A compact Cramer-Rao bound expression for parametric estimation of superimposed signals

The problem of parameter estimation of superimposed signals in white Gaussian noise is considered. Closed-form expressions of the Cramer-Rao bound for real or complex signals with vector parameters are derived, extending recent results by P. Stoica and A. Nehorai (1989).< >

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Bibliographic Details
Published inIEEE transactions on signal processing Vol. 40; no. 5; pp. 1226 - 1230
Main Authors Yau, S.F., Bresler, Y.
Format Journal Article
LanguageEnglish
Published IEEE 01.05.1992
Subjects
Covariance matrix
Estimation error
Gaussian noise
Maximum likelihood estimation
Parameter estimation
Petroleum
Random variables
Signal resolution
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Summary:The problem of parameter estimation of superimposed signals in white Gaussian noise is considered. Closed-form expressions of the Cramer-Rao bound for real or complex signals with vector parameters are derived, extending recent results by P. Stoica and A. Nehorai (1989).< >
Bibliography:ObjectType-Article-2
SourceType-Scholarly Journals-1
ObjectType-Feature-1
content type line 23
ISSN:1053-587X
1941-0476
DOI:10.1109/78.134484