Time Domain Pilot-Based Channel Estimation (TDPCE) Using Kalman Filtering for OFDM System

Abstract

Abstract This work involves using the OFDM technique with the Time domain pilot-based channel estimation (TDPCE) to mitigate the effects of severe channel conditions such as fast and selective fading Raleigh channel with maximum Doppler shift equal to (120 Hz). The propose method has good robust performance, as compared to frequency domain channel estimation approaches. This method is based on comb pilot and Kalman filtering adaptive algorithm. Three digital modulation techniques including Quadrature Amplitude Modulation QAM 16, 32, and 64 were used in the OFDM transmitter with Rayleigh fading multipath channel. The OFDM performance was evaluated by measuring the bit error rate (BER) and the mean square deviation (MSD). Through simulation results, the (BER) has reached (0.0004, 0.004, and 0.01) when (Eb/No) is equal to (12 dB) using QAM 16, 32, and 64, respectively. Also, the convergence rate has almost reached (50, 50, and 125) iterations for the aforementioned QAM’s. These results can be taken into consideration as acceptable results in this paper compared to other results in the presence of severe conditions, where the value of maximum Doppler shift parameter of Rayleigh multipath fading channel is (120 Hz) or the user is available in a moving position.