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Offset and Normalized Min-Sum Algorithms for ATSC 3.0 LDPC Decoder

机译:ATSC 3.0 LDPC解码器的偏移量和归一化最小和算法

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摘要

Offset min-sum algorithm (OMSA) and normalized min-sum algorithm (NMSA) are widely used in commercial LDPC decoders due to low complexity and reasonable performance. In this paper, we provide optimized offset and scaling values for those LDPC decoders based on Advanced Television Systems Committee (ATSC) 3.0 LDPC codes. Furthermore, according to extensive computer simulations, it is shown that the performance of the OMSA and NMSA with the obtained values is close to that of sum-product algorithm, even though the NMSA-based decoder may show a serious error floor due to a channel mismatch effect. Consequently, we recommend that the ATSC 3.0 transmitters use a concatenation of BCH outer code and LDPC inner code as channel coding, considering the use of NMSA for LDPC decoder in ATSC 3.0 receivers.
机译:偏移最小和算法(OMSA)和归一化最小和算法(NMSA)由于低复杂度和合理的性能而广泛用于商用LDPC解码器。在本文中,我们基于高级电视系统委员会(ATSC)3.0 LDPC码为那些LDPC解码器提供了优化的偏移和缩放值。此外,根据广泛的计算机模拟,结果表明,即使基于NMSA的解码器可能由于信道而出现严重的错误底限,但具有所获得值的OMSA和NMSA的性能接近于求和积算法。不匹配的效果。因此,考虑到在ATSC 3.0接收机中将NMSA用于LDPC解码器,我们建议ATSC 3.0发射机使用BCH外码和LDPC内部码的组合作为信道编码。

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