A MUSIC like DOA estimation method for signals with low SNR

Abstract

A new kind of noise subspace based direction-of-arrival (DOA) estimation method is proposed. Unlike the MUSIC algorithm , the novel MUSIC like method use signal subspace estimated by multi-stage Wiener filter (MSWF) instead of array steering vectors for orthogonality test. Simulation shows that the proposed method offers improvements in precision and resolution performance for signals with low SNR, compared to MUSIC and ESPRIT algorithms.