Adaptive Detection Application of Covariance Matrix Estimator for Correlated Non-Gaussian Clutter

In the clutter-dominated disturbance modeled as spherically invariant random vectors with the same covariance matrix and possibly correlated texture components, we propose an estimator of covariance matrix, which exploits all secondary data fully and introduces a constraint of matrix trace. Moreover...

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Veröffentlicht in:	IEEE transactions on aerospace and electronic systems 2010-10, Vol.46 (4), p.2108-2117
Hauptverfasser:	He, You, Jian, Tao, Su, Feng, Qu, Changwen, Ping, Dianfa
Format:	Artikel
Sprache:	eng
Schlagworte:	Adaptation model Clutter Computer simulation Correlation Covariance matrix Detectors Estimators Maximum likelihood estimation Monte Carlo methods Monte Carlo simulation Radar Statistical analysis Studies Surface layer Texture
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