.
Year
DOI
Venue
2014
10.1109/TAES.2014.120395
IEEE Trans. Aerospace and Electronic Systems
Field
DocType
Volume
Mathematical optimization,Subspace topology,Direction of arrival,Matrix (mathematics),Direction finding algorithms,Subspace algorithms,Mathematics
Journal
50
Issue
ISSN
Citations 
4
0018-9251
12
PageRank 
References 
Authors
0.47
18
3
Name
Order
Citations
PageRank
Lei Wang117612.39
de Lamare, R.C.265233.42
Martin Haardt33531311.32