Improved Channel Estimation Algorithm Based on DFT in UFMC System
Based on the Discrete Fourier Transform in Universal Filtered Multi-Carrier(UFMC)systems,the channel estimation algorithm of DFT has some problems,such as discontinuous noise interval,incomplete noise elimi-nation in channel length and high spectrum leakage after DFT operation.An improved channel estimation algorithm based on DFT is proposed.In the frequency domain,a window is added to reduce the energy leakage of Channel Im-pulse Response(CIR),and in the time domain,the in-sample noise can be filtered to the maximum by setting thresh-olds and exponential smoothing.Theoretical analysis and simulation results show that compared with traditional DFT estimation algorithms,the proposed algorithm has a lower Bit Error Ratio(BER)and a performance improvement of a-bout 1.5 dB under high SNR,which can further reduce the impact of noise on system performance and effectively im-prove the accuracy of channel estimation.
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