MUSIC, G-MUSIC, and maximum-likelihood performance breakdown
Por:
Johnson, BA, Abramovich, YI, Mestre, X
Publicada:
1 ago 2008
Resumen:
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.
Filiaciones:
Johnson, BA:
RLM Pty Ltd, Edinburgh, SA 5111, Australia
Univ S Australia, Inst Telecommun Res, Mawson Lakes, SA 5095, Australia
Abramovich, YI:
DSTO, ISR Div, Edinburgh, SA 5111, Australia
Mestre, X:
CTTC, Barcelona 08860, Spain
Green Accepted
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