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

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...

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Bibliographic Details
Published in:IEEE transactions on signal processing 2013-01, Vol.61 (1), p.57-61
Main Authors: Ginolhac, G., Forster, P., Pascal, F., Ovarlez, J-P
Format: Article
Language:English
Subjects:
Applied sciences
Clutter
Computer Science
Covariance matrix
Detection, estimation, filtering, equalization, prediction
Engineering Sciences
Exact sciences and technology
Gaussian
Gaussian noise
Heterogeneity
Information, signal and communications theory
Low-rank clutter
Mathematical models
Noise
normalized sample covariance matrix
perturbation method
Perturbation methods
Radar
Signal and communications theory
Signal and Image processing
Signal to noise ratio
Signal, noise
SIRV
STAP
Studies
Telecommunications and information theory
Transaction processing
Vectors
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Summary: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 Covariance 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.
ISSN:1053-587X
1941-0476
DOI:10.1109/TSP.2012.2226162