@inproceedings{84a156430ded4acc8fd88f937cda5a62,
title = "DOA Estimation via SVD Denoising with Coprime Array Interpolation",
abstract = "In this paper, we propose a novel coprime array interpolation method for direction of arrival (DOA) estimation. By incorporating the Singular Value Decomposition (SVD) denoising algorithm, the proposed algorithm has the capability of suppressing the impact of noise. Through array interpolation, the sparse non-uniform coprime array is reconstructed to an uniform linear array (ULA) with the same aperture. Leveraging the ideal covariance matrix properties of the ULA, which includes Toeplitz matrix and Hermitian semi-definite priors, low-rank recovery is achieved using convex optimization techniques. Simulation results indicate that the proposed denoising DOA algorithm based on array interpolation outperforms in terms of degrees of freedom (DOF) and root-mean-square error (RMSE) of azimuth estimation.",
keywords = "DOA, SVD, Toeplitz matrix, coprime array, covariance matrix",
author = "Siming Chen and Weibo Deng and Yanmo Hu and Xin Zhang",
note = "Publisher Copyright: {\textcopyright} 2024 IEEE.; 2024 International Symposium on Antennas and Propagation, ISAP 2024 ; Conference date: 05-11-2024 Through 08-11-2024",
year = "2024",
doi = "10.1109/ISAP62502.2024.10846368",
language = "英语",
series = "ISAP 2024 - International Symposium on Antennas and Propagation",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
booktitle = "ISAP 2024 - International Symposium on Antennas and Propagation",
address = "美国",
}