Mobile Localization for NLOS Propagation

Non-line-of-sight and multipath propagation conditions pose significant problems for most mobile terminal positioning approaches. In contrast, power delay profile fingerprinting (PDP-F) thrives on multipath propagation. This multipath extension of T(D)oA is based on matching an estimated power delay profile from one or several base stations (BSs) (or other transmitters (broadcast, ...)) with a memorized power delay profile map for a given cell. It is obvious that the overall location accuracy depends strongly of the quality of the PDP estimation. We propose exploiting the prior knowledge on the received signal structure to enhance the PDP estimation and increase the localization accuracy. Depending on the propagation environment, we propose a deterministic and Bayesian framework for PDP estimation. And, we investigate the application to fingerprinting based mobile localization.