Channel estimation is an important part in a coherent detection of MIMO system. This paper proposes tracking of fast time varying channel coefficients for a MIMO system using particle filter algorithm. As the system is highly mobile, MIMO channel is fast time-varying, non-linear and non-Gaussian, particle filter is the best candidate to track the swiftly varying channel co-efficient. Even though there exist Kalman filter, the BLUE (Best Linear Unbiased Estimator), it is not suitable for nonlinear and non-Gaussian problems. Moreover Kalman filter variants namely EKF (Extended Kalman Filter) and UKF (Unscented Kalman Filter) are limited to Gaussian noise.
M. M.G., Sudheesh, P., and Dr. Jayakumar M., “Channel Estimation for a high mobility MIMO system using Particle filter”, in International Conference on Recent Trends in Information Technology 2016 (ICRTIT 2016), 2016.