Signal Processing 2020 DOI: 10.1016/j.sigpro.2020.107644 View full text
Habti Abeida, Jean-Pierre Delmas

Abstract: Subspace-based algorithms that exploit the orthogonality between a sample subspace and a parameterdependent subspace have proved very useful in many applications in signal processing. The purpose of this paper is to complement theoretical results already available on the asymptotic (in the number of measurements) performance of subspace-based estimators derived in the Gaussian context to real elliptical symmetric (RES), circular complex elliptical symmetric (C-CES) and non-circular CES (NC-CES) distributed obs…

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