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A factor graph approach to iterative channel estimation and LDPC decoding over fading channels

机译:衰落信道上迭代信道估计和LDPC解码的因子图方法

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摘要

This letter provides a comparative study of joint channel estimation and low-density parity-check decoding algorithms for flat Rayleigh fading channels based on the receiver factor graphs. Two approaches for joint channel estimation and decoding are proposed. Intensive simulation studies are carried out to evaluate the receiver sensitivity to the choice of the factor graph. Results show that when channel statistical information is not available at the receiver, a low-pass filtering approach gives a more robust and simpler solution, and it is only 0.5 dB worse than the optimum Wiener filtering. All methods have about 2 dB improvements over the noniterative receivers.
机译:这封信对基于接收器因子图的平面瑞利衰落信道的联合信道估计和低密度奇偶校验解码算法进行了比较研究。提出了两种联合信道估计和解码的方法。进行了密集的仿真研究,以评估接收器对因子图选择的敏感性。结果表明,当接收机处没有信道统计信息时,低通滤波方法将提供更健壮和更简单的解决方案,并且比最佳维纳滤波仅差0.5 dB。与非迭代接收器相比,所有方法都有大约2 dB的改进。

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