English

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 CR\mathbb{C}\mathbb{R}-\textit{calculus}. Finally, the CCSCRB for the estimation of the complex mean vector and scatter matrix of a set of complex tt-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