Bias analysis of source location estimates from eigenspace-based spatial-spectrum estimators

The authors rigorously derive bias expressions of source location estimates for MUSIC, MIN-NORM, and FINE for arbitrarily configured arrays. These bias expressions are a function of the null spectrum and statistics of estimated signal eigenvectors only. These expressions are valid over a wide range of signal-to-noise ratios (SNRs) extending down into the resolution threshold region. It is shown that these expressions can be accurately applied to a small number of snapshot cases.<
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