Linear Prediction-Based DOA Estimator in Non-Uniform Noise

Abstract

We study the DOA estimation problem in the presence of non-uniform white noise and propose a new method based on a linear prediction approach. The problem is first converted to the uniform noise case by averaging autocorrelations of the array output. The resulting equations can be seen as a quadratic eigenvalue problem, whose solution is the vector of DOA estimations. This new approach is iteration-free and has a low complexity. Simulation results show the effectiveness of the proposed algorithm.