Contributions to Measurement-based Dynamic MIMO Channel Modeling and Propagation Parameter Estimatio

Speaker: Jussi Salmi,
Helsinki University of TechnologyAbstract: Measurement-based modeling of wireless MIMO propagation channels provides realistic characterization of the physical layer for MIMO transceiver design and network planning. This talk focuses on modeling and parametric estimation of mobile MIMO radio propagation channels. Measured MIMO channels are modeled using a superposition of double-directional, specular-like propagation paths, and a stochastic process describing the diffuse scattering. A state-space modeling approach employing the Extended Kalman filter (EKF) is introduced for sequential estimation of the propagation path parameters from dynamic channel sounding measurements. Moreover, the models are formulated using tensor notation, and a novel tensor decomposition technique is presented. The proposed Sequential Unfolding SVD (SUSVD), has several applications in array signal processing, including a low rank tensor approximation similar to the one obtained using SVD for matrices.Biography: Jussi Salmi was born in Finland in 1981. He received his M.Sc. degree with honors from Helsinki University of Technology, Dept. of Electrical and Communications Engineering, Espoo, Finland, in 2005, and he is currently finalizing his Ph.D. degree. From 2004 to 2005, he worked as a Research Assistant at Radio Laboratory, Helsinki University of Technology. Since 2005 he has held a Researcher position at Dept. of Signal Processing and Acoustics, Helsinki University of Technology. His current research interests include measurement based MIMO channel modeling, parameter estimation, analysis of interference limited multiuser MIMO measurements as well as tensor modeling and decomposition techniques. He has authored a paper receiving the Best Student Paper Award in (EUSIPCO'06), and co-authored a paper receiving the Best Paper Award in Propagation (EuCAP'06).Host: Andreas Molisch, molisch@usc.edu, EEB 530, x04670

Location: Hughes Aircraft Electrical Engineering Center (EEB) - 248

Audiences: Everyone Is Invited

Contact: Gerrielyn Ramos