Abstract: This paper is concerned with the direction-of-arrival estimation problem in impulsive noise modeled as symmetric α-stable (SαS) distribution. A generalized fractional lower order spatial-temporal matrix (FSTM) of the array measurements is defined. Theoretical analysis shows that the matrix FSTM can be used to obtain the estimation of noise subspace. Then a new DOA estimation algorithm using subspace-based techniques is proposed. The algorithm is much efficient to restrain the strong impulsive noise for low signal-to-noise ratio (SNR) case. Simulation results demonstrate the effectiveness of the proposed algorithm.

Key words: direction-of-arrival estimation, impulsive noise, symmetric α-stable distribution, fractional lower order spatial-temporal matrix, singular value decomposition, MUSIC algorithm