Performance analysis of a Robust Low-Rank STAP filter in low-rank Gaussian clutter

In this paper, we consider that the disturbance of a STAP system is composed of a low-rank Gaussian clutter and a white Gaussian noise. From this model, the theoretical SNR Loss of a Robust Low-Rank STAP filter based on the Normalized Sample Covariance Matrix is derived by means of a perturbation an...

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Bibliographic Details
Main Authors: Ginolhac, G, Forster, P
Format: Conference Proceeding
Language:English
Subjects:
Adaptive filters
Clutter
Contamination
Covariance matrix
Eigenvalues and eigenfunctions
Gaussian noise
Low-Rank Gaussian Clutter
Noise robustness
Normalized Sample Covariance Matrix
Performance analysis
Perturbation Analysis
Signal to noise ratio
STAP
White noise
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Summary:In this paper, we consider that the disturbance of a STAP system is composed of a low-rank Gaussian clutter and a white Gaussian noise. From this model, the theoretical SNR Loss of a Robust Low-Rank STAP filter based on the Normalized Sample Covariance Matrix is derived by means of a perturbation analysis. Theoretical results are shown to be in good agreement with simulations for a realistic STAP configuration. Our analysis extends previous result on the SNR loss of Low-Rank STAP filtering based on the Sample Covariance Matrix.
ISSN:1520-6149
2379-190X
DOI:10.1109/ICASSP.2010.5496218