Music, G-Music, and maximum-Likelihood Performance Breakdown
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2008
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Johnson, B.A.
Abramovich, Y.
Mestre, X.
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IEEE Transactions on Signal Processing, 2008; 56(8):3944-3958
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Abstract
Direction-of-arrival estimation performance of MUSIC and maximum-likelihood estimation in the so-called "threshold" area is analyzed by means of general statistical analysis (GSA) (also known as random matrix theory). Both analytic predictions and direct Monte Carlo simulations demonstrate that the well-known MUSIC-specific "performance breakdown" is associated with the loss of resolution capability in the MUSIC pseudo-spectrum, while the sample signal subspace is still reliably separated from the actual noise subspace. Significant distinctions between (MUSIC/G-MUSIC)-specific and MLE-intrinsic causes of "performance breakdown," as well as the role of "subspace swap" phenomena, are specified analytically and supported by simulation. © 2008 IEEE.
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