Selective Range Iterative Adaptive Approach for High-Resolution DOA Estimation

In this paper, the problem of direction-of-arrival (DOA) estimation for a uniform linear array with single-snapshot observations is addressed. Two non-parametric DOA estimators are developed, which can be applied in any azimuth range with one snapshot. Their main idea is iteratively updating the DOA estimates using the weighted least squares and covariance matrix. Two criteria for implementing the covariance matrix are devised, which guarantee high resolution of the proposed methods. The simulation results are included to demonstrate the superiority of our algorithms over several conventional DOA methods in terms of both estimation performance and computational complexity.