DocumentCode
641796
Title
Statistical resolution limit based on Cramer-Rao bound
Author
DingHong Lu ; Yang Li ; ChaoJie Liang
Author_Institution
Sch. of Electron. & Inf., Being Inst. of Technol., Beijing, China
fYear
2013
fDate
14-16 April 2013
Firstpage
1
Lastpage
5
Abstract
An extension study of Smith´s result is proposed. An exact Cramer-Rao bound expression of frequency difference is deduced. The Cramer-Rao bound expression is analyzed asymptotically for the closely spaced targets case. A general close form of statistical resolution limit (SRL) is provided based on the asymptotic results. The SRL proposed is a function of power ratio, phase difference, and SNR. It is found that the power ratio and phase difference affect the relationship between SRL and SNR severely in further examination of the effect of the power ratio and phase difference. Maximum likelihood Estimation (MLE) simulation results shows that the variance of the MLE is close to the CRB in the resolvable area, but departs the CRB at the predicted resolution limit point. Simulation results proved that the statistical resolution limit proposed is correct and accurate.
Keywords
frequency estimation; maximum likelihood estimation; signal resolution; target tracking; Cramer-Rao bound expression; MLE simulation; SNR; SRL; Smith´s result; asymptotic results; closely spaced targets case; frequency difference; maximum likelihood estimation; phase difference; power ratio; statistical resolution limit; Closely spaced targets; Cramer-Rao bound; Smith´s criteria; Statistical resolution limit;
fLanguage
English
Publisher
iet
Conference_Titel
Radar Conference 2013, IET International
Conference_Location
Xi´an
Electronic_ISBN
978-1-84919-603-1
Type
conf
DOI
10.1049/cp.2013.0384
Filename
6624548
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