Homodyned-K fluctuation model

The statistics of the matched filter output are examined for the case of a nonfluctuating target in K-type clutter. The resulting "homodyned-K" backscatter model is a generalization of the classic Rayleigh-Rice model and has applications in radar, sonar, optics, and ultrasonic medical imag...

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Bibliographic Details
Published in:IEEE transactions on aerospace and electronic systems 2002-04, Vol.38 (2), p.527-542
Main Authors: Drumheller, D.M., Lew, H.
Format: Article
Language:English
Subjects:
Air traffic control
Asymptotic properties
Backscatter
Backscattering
Biomedical optical imaging
Clutter
Equations
Fluctuations
Matched filters
Mathematical analysis
Mathematical models
Radar
Radar applications
Radar imaging
Sonar
Sonar applications
Statistics
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Summary:The statistics of the matched filter output are examined for the case of a nonfluctuating target in K-type clutter. The resulting "homodyned-K" backscatter model is a generalization of the classic Rayleigh-Rice model and has applications in radar, sonar, optics, and ultrasonic medical imaging. This paper presents exact and asymptotic equations for the probability density function, survival function, moments, and parameter estimation. The exact equations are expressed as infinite series. Also provided are proof of the series' convergence and guidance for their numerical computation. Examples illustrating the model's application to radar and sonar are presented using electromagnetic and acoustic backscatter data.
ISSN:0018-9251
1557-9603
DOI:10.1109/TAES.2002.1008984