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An Improved Low Complex Offset Min-Sum Based Decoding Algorithm for LDPC Codes

机译：一种改进的低复杂度偏移最小和的LDPC码译码算法

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摘要

In recent times, many advanced wireless communication systems have adopted channel coding schemes to ease secure transmission and reception of wireless data over noisy perturbed channel conditions. Channel coding approaches using low-density parity-check (LDPC) codes are most interesting and fastest growing research areas in the domain of wireless communications. Due to its widespread popularity, adaptability and parallelism for cost-effective hardware implementations, LDPC codes are widely endorsed in a number of wireless communication standards. Over the years, many low complex decoding algorithms using LDPC codes were introduced to improve the data reliability of many wireless applications. This work introduces an efficient and robust offset min-sum decoding scheme for optimal decoding of LDPC codes. This improved approach introduces a new offset correction factor to suppress the error propagation during the approximation of high precision soft values within the given range boundary of signal strength-to-background noise ratio (SNR). The experimental results illustrate the competitive advantage of the proposed algorithm over several popular algorithms in terms of error rate performance, complexity reductions and convergence speed.
机译：近年来，许多先进的无线通信系统已采用信道编码方案，以简化在嘈杂的受干扰信道条件下无线数据的安全传输和接收。在无线通信领域中，使用低密度奇偶校验（LDPC）码的信道编码方法是最有趣且增长最快的研究领域。由于其在低成本硬件实现中的广泛普及，适应性和并行性，LDPC码已在许多无线通信标准中得到广泛认可。多年来，为了提高许多无线应用程序的数据可靠性，引入了许多使用LDPC码的低复杂度解码算法。这项工作介绍了一种有效且鲁棒的偏移最小和解码方案，用于LDPC码的最佳解码。这种改进的方法引入了一种新的偏移校正因子，以抑制在信号强度与背景噪声比（SNR）的给定范围边界内逼近高精度软值时的误差传播。实验结果说明了该算法在误码率性能，复杂度降低和收敛速度方面优于几种流行算法的竞争优势。

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