CFAR property and robustness of the lowrank adaptive normalized matched filters detectors in low rank compound gaussian context - Archive ouverte HAL
Communication Dans Un Congrès Année : 2014

CFAR property and robustness of the lowrank adaptive normalized matched filters detectors in low rank compound gaussian context

Résumé

In the context of an heterogeneous disturbance with a Low Rank (LR) structure (referred to as clutter), one may use the LR approximation for detection process. Indeed, in such context, adaptive LR schemes have been shown to require less secondary data to reach equivalent performances as classical ones. The LR approximation consists on cancelling the clutter rather than whitening the whole noise. The main problem is then the estimation of the clutter subspace instead of the noise covariance matrix itself. Maximum Likelihood estimators (MLE), under different hypothesis [1][2][3], of the clutter subspace have been recently proposed for a noise composed of a LR Compound Gaussian (CG) clutter plus a white Gaussian Noise (WGN). This paper focuses on the performances of the LR Adaptive Normalized Matched Filter (LR-ANMF) detector based on these different clutter subspace estimators. Numerical simulations illustrate its CFAR property and robustness to outliers.
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Dates et versions

hal-01059726 , version 1 (01-09-2014)

Identifiants

Citer

Arnaud Breloy, Guillaume Ginolhac, Frédéric Pascal, Philippe Forster. CFAR property and robustness of the lowrank adaptive normalized matched filters detectors in low rank compound gaussian context. 2014 IEEE 8th Sensor Array and Multichannel Signal Processing Workshop (SAM 2014) , Jun 2014, La Corogne, Spain. pp.301 - 304, ⟨10.1109/SAM.2014.6882401⟩. ⟨hal-01059726⟩
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