Recently, low-resolution LDPC decoders have been introduced that perform mutual information maximizing signal processing. However, the optimal quantization in variable and check nodes requires expensive non-uniform operations. Instead, we propose to use uniform quantization with a simple hardware structure, which reduces the complexity of individual node operations approximately by half and shortens the decoding delay significantly. Our analysis shows that the loss of preserved mutual information resulting from restriction to uniform quantization is very small. Furthermore, the error rate simulations with regular LDPC codes confirm that the uniformly quantized decoders cause only minor performance degradation within 0.01 dB compared to the non-uniform alternatives. Due to the complexity reduction, especially the proposed 3-bit decoder is a promising candidate to replace 4-bit conventional decoders.
翻译:最近,引入了低分辨率LDPC解码器,以相互提供信息,最大限度地实现信号处理;然而,变量和检查节点的最佳量化需要昂贵的非统一操作;相反,我们提议使用统一的量化,采用简单的硬件结构,将单个节点操作的复杂程度降低大约一半,并大大缩短解码延迟时间;我们的分析表明,由于限制统一量化而导致的保存的相互信息损失非常小;此外,与常规LDPC编码的误差率模拟证实,统一定量解码器与非统一替代器相比,仅造成0.01 dB的轻微性能退化。由于复杂性的降低,特别是拟议的3位解码器是替代4位常规解码器的有希望的人选。