DocumentCode
909347
Title
The joint estimation of signal and noise from the sum envelope
Author
Benedict, Thomas R. ; Soong, T.T.
Volume
13
Issue
3
fYear
1967
fDate
7/1/1967 12:00:00 AM
Firstpage
447
Lastpage
454
Abstract
The separate estimation of carrier strength and of narrowband additive noise strength from
envelope samples is considered. The mathematical problem is one of the joint estimation of the two parameters in the Rice probability-density function. The estimation is useful, for example, in the radar analysis of targets containing both specular and distributed components. In the mathematical analysis, theoretical Cramér-Rao lower bounds on the standard deviation in unbiased estimation are first determined. Estimation procedures based upon the method of maximum likelihood and two simple methods of moments are then developed. An error analysis for each procedure is performed by Monte Carlo simulation. For the purpose of comparison, two direct averaging methods are also analyzed. Results are extended to the case where an additional noise is also present, but with known strength. It is also shown that the time average of a slowly-varying carrier strength can be estimated despite the presence of noise.
envelope samples is considered. The mathematical problem is one of the joint estimation of the two parameters in the Rice probability-density function. The estimation is useful, for example, in the radar analysis of targets containing both specular and distributed components. In the mathematical analysis, theoretical Cramér-Rao lower bounds on the standard deviation in unbiased estimation are first determined. Estimation procedures based upon the method of maximum likelihood and two simple methods of moments are then developed. An error analysis for each procedure is performed by Monte Carlo simulation. For the purpose of comparison, two direct averaging methods are also analyzed. Results are extended to the case where an additional noise is also present, but with known strength. It is also shown that the time average of a slowly-varying carrier strength can be estimated despite the presence of noise.Keywords
Signal estimation; maximum-likelihood (ML) estimation; Additive noise; Error analysis; Gaussian noise; Moment methods; Narrowband; Noise level; Radar cross section; Radar detection; Signal detection; Sonar detection;
fLanguage
English
Journal_Title
Information Theory, IEEE Transactions on
Publisher
ieee
ISSN
0018-9448
Type
jour
DOI
10.1109/TIT.1967.1054037
Filename
1054037
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