Improved Channel Estimation Method jointing Channel Coding

Abstract

Traditional pilot-based channel estimation techniques are LS-based, MMSE-based and DFT-based mehtods. The LS-based channel estimation performance is worse than MMSE and DFT estimation due to the large noise impact. Although MMSE estimation has superior performance, MMSE estimation is difficult to implement because of matrix inversion during calculation making computational complexity large. In reality, DFT-based channel estimation methods is usually used. The complexity of the DFT channel estimation algorithm is lower than that of the MMSE algorithm, and the performance is better than the LS algorithm. However, the traditional DFT-based channel estimation algorithm only eliminates noise outside the cyclic prefix in the channel impulse response estimation, and the noise within the cyclic prefix is not well suppressed. This paper proposes a joint channel coding technique in order to correct the channel estimation value to achieve better results. The simulation results show that the proposed improved technique outperforms the traditional method.