A Novel Soft-Output Demapper for DOCSIS 3.1

Feng Zheng, Bowen Pang
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Abstract

DOCSIS 3.1, the new international standard for high-speed cable television (CATV), uses Low Density Parity Check (LDPC) code for forward error correction (FEC). It is widely known that accurate soft information is critical to the performance of LDPC decoding, but existing bit log-likelihood ratio (LLR) expression only works well under high code rate. In this paper, an improved bit LLR expression is proposed to compensate the difference between the existing LLR expression under low code rate for Gray coded M-ary quadrature amplitude modulation (QAM). In addition to high accuracy, the improved LLR is simple and efficient to manipulate. Besides LDPC, the improved LLR is also applicable to other codes that require soft information. Simulation results show that the improved LLR expression achieves a significant improvement in performance for both LDPC and Turbo decoding.
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一种新的DOCSIS 3.1软输出Demapper
DOCSIS 3.1是高速有线电视(CATV)的新国际标准,采用低密度奇偶校验(LDPC)码进行前向纠错(FEC)。众所周知,准确的软信息对LDPC译码性能至关重要,但现有的位对数似然比(LLR)表达式仅在高码率下才有效。本文提出了一种改进的位LLR表达式,以弥补现有的灰度编码m正交调幅(QAM)在低码率下LLR表达式的差异。改进后的LLR不仅精度高,而且操作简单,效率高。除了LDPC之外,改进的LLR也适用于其他需要软信息的代码。仿真结果表明,改进后的LLR表达式在LDPC和Turbo解码性能上都有显著提高。
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