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Simplified representation of the LLR messages in the check node processor for NB-LDPC decoder

机译:NB-LDPC解码器的校验节点处理器中LLR消息的简化表示

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Non-Binary Low Density Parity Check Codes (NB-LDPC) are nowadays considered as a potential competitor of both binary LDPC and convolutional Turbo Codes, mainly when codes with short and moderate codeword lengths are used. The decoding process of these codes suffers from a high computational complexity which necessitates a high memory requirements to store the intrinsic and extrinsic Likelihood Ratio (LLR) messages. This paper addresses a simplified and efficient coding technique of the binary words carrying the LLR values by storing the difference of two consecutive LLRs instead of the entire values in the Check Node (CN) processor of NB-LDPC Decoder. A combined approach mixing two techniques: partial truncation and 2-bit coding technique leading to a memory reduction of 38 % is also presented. The Monte Carlo simulation results show that the proposed LLR representation schemes do not introduce a significant performance loss of the code.
机译:如今,非二进制低密度奇偶校验码(NB-LDPC)被认为是二进制LDPC和卷积Turbo码的潜在竞争者,主要是在使用短码字长度和中等码字长度的代码时。这些代码的解码过程遭受很高的计算复杂度,这需要很高的存储要求来存储内在和外在似然比(LLR)消息。本文通过将两个连续LLR的差值而不是整个值存储在NB-LDPC解码器的Check Node(CN)处理器中,解决了携带LLR值的二进制字的一种简化而高效的编码技术。还提出了一种结合了两种技术的组合方法:部分截断和2位编码技术,导致内存减少了38%。蒙特卡罗仿真结果表明,所提出的LLR表示方案不会导致代码的显着性能损失。

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