Channel estimation is a challenging task, especially in high mobility applications due to the rapid variation of the propagation\r\nenvironment. This paper presents a new technique that exploits past channel impulse responses (CIRs) in order to trace and\r\ncompensate Doppler frequency in mobile applications, enabling robust estimation of time-varying channel. Based on the fact\r\nthat channel taps at different time instants can be fitted with a sinusoidal wave, a joint estimator is proposed to estimate the\r\nchannel parameters. Therefore, the efficiency of the channel estimation can be improved and stringent delay requirements for\r\nthe communication systems can also be satisfied. Simulation results show that system performance in terms of bit error rate (BER)\r\nis significantly improved with the proposed algorithm.
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