A novel channel estimation technique of MIMO-OFDM system based on Extended Kalman filter

In this paper, we have presented novel channel estimation technique of MIMO-OFDM system based on Extended Kalman filter. The proposed channel estimation method improves the bit error rate performance compare to conventional channel estimation method. We have also compared the proposed method with the conventional method. We have compared the Extended Kalman filter (EKF) method with the first order Kalman filter (FOK) and second order Kalman (SOK) filter method. We have evaluated channel effect with respect to QPSK modulation technique and Rayleigh channel. Theoretical analysis and simulation results shows that the proposed channel estimation and tracking method based on extended Kalman filter offer the excellent improvement in bit error rate compare to conventional channel estimation method. We have achieved lowest bit error rate in the proposed extended Kalman filter (EKF) method compare to first order Kalman (FOK) filter and second order Kalman filter (SOK) method.