Wideband DOA Estimation Based on Tensor Completion and Decomposition
Kangning Li, Qing Shen, Wei Liu, Min Wang · 2024
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.