The Semiparametric Cram\'er-Rao Bound for Complex Elliptically Symmetric Distributions
Signal Processing
2019-02-26 v2
Abstract
This letter aims at extending the Constrained Semiparametric Cramer-Rao Bound (CSCRB) for the joint estimation of mean vector and scatter matrix of Real Elliptically Symmetric (RES) distributions to Complex Elliptically Symmetric (CES) distributions. A closed form expression for the complex CSCRB (CCSCRB) is derived by exploiting the so-called \textit{Wirtinger} or -\textit{calculus}. Finally, the CCSCRB for the estimation of the complex mean vector and scatter matrix of a set of complex -distributed random vectors is provided as an example of application.
Keywords
Cite
@article{arxiv.1807.08505,
title = {The Semiparametric Cram\'er-Rao Bound for Complex Elliptically Symmetric Distributions},
author = {Stefano Fortunati and Fulvio Gini and Maria S. Greco and Abdelhak M. Zoubir},
journal= {arXiv preprint arXiv:1807.08505},
year = {2019}
}
Comments
This letter has been merged with another letter and resubmitted as a full IEEE TSP paper