NDLI: A new tool for multidimensional low-rank STAP filter: Cross HOSVDs

Content Provider	IEEE Xplore Digital Library
Author	Boizard, M. Ginolhac, G. Pascal, F. Forster, P.
Copyright Year	2012
Description	Author affiliation: Laboratoire SATIE - ENS Cachan - CNRS - UniverSud, 61 av du President Wilson 94235 CACHAN Cedex, France (Forster, P.) \|\| Laboratoire SATIE - ENS Cachan - CNRS - UniverSud, 61 av du President Wilson 94235 Cachan Cedex, France (Boizard, M.; Ginolhac, G.) \|\| Laboratoire SONDRA - Supelec, Plateau de Moulon, 3 rue Joliot-Curie, F-91192 Gif-sur-Yvette Cdex, France (Pascal, F.)
Abstract	Space Time Adaptive Processing (STAP) is a two-dimensional adaptive filtering technique which uses jointly temporal and spatial dimensions to suppress disturbance. Disturbance contains both the clutter arriving from signal backscattering of the ground and the thermal noise. In practical cases, the STAP clutter can be considered to have a low rank structure, allowing to derive a low rank vector STAP filter, based on the projector onto the clutter subspace. In order to process new STAP applications (MIMO STAP, polarimetric STAP …) and keeping the multidimensional structure, we propose in this paper a new low-rank tensor STAP filter based on a generalization of the Higher Order Singular Value Decomposition (HOSVD): the Cross-HOSVDs. This decomposition uses at the same time the simple (like polarimetric) and the combined information (for example spatio-temporal). We apply the filter on polarimetric STAP and compute the SNR Loss with Monte-Carlo simulations.
Starting Page	1324
Ending Page	1328
File Size	367744
Page Count	5
File Format	PDF
ISBN	9781467310680
ISSN	20761465
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2012-08-27
Publisher Place	Romania
Access Restriction	Subscribed
Rights Holder	EURASIP
Subject Keyword	Tensile stress Vectors Covariance matrix Clutter Least squares approximation Signal to noise ratio
Content Type	Text
Resource Type	Article

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