Direction Finding Algorithms with Joint Iterative Subspace Optimization
Data Structures and Algorithms
2016-11-17 v1
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 an enhanced performance over existing algorithms in the studied scenarios.
Cite
@article{arxiv.1402.2710,
title = {Direction Finding Algorithms with Joint Iterative Subspace Optimization},
author = {L. Wang and R. C. de Lamare and M. Haardt},
journal= {arXiv preprint arXiv:1402.2710},
year = {2016}
}
Comments
11 figures, 4 tables. IEEE Transactions on Aerospace and Electronic Systems, 2014