Title :
Periodic CRB for non-Bayesian parameter estimation
Author :
Routtenberg, Tirza ; Tabrikian, Joseph
Author_Institution :
Dept. of Electr. & Comput. Eng., Ben-Gurion Univ. of the Negev, Beer-Sheva, Israel
Abstract :
In many practical parameter estimation problems, the appropriate criterion is periodic in the parameter space. This paper considers the mean square periodic error (MSPE) criterion combined with periodic unbiasedness for which the conventional Cramer-Rao bound (CRB) does not provide a valid bound. The periodic unbiasedness is defined using the Lehmann-unbiasedness concept, and a Cramer-Rao type bound on the MSPE of any periodic unbiased estimator is derived. The proposed bound and performance of some periodic unbiased estimators for phase estimation problem are compared in terms of MSPE in a phase estimation problem with Gaussian noise.
Keywords :
Bayes methods; Gaussian noise; mean square error methods; phase estimation; Cramer-Rao bound; Gaussian noise; Lehmann-unbiasedness concept; mean square periodic error; non Bayesian parameter estimation; periodic CRB; periodic unbiasedness; phase estimation; Cost function; Manifolds; Maximum likelihood estimation; Phase estimation; Signal to noise ratio; Cramér-Rao bound; Cramer-Rao bound; Fisher information matrix; Lehmann unbiasedness; Non-Bayesian parameter estimation; periodic unbiasedness;
Conference_Titel :
Acoustics, Speech and Signal Processing (ICASSP), 2011 IEEE International Conference on
Conference_Location :
Prague
Print_ISBN :
978-1-4577-0538-0
Electronic_ISBN :
1520-6149
DOI :
10.1109/ICASSP.2011.5946979