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 wi...
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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% complexityreduction as compared with music. Simulations show the new estimator performs well at low signal-to-noise ratio and with a small number of snapshots.
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