一种用于OFDM中不规则LDPC码的高效自适应归一化最小和解码器

Amir Atashbar-Tehrani, S. Ghazi-Maghrebi
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引用次数: 0

摘要

针对OFDM系统中不规则低密度奇偶校验码,提出了一种基于自适应归一化最小和算法和联合解码算法的解码算法。该算法改变了归一化最小和算法的更新规则,提高了算法的性能。另外,在解码算法中,不再将水平和垂直处理阶段分开,而是将垂直阶段与水平阶段合并。该解码器提高了瀑布区和错误层区的性能。该算法的收敛速度大大加快。因此,所提出的解码器能够在更少的迭代中收敛到其最终误码率。
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A New Efficient Adaptive Normalized Min-Sum Decoder for Irregular LDPC Codes in OFDM
In this letter a new decoding algorithm based on the adaptive normalized min-sum algorithm and the joint decoding algorithm is proposed for irregular low density parity check codes in OFDM system. The new proposed algorithm changes the update rule of the normalized min-sum algorithm to improve its performance. Also, instead of having separate horizontal and vertical processing phases in decoding algorithm, the vertical phase is merged with the horizontal phase. The proposed decoder improves the performance in waterfall and error floor regions. The convergence speed of the proposed algorithm is much faster. Therefore, the proposed decoder is able to converge to its final bit error rate in fewer iterations.
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