Performance of two Low-Rank STAP Filters in a Heterogeneous Noise - Archive ouverte HAL Accéder directement au contenu
Article Dans Une Revue IEEE Transactions on Signal Processing Année : 2013

Performance of two Low-Rank STAP Filters in a Heterogeneous Noise

Résumé

This paper considers the Space Time Adaptive Processing (STAP) problem where the disturbance is modeled as the sum of a Low-Rank (LR) Spherically Invariant Random Vector (SIRV) clutter and a zero-mean white Gaussian noise. To derive our adaptive LR-STAP filters, the estimation of the projector onto the clutter subspace is performed from the Sample Covariance Matrix (SCM) and the Normalized Sample Covari-ance Matrix (NSCM). We compute the theoretical performance of both corresponding LR-STAP filters through the analysis of the Signal to Interference plus Noise Ratio (SINR) Loss, based on a perturbation analysis. Numerical simulations validate the theoretical formula and allow to show that the LR-STAP filter built from the SCM performance does not depend on the heterogeneity of the SIRV clutter whereas the LR-STAP filter built from the NSCM performance does.
Fichier principal
Vignette du fichier
Paper_PerfoSTAPLowRankNonHomoClutter_v2-1_onecolumn.pdf (354.72 Ko) Télécharger le fichier
Origine : Fichiers produits par l'(les) auteur(s)
Loading...

Dates et versions

hal-00828338 , version 1 (30-05-2013)

Identifiants

Citer

Guillaume Ginolhac, Philippe Forster, Frédéric Pascal, Jean-Philippe Ovarlez. Performance of two Low-Rank STAP Filters in a Heterogeneous Noise. IEEE Transactions on Signal Processing, 2013, 61 (1), pp.57 - 61. ⟨10.1109/TSP.2012.2226162⟩. ⟨hal-00828338⟩
190 Consultations
363 Téléchargements

Altmetric

Partager

Gmail Facebook X LinkedIn More