A robust signal subspace estimator


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 Gaussian 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.

In IEEE Statistical Signal Processing Workshop (SSP)
Arnaud Breloy
Arnaud Breloy
Associate professor (MCF-HDR)