Performance analysis of eigenstructure based DOA estimators employing conjugate symmetric beamformers

If one employs conjugate centro-symmetric beamforming weight vectors in conjunction with a uniformly-spaced linear array, the noise eigenvectors in Beamspace MUSIC may be computed as the 'smallest' eigenvectors of the real part of the beamspace sample covariance matrix. Through theoretical performance analysis and verification via Monte Carlo simulations, this paper shows that taking the real part offers significant performance gains in addition to computational gains, particularly for correlated sources.<
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