@inproceedings{24c1e2d88a07468d96c82e8904f87e59,
title = "A Fast Group Sparsity Based Phase Retrieval Algorithm for Non-Coherent DOA Estimation",
abstract = "A non-coherent DOA estimation algorithm for multiple snapshots is presented. The non-coherent DOA estimation problem is firstly formulated as a non-convex joint group sparsity based phase retrieval problem, and then replaced by its convex surrogate alternative through applying the majorization-minimization technique, and finally the proximal gradient method is employed to solve the surrogate problem. The proposed algorithm is referred to as fasT grOup sparsitY Based phAse Retrieval (ToyBar). Compared to the state of the art, the proposed one achieves a better performance with a lower computational complexity, as demonstrated by computer simulations.",
keywords = "DOA estimation, non-coherent, phase retrieval, proximal gradient",
author = "Zhengyu Wan and Wei Liu",
note = "Publisher Copyright: {\textcopyright} 2020 IEEE.; 54th Asilomar Conference on Signals, Systems and Computers, ACSSC 2020 ; Conference date: 01-11-2020 Through 05-11-2020",
year = "2021",
month = jun,
doi = "10.1109/IEEECONF51394.2020.9443484",
language = "English",
series = "Conference Record - Asilomar Conference on Signals, Systems and Computers",
publisher = "IEEE Computer Society",
pages = "220--224",
editor = "Matthews, {Michael B.}",
booktitle = "Conference Record of the 54th Asilomar Conference on Signals, Systems and Computers, ACSSC 2020",
address = "United States",
}