MIMO Time-Varying Channel Tracking with a Polynomial Channel Model via Particle Filtering

Based on the channel modeling using polynomial, a MIMO time-varying channel tracking algorithm using particle filtering is proposed in this paper. Firstly, a state-space model for MIMO communication system is established, aiming at the non-Gaussian noise from indoor/urban communication environment, and the time-varying channel caused by Doppler frequency shift. Secondly, a polynomial model for MIMO time-varying channel is established, and then the particle filter is used for its tracking. The simulation result shows the validity of this algorithm.