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MUSIC, G-MUSIC, and Maximum-Likelihood Performance Breakdown

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3 Author(s)
Ben A. Johnson ; Inst. for Telecommun. Res., Univ. of South Australia, Mawson Lakes, SA ; Yuri I. Abramovich ; Xavier Mestre

Direction-of-arrival estimation performance of MUSIC and maximum-likelihood estimation in the so-called ldquothresholdrdquo 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 ldquoperformance breakdownrdquo 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 ldquoperformance breakdown,rdquo as well as the role of ldquosubspace swaprdquo phenomena, are specified analytically and supported by simulation.

Published in:

IEEE Transactions on Signal Processing  (Volume:56 ,  Issue: 8 )