Outlier-robust tri-percentile parameter estimation of compound-Gaussian clutter with lognormal distributed texture

Compound-Gaussian model with lognormal distributed texture (CG-LNT) is one of effective amplitude distribution models to characterize high-resolution sea clutter and therefore it is important for high-resolution maritime radars to robustly estimate the parameters of the CG-LNT model from raw radar d...

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Veröffentlicht in:	Digital signal processing Jg. 120; S. 103307
Hauptverfasser:	Feng, Tian, Shui, Peng-Lang
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Elsevier Inc 01.01.2022
Schlagworte:	Compound-Gaussian clutter with lognormal distributed texture High resolution sea clutter Outlier-robust estimation Tri-percentile estimator High resolution sea clutter Outlier-robust estimation Tri-percentile estimator Compound-Gaussian clutter with lognormal distributed texture
ISSN:	1051-2004, 1095-4333
Online-Zugang:	Volltext
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