@inproceedings{f7bc17dd748d4262b19df2b79d9890db,
title = "Wideband DOA Estimation Based on Tensor Completion and Decomposition",
abstract = "A tensor-based wideband direction of arrival (DOA) estimation method is proposed in this paper. Virtual arrays are initially generated and extended into a unified ULA across all frequencies of interest. Next, the covariance matrices of these virtual array models are computed and stacked to form a three-dimensional tensor. Then, tensor completion with a denoising step is presented, and DOAs can be obtained after tensor decomposition. Simulations demonstrate that improved performance can be achieved by the proposed method in scenarios with varying source power ratios across frequencies.",
keywords = "denoising, gridless method, tensor completion, underdetermined, Wideband DOA estimation",
author = "Kangning Li and Qing Shen and Wei Liu and Min Wang",
note = "Publisher Copyright: {\textcopyright} 2024 IEEE.; 2024 IEEE International Symposium on Circuits and Systems, ISCAS 2024 ; Conference date: 19-05-2024 Through 22-05-2024",
year = "2024",
doi = "10.1109/ISCAS58744.2024.10558253",
language = "English",
series = "Proceedings - IEEE International Symposium on Circuits and Systems",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
booktitle = "ISCAS 2024 - IEEE International Symposium on Circuits and Systems",
address = "United States",
}