Alternating projections gridless covariance-based estimation for DOA
Signal Processing
2023-02-06 v1
Abstract
We present a gridless sparse iterative covariance-based estimation method based on alternating projections for direction-of-arrival (DOA) estimation. The gridless DOA estimation is formulated in the reconstruction of Toeplitz-structured low rank matrix, and is solved efficiently with alternating projections. The method improves resolution by achieving sparsity, deals with single-snapshot data and coherent arrivals, and, with co-prime arrays, estimates more DOAs than the number of sensors. We evaluate the proposed method using simulation results focusing on co-prime arrays.
Keywords
Cite
@article{arxiv.2102.06372,
title = {Alternating projections gridless covariance-based estimation for DOA},
author = {Yongsung Park and Peter Gerstoft},
journal= {arXiv preprint arXiv:2102.06372},
year = {2023}
}
Comments
5 pages, accepted by (ICASSP 2021) 2021 IEEE International Conference on Acoustics, Speech, and Signal Processing