Joint estimation of the space-time distributed signal parameters

Understanding of wireless channel characteristics is important to be able to use the base-station smart antenna technology. Most channel parameter estimation algorithms that have been proposed, however, assume that incoming signal is generated by a point source, and some algorithms that consider distributed sources are limited to the space distribution. We propose an algorithm based on the maximum likelihood (ML) principle for the channel parameter estimation, and on the Neyman-pearson decision rule for deciding number of multipaths. The proposed algorithm is applied to field measurement data collected in three different type of urban areas, and we get some qualitative understanding for the effect of a high-rise building nearby a base station, the effect of a straight-lined road, and the effect of buildings surrounding a mobile