Subspace‐based direction‐of‐arrival estimation using centro‐symmetrical arrays

Abstract

A fast algorithm is presented to dramatically reduce the complexity of the multiple signal classification (MUSIC) algorithm with centro-symmetrical arrays. The proposed method requires only real-valued computations with a limited spectral search over half of the angular field-of-view, and the dimension of the noise subspace and that of the search vector are reduced, leading to about 96.875% complexity reduction as compared with MUSIC. Simulations show the new estimator performs well at low signal-to-noise ratio and with a small number of snapshots.