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MUSIC, maximum likelihood, and Cramer-Rao bound

Stoica, P., Nehorai, Arye·1989·IEEE Transactions on Acoustics, Speech, and Signal Processing
DOI 10.1109/29.17564
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Abstract

The performance of the MUSIC and ML methods is studied, and their statistical efficiency is analyzed. The Cramer-Rao bound (CRB) for the estimation problems is derived, and some useful properties of the CRB covariance matrix are established. The relationship between the MUSIC and ML estimators is investigated as well. A numerical study is reported of the statistical efficiency of the MUSIC estimator for the problem of finding the directions of two plane waves using a uniform linear array. An exact description of the results is included.>

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Research works printed but not linked: 43

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Metadata

Authors
Stoica, P., & Nehorai, A.
Venue
IEEE Transactions on Acoustics, Speech, and Signal Processing
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Published
1989-05
Volume
37
Issue
5
Pages
720-741
ISSN
0096-3518 (ISSN-L)
DOI
10.1109/29.17564
OpenAlex
W2149755721
Cited by
2,820
References
0
FWCI
61.03
Type
journal article
Language
en
Open access
closed
Licence
ieeexplore.ieee.org/Xplorehelp/downloads/license-information/IEEE.html (vor)

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Stoica, P., & Nehorai, A. (1989). MUSIC, maximum likelihood, and Cramer-Rao bound. IEEE Transactions on Acoustics, Speech, and Signal Processing. https://doi.org/10.1109/29.17564

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