球体检测与LDPC译码相结合的性能分析

Xiao Peng, Satoshi Goto
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引用次数: 2

摘要

本文研究了多输入多输出(MIMO)系统的低密度奇偶校验(LDPC)译码算法和检测方法。对于LDPC码,讨论了最小和译码算法和分层译码算法;对于MIMO检测,主要分析了基于球面译码算法的最大似然判决。同时给出了信道编码和空时编码结合使用的性能。在LDPC编码系统中,将对数似然比(LLR)从LDPC解码器传播到MIMO检测器,然后再反馈,提高了解码效率。
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Performance analysis of sphere detection combined with the LDPC decoding
In this paper, we investigate the low density parity-check (LDPC) decoding algorithms and the detection methods of the multiple-input multiple-output (MIMO) systems. For LDPC codes, min-sum and layered decoding algorithms are discussed, and for MIMO detection, the maximum likelihood (ML) decision based on the sphere decoding algorithm is mainly analyzed. Also, the performance of the combination of the channel coding and space time coding is presented, which use the preceding methods respectively. In this LDPC coded system, the log-likelihood ratio (LLR) is propagated from LDPC decoder to the MIMO detector and then fed back, which would increase the decoding efficiency.
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