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Volume 43 Issue 1
Jan.  2021
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Yang YANG, Yong FANG, Bowei SHAN. Low-complexity Joint Channel Estimation and Decoding for LDPC Codes Via Sliding-Window Belief-Propagation over Non-stationary Channels[J]. Journal of Electronics & Information Technology, 2021, 43(1): 68-76. doi: 10.11999/JEIT200406
Citation: Yang YANG, Yong FANG, Bowei SHAN. Low-complexity Joint Channel Estimation and Decoding for LDPC Codes Via Sliding-Window Belief-Propagation over Non-stationary Channels[J]. Journal of Electronics & Information Technology, 2021, 43(1): 68-76. doi: 10.11999/JEIT200406

Low-complexity Joint Channel Estimation and Decoding for LDPC Codes Via Sliding-Window Belief-Propagation over Non-stationary Channels

doi: 10.11999/JEIT200406
Funds:  The Provincial Undergraduate Training Program on Innovation and Entrepreneurship (S202010710404)
  • Received Date: 2020-05-26
  • Rev Recd Date: 2020-09-30
  • Available Online: 2020-10-16
  • Publish Date: 2021-01-15
  • With the continuous increase of possible usage scenarios of mobile networks, non-stationary channels become more and more common transmission environments, and reliable transmission over non-stationary channels relies on accurate channel estimation. Based on the Sliding-Window Belief-Propagation (SWBP) algorithm used to cope with source parameter estimation and source correlation estimation, a Joint Channel Estimation and Decoding (JCED) algorithm for LDPC codes over non-stationary channels is proposed. Two fast algorithms to set adaptively the window size in each JCED iteration are also proposed based on cross entropy and Discrete Fourier Transform (DFT), respectively. Simulation results reveal that, without the aid of pilots, the performance of the proposed algorithm approaches that of Belief-Propagation (BP) decoding under ideal channel estimation, and has the advantages of high efficiency, low complexity, strong robustness and not incurring error-floor.
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