One‐bit DOA estimation in non‐uniform noise with alternating minimization method

This letter presents a method to optimize the estimation of direction of arrival (DOA) using the uniform linear array (ULA) with one‐bit signals in the presence of non‐uniform noise. With the Toeplitz properties and the rank characteristics of the signal subspace matrix formed by the ULA, the alternating minimization (AM) method is employed to optimize the estimation problem. To address this challenge further, we utilize the singular value thresholding (SVT) method and the approximate projection method. The angle deviations caused by non‐uniform noise can be effectively corrected and a significant improvement in the estimation performance can be achieved. The feasibility and effectiveness of the proposed method are demonstrated through simulation results. The alternating minimization method is employed to optimize the estimation of direction of arrival using the uniform linear array (ULA) with one‐bit signals in the presence of non‐uniform noise. The optimization problem is established using the Toeplitz properties and rank characteristics of the ULA's signal subspace matrix. The proposed method effectively correct the angle deviations caused by non‐uniform noise, resulting in a significant improvement in the estimation performance.