Performance of Parametric and Covariance Based STAP Tests in Compound-Gaussian Clutter

Michels, J. H., Rangaswamy, M., and Himed, B., Performance of Parametric and Covariance Based STAP Tests in Compound-Gaussian Clutter, Digital Signal Processing 12 (2002) 307–328 The performance of a parametric space–time adaptive processing method is presented here. Specifically, we consider signal...

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Veröffentlicht in:Digital signal processing 2002, Vol.12 (2), p.307-328
Hauptverfasser: Michels, James H., Rangaswamy, Muralidhar, Himed, Braham
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Sprache:eng
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Zusammenfassung:Michels, J. H., Rangaswamy, M., and Himed, B., Performance of Parametric and Covariance Based STAP Tests in Compound-Gaussian Clutter, Digital Signal Processing 12 (2002) 307–328 The performance of a parametric space–time adaptive processing method is presented here. Specifically, we consider signal detection in additive disturbance containing compound-Gaussian clutter plus additive Gaussian thermal white noise. Performance is compared to the normalized adaptive matched filter and the Kelly GLRT receiver using simulated and measured data. We focus on the issues of detection and false alarm probabilities, constant false alarm rate, robustness with respect to clutter texture power variations, and reduced training data support.
ISSN:1051-2004
1095-4333
DOI:10.1006/dspr.2002.0437