This work deals with directional of arrival (DOA) estimation with a large antenna array. We first develop a novel signal model with a sparse system transfer matrix using an inverse discrete Fourier transform (DFT) operation, which leads to the formulation of a structured block sparse signal recovery problem with a sparse sensing matrix. This enables the development of a low complexity message passing based Bayesian algorithm with a factor graph representation. Simulation results demonstrate the superior performance of the proposed method.
@article{arxiv.2309.00313,
title = {Message Passing Based Block Sparse Signal Recovery for DOA Estimation Using Large Arrays},
author = {Yiwen Mao and Dawei Gao and Qinghua Guo and Ming Jin},
journal= {arXiv preprint arXiv:2309.00313},
year = {2023}
}