TY - GEN
T1 - DFT-Based Channel Estimation with Iterative Denoising for OFDM-IM System
AU - Liu, Zhi
AU - Yao, Rugui
AU - Zhu, Yongjia
AU - Fan, Ye
AU - Zuo, Xiaoya
N1 - Publisher Copyright:
© 2023 IEEE.
PY - 2023
Y1 - 2023
N2 - In this paper, we propose an improved iterative denoising channel estimation algorithm based on the conventional discrete Fourier transform (DFT) algorithm. The improved algorithm constantly iterates to find the useful taps of channels within the cyclic prefix (CP) and eliminates the noise within the CP. We apply this novel algorithm to orthogonal frequency division multiplexing with index modulation (OFDM-IM) system. Furthermore, the performance of bit error rate (BER) and mean square error (MSE) in the OFDM-IM system using this novel algorithm is theoretically analyzed under the condition of known channel estimation error. In the meanwhile, the performance of MSE and BER in the OFDM-IM system are simulated and compared with the conventional DFT algorithm. The simulation results have shown that the theoretical analysis is in good agreement with the simulation results at high signal-to-noise ratio and the BER and MSE of the proposed algorithm are significantly better than the conventional DFT algorithm.
AB - In this paper, we propose an improved iterative denoising channel estimation algorithm based on the conventional discrete Fourier transform (DFT) algorithm. The improved algorithm constantly iterates to find the useful taps of channels within the cyclic prefix (CP) and eliminates the noise within the CP. We apply this novel algorithm to orthogonal frequency division multiplexing with index modulation (OFDM-IM) system. Furthermore, the performance of bit error rate (BER) and mean square error (MSE) in the OFDM-IM system using this novel algorithm is theoretically analyzed under the condition of known channel estimation error. In the meanwhile, the performance of MSE and BER in the OFDM-IM system are simulated and compared with the conventional DFT algorithm. The simulation results have shown that the theoretical analysis is in good agreement with the simulation results at high signal-to-noise ratio and the BER and MSE of the proposed algorithm are significantly better than the conventional DFT algorithm.
KW - bit error rate (BER)
KW - channel estimation
KW - discrete Fourier transform (DFT)
KW - mean square error (MSE)
KW - orthogonal frequency division multiplexing with index modulation (OFDM-IM)
UR - http://www.scopus.com/inward/record.url?scp=85173064277&partnerID=8YFLogxK
U2 - 10.1109/ICCC57788.2023.10233638
DO - 10.1109/ICCC57788.2023.10233638
M3 - 会议稿件
AN - SCOPUS:85173064277
T3 - 2023 IEEE/CIC International Conference on Communications in China, ICCC 2023
BT - 2023 IEEE/CIC International Conference on Communications in China, ICCC 2023
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2023 IEEE/CIC International Conference on Communications in China, ICCC 2023
Y2 - 10 August 2023 through 12 August 2023
ER -