 of Von checked with measurement results. Mises distributions. The benefits of this method are due Another implementation of a high-resolution spectral to smoother likelihood function and significantly lower estimation scheme, based on the SAGE algorithm, is dimensionality of the model, leading to lower variance of suggested in [SeKa02a], and is compared with the sub- estimates and reduced computational complexity. space-based ESPRITalgorithm. By applying high-resolution Another approach with the SAGE algorithm is the parameter estimation schemes on time-invariant channels, implementation in the frequency domain, which is more the actual and past channel information is analysed to straightforward with frequency domain measurements. predict the future channel situation. For time-variant sit- An overview of various maximum-likelihood algorithms uations, parameter tracking or parameter estimation takes with different implementation methodologies to estimate the evolutional nature of the radio channel into account. multipath parameters can be found in [TaBN04]. Due to Applied on RTsimulation data, a fading forecast using these the iterative nature of the algorithms, and with the re- different estimation schemes is calculated. A toolbox for quirement of estimating multidimensional multipath pa- spectral analysis and linear prediction of stationary and non- rameters from a vast measurement database, a number of stationary signals is described in [Semm04a]. It includes simplified solutions has been proposed in this paper. The the generation of test signals, the spectral analysis and pa- performance of the proposed algorithms is compared with rameter estimation of the test signals and measurements that of the classical SAGE algorithm. One of the and the linear prediction of the signals. described algorithms is the Hybrid-Space SAGE Polarisation-sensitive antenna arrays at both link ends (HS-SAGE) algorithm, which is a combination of the (mobile station and BS) of a MIMO channel are included element-space and beamspace pr