Direction-of-Arrival Estimation With ULA: A Spatial Annihilating Filter Reconstruction Perspective

Abstract

Direction-of-arrival (DOA) estimation under low signal-to-noise ratio (SNR) and snapshot deficient scenarios has practical application value. Since the array output of the uniform linear array (ULA) can be viewed as a linear combination of the equal interval sampling complex exponentials, it can be annihilated by a spatial annihilating filter and the DOAs are able to be obtained from the filter coefficients. To reconstruct the spatial annihilating filter, a multiple measurement vectors structured total least norm approach is used under the structured total least squares framework, along with a spatial fast Fourier transform based initialization method. It is proved that the new method is equivalent to the deterministic maximum likelihood estimator of DOA. It can resolve up to M - 1 sources using M-element ULA and is capable of both incoherent and coherent signals. Numerical results show that the proposed method surpasses the representative methods largely in resolution and estimation performance under the low SNR, snapshot deficient, and closely spaced signals scenarios.

Keywords

• Direction-of-arrival (DOA) estimation
• annihilating filter
• structured total least norm (STLN)
• low SNR and snapshot deficient scenarios