@inproceedings{4bae7444134547488039b9e7f94f0c88,
title = "Code-Aided Blind Iterative Channel Estimation for OFDM Systems",
abstract = "In this paper, we propose a novel blind iterative channel estimation algorithm for the Orthogonal frequency division multiplexing (OFDM) communication system, where pilot symbols for estimating multipath channel are no longer needed. Since channel coding can introduce sufficient coding gain to enhance the robustness of communication systems, we iteratively feed the hard-decision bit information output by Low-density parity-check (LDPC) decoder back to the channel estimator to improve parameter estimation accuracy. Furthermore, we apply a denoising algorithm based on the discrete Fourier transform (DFT) method to deal with the estimation result of the least square (LS) algorithm, which further optimizes the performance of the estimator. Simulation results verify that the bit error rate (BER) performance of our proposed blind iterative channel estimation method is about 8 dB better than that of the conventional pilot-assisted LS estimation method when BER is 10-6.",
keywords = "Low-density parity-check (LDPC), OFDM, blind estimation, channel estimation, discrete Fourier transforms (DFT), least square (LS)",
author = "Jiaxuan Li and Xuhui Ding and Yue Zhang and Jizhuang Hou and Zhiru Ma and Jiawen Chen and Qian Li",
note = "Publisher Copyright: {\textcopyright} 2021 IEEE.; 7th International Conference on Computer and Communications, ICCC 2021 ; Conference date: 10-12-2021 Through 13-12-2021",
year = "2021",
doi = "10.1109/ICCC54389.2021.9674615",
language = "English",
series = "2021 7th International Conference on Computer and Communications, ICCC 2021",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "262--266",
booktitle = "2021 7th International Conference on Computer and Communications, ICCC 2021",
address = "United States",
}