Tirza Routtenberg

Senior Academic

Bayesian parameter estimation using periodic cost functions

In this paper, a new method for Bayesian periodic parameter estimation is derived using periodic cost functions. The method, named parameter estimation via root finding (PERF), is based on Fourier series representation of the Bayes periodic-risk functions. The PERF method is implemented for minimum cyclic error, minimum absolute periodic error, and minimum mean-square-periodic-error (MSPE) estimators and the corresponding estimators are derived. The periodic estimators are applied to direction-of-arrival and phase estimation problems and compared with the minimum mean-square-error and maximum a posteriori probability estimators, and the periodic Ziv-Zakai lower bound in terms of MSPE.

Publication language English
Pages 1229-1240
Vol.

60

Issue number 3
Publication status Published - 01.03.2012

Keywords

Bayesian parameter estimation
direction of arrival estimation
mean-square-periodic-error (MSPE)
minimum mean-square-error (MMSE)
parameter estimation via root finding
periodic estimation
periodic Ziv-Zakai lower bound
phase estimation
Access to Document
10.1109/TSP.2011.2173680