A Robust Iterative Method for Wideband DoA Estimation with a Uniform Circular Array

Wideband direction-of-arrival (DoA) estimation is desirable with the ever-increasing data rate in wireless communication systems. In this paper, an iterative coherent signal-subspace method for wideband two-dimensional DoA estimation with a uniform circular array is proposed, which includes three steps in each iteration. The first step selects a subset of frequency points for the subsequent focusing process to avoid unnecessary complexity. The second step realizes the focusing process, where the angle intervals for generating focusing matrices with robust-ness are designed, and then the signal-subspaces at the selected frequency points are focused into a reference frequency. The third step estimates DoAs with the multiple signal classification (MUSIC) algorithm where the range of MUSIC spatial spectrum is constrained by the aforementioned angle intervals, thereby further reducing the complexity. The key parameters of the proposed method in the current iteration are adjusted based on the previous estimation results. The simulation results show that the proposed method enjoys better performance and implementation efficiency when compared with benchmark methods.