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Intensity reflection coefficient based Min-Sum decoding for Low Density Parity Check Codes

机译:基于强度反射系数的低密度奇偶校验校验代码的MIN-SUM解码

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Low Density Parity Check Codes (LDPC) give groundbreaking performance which is known to approach Shannon's limits for sufficiently large block length. Historically and recently, LDPC have been known to give superior performance than concatenated coding. In the following paper, a proposal to modify the standard Min-Sum (MS) algorithm for decoding LDPC codes is presented. This is done by introduction of a factor, intensity reflection coefficient (IRC) in the check to bit node updating process. Simulation results demonstrate that the proposed algorithms are effective in imparting a better performance in terms of a lower bit error rate (BER) at low to medium signal to noise ratio (SNR) when compared to the traditional MS or Belief Propagation (BP) algorithm while adding a minimum amount of complexity.
机译:低密度奇偶校验校验码(LDPC)提供了突破性的性能,该性能接近Shannon的限制,可以获得足够大的块长度。 历史上最近,已知LDPC的性能优于连接编码。 在下文中,提出了一种修改用于解码LDPC代码的标准MIN-SUM(MS)算法的提议。 这是通过在检查到位节点更新过程中引入因子,强度反射系数(IRC)来完成的。 仿真结果表明,与传统的MS或信仰传播(BP)算法相比,所提出的算法在低至介质信号时,在低至介质信号的较低误码率(BER)方面是有效的。 添加最小复杂度。

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