Title :
Stochastic Maximum Likelihood Estimation of Angle- and Delay-Domain Propagation Parameters
Author :
Ribeiro, Cassio B. ; Richter, Andreas ; Koivunen, Visa
Author_Institution :
Lab. of Signal Process., Helsinki Univ. of Technol.
Abstract :
In this paper we derive an estimator for both time-delay and angular channel propagation parameters of the diffuse scattering component that is frequently observed in channel sounding measurements. The joint angular-delay model leads to correlation matrix with high dimensionality, which prevents direct implementation of a maximum-likelihood (ML) estimator using finite precision arithmetics and finite memory resources. We derive low complexity methods for computing the ML estimates that exploit the structure of the covariance matrices. The estimator is based on a two step procedure: first, the parameters of the power delay profile are estimated, as well as measurement noise power. Then, using the estimated time-delay parameters, the parameters of the angular distributions are estimated. We present simulation results and compare the estimated time-delay and angular distributions to the actual distributions, showing that high precision estimates are obtained
Keywords :
covariance matrices; electromagnetic wave scattering; maximum likelihood estimation; radiowave propagation; stochastic processes; angle-domain propagation; angular channel propagation; channel sounding; correlation matrix; covariance matrices; delay-domain propagation; scattering component; stochastic maximum likelihood estimation; time-delay; Acoustic propagation; Acoustic scattering; Arithmetic; Covariance matrix; Delay estimation; Maximum likelihood estimation; Power measurement; Propagation delay; Scattering parameters; Stochastic processes;
Conference_Titel :
Personal, Indoor and Mobile Radio Communications, 2005. PIMRC 2005. IEEE 16th International Symposium on
Conference_Location :
Berlin
Print_ISBN :
9.7838007291e+012
DOI :
10.1109/PIMRC.2005.1651511