MIMO Propagation Parameter Tracking using EKF

In this paper we describe the application of extracting the MIMO radio channel propagation parameters from channel sounding measurements using the Extended Kalman Filter. This approach allows to capture the dynamics of the radio propagation channels and enables recursive, computationally low-complexity (compared with traditional iterative maximum likelihood based methods) estimation of the parameters. We also discuss the selection of the state dimension, i.e., the appropriate number of propagation paths to track.