New expression for the functional transformation of the vector Cramér-Rao lower bound

Ali A. Nasir, Hani Mehrpouyan, Rodney A. Kennedy

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Scopus citations

Abstract

Assume that it is desired to estimate α = f(θ), where f(·) is an r-dimensional function. This paper derives the general expression for the functional transformation of the vector Cramér-Rao lower bound (CRLB). The derived bound is a tight lower bound on the estimation of uncoupled parameters, i.e., parameters that can be estimated separately. Unlike previous results in the literature, this new expression is not dependent on the inverse of the Fisher's information matrix (FIM) of the untransformed parameters, θ. Thus, it can be applied to scenarios where the FIM for θ is ill-conditioned or singular. Finally, as an application, the derived transformation is applied to determine the exact CRLB for estimation of channel parameters in amplify-and-forward relaying networks.

Original languageEnglish
Title of host publication2013 IEEE 14th Workshop on Signal Processing Advances in Wireless Communications, SPAWC 2013
Pages395-399
Number of pages5
DOIs
StatePublished - 2013
Externally publishedYes

Publication series

NameIEEE Workshop on Signal Processing Advances in Wireless Communications, SPAWC

Keywords

  • Cramér-Rao lower bound (CRLB)
  • Fisher information matrix (FIM)
  • channel estimation

ASJC Scopus subject areas

  • Electrical and Electronic Engineering
  • Computer Science Applications
  • Information Systems

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