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

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

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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% 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.

References

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      • 2. Roy, R., Kailath, T.: ‘ESPRIT-estimation of signal parameters via rotational invariance techniques’, Trans. Signal Process., 1989, 37, (7), pp. 984995.
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http://iet.metastore.ingenta.com/content/journals/10.1049/el.2016.1953
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