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Code-Aided Channel Estimation in LDPC-Coded MIMO Systems

  • Binghui Shi
  • , Yongpeng Wu*
  • , Peihong Yuan
  • , Derrick Wing Kwan Ng
  • , Xiang Gen Xia
  • , Wenjun Zhang
  • *此作品的通讯作者
  • Shanghai Jiao Tong University
  • Massachusetts Institute of Technology
  • University of New South Wales
  • University of Delaware

科研成果: 期刊稿件文章同行评审

摘要

For a multiple-input multiple-output (MIMO) system with unknown channel state information (CSI), a novel low-density parity check (LDPC)-coded transmission (LCT) scheme with joint pilot and data channel estimation is proposed. To fine-tune the CSI, a method based on the constraints introduced by the coded data from an LDPC code is designed such that the MIMO detector exploits the fine-tuned CSI. For reducing the computational burden, a coordinate ascent algorithm is employed along with several approximation methods, effectively reducing the required times of MIMO detection and computational complexity to achieve a satisfying performance. Simulation results utilizing WiMAX standard LDPC codes and quadrature phase-shift keying (QPSK) modulation demonstrate gains of up to 1.3 dB at a frame error rate (FER) of 10-4 compared to pilot-assisted transmission (PAT) over Rayleigh block-fading channels.

源语言英语
页(从-至)491-495
页数5
期刊IEEE Wireless Communications Letters
13
2
DOI
出版状态已出版 - 1 2月 2024
已对外发布

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