A robust signal subspace estimator

Abstract : An original estimator of the orthogonal projector onto the signal subspace is proposed. This estimator is derived as the maximum likelihood estimator for a model of sources plus orthogonal outliers, both with varying power (modeled by Compound Gaussians process), embedded in a white Gaus-sian noise. Validity and interest-in terms of performance and robustness-of this estimator is illustrated through simulation results on a low rank STAP filtering application.
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A Breloy, Y Sun, P Babu, G Ginolhac, Daniel Palomar, et al.. A robust signal subspace estimator. 2016 IEEE Statistical Signal Processing Workshop (SSP), Jun 2016, Palma de Majorque, Spain. ⟨10.1109/ssp.2016.7551737 ⟩. ⟨hal-01323380⟩

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