A novel algorithm for 2-D DOA estimation in the presence of impulsive noise

Abstract

This paper presents a particular array configuration and the cross-covariation matrices for the subarray sensor outputs. Additionally, a new subspace-based two-dimensional (2-D) bearing estimation algorithm using fractional lower order statistics is proposed. This algorithm estimates the 2-D directions-of-arrival of array sensor signals in the presence of impulsive noise, and can be modeled as a complex symmetric alpha-stable (S/spl alpha/S) process. It exploits the infinite pth-moments for p /spl ges/ /spl alpha/ and finite fractional pth-order moments for 1 < p < /spl alpha/ for S/spl alpha/S processes. The algorithm is robust against additive S/spl alpha/S noise. Simulation results show the feasibility and effectiveness of the proposed algorithm.