The exchange of information in today’s society requires for developing more pow-erful wireless transmission systems like positioning by global navigation satellite systems and mobile communications. However, the available frequency bands are limited with regard to the high data rates and an increased need for spectral efficiency will occur. Thus, a good understanding of the wireless channel is essen-tial, where propagation paths ’ parameters show a time-variant behavior in terms of assuming a moving receiver. This thesis describes a novel algorithm which is able to both detect individual propagation paths and track how these paths evolve with time. A simulation based on a wireless transmission channel with a moving receiver is given, shows that the algorithm outperforms the standard snapshot-based algorithms in terms of identifying the number of individual paths and estimation accuracy. During the further procedure we assure the algorithm to be even superior to other tracking methods in cognition of individual propagation paths. i i
