Two-Dimensional DOA Estimation of Multipath Signals Using Compressive Sensing

Abstract

Multipath signal is often considered an interference that must be removed. The coherence between multipath and direct component makes it difficult to use conventional direction-of-arrival (DOA) estimation methods in a smart antenna system. This study demonstrates a new multipath signal DOA estimation technique of the L-shaped array. The proposed algorithm first converts the two-dimensional DOA estimation to the DOA estimation of uniform linear array, and apply the independent component analysis algorithm to obtain the steering vectors with multipath information. Then, based on the special structure of the obtained steering vectors and spatial sparsity of the multipath signals, the algorithm uses the solution of the sparse signal reconstruction problem in the compressive sensing theory, and search the space spectrums to acquire the synthesis angles for each direct component and multipath component. Finally according to the geometric relationship to obtained the azimuth and elevation angles. Comparative simulation tests and analysis prove the effectiveness of the proposed algorithm in estimation accuracy.