Advances in Signal Processing Vol. 2(1), pp. 18 - 28
DOI: 10.13189/asp.2014.020103
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Can the Threshold Performance of Maximum Likelihood DOA Estimation be Improved by Tools from Random Matrix Theory?


Yuri I. Abramovich 1, Ben A. Johnson 2,*
1 Institute for Telecommunications Research University of South Australia, Mawson Lakes, SA 5045 Australia
2 Colorado School of Mines, Golden, CO 80401

ABSTRACT

For direction of arrival (DOA) estimation in the threshold region, it has been shown that use of Random Matrix Theory (RMT) eigensubspace estimates provides significant improvement in MUSIC performance. Here we investigate whether these RMT methods can also improve the threshold performance of unconditional (stochastic) maximum likelihood DOA estimation (MLE).

KEYWORDS
Signal detection and estimation, maximum-likelihood estimation, random matrix theory

Cite This Paper in IEEE or APA Citation Styles
(a). IEEE Format:
[1] Yuri I. Abramovich , Ben A. Johnson , "Can the Threshold Performance of Maximum Likelihood DOA Estimation be Improved by Tools from Random Matrix Theory?," Advances in Signal Processing, Vol. 2, No. 1, pp. 18 - 28, 2014. DOI: 10.13189/asp.2014.020103.

(b). APA Format:
Yuri I. Abramovich , Ben A. Johnson (2014). Can the Threshold Performance of Maximum Likelihood DOA Estimation be Improved by Tools from Random Matrix Theory?. Advances in Signal Processing, 2(1), 18 - 28. DOI: 10.13189/asp.2014.020103.