首页> 外文会议>2012 Computing, Communications and Applications Conference >Difference to sum ratio factor based min-sum decoding for Low Density Parity Check Codes
【24h】

Difference to sum ratio factor based min-sum decoding for Low Density Parity Check Codes

机译:低密度奇偶校验码基于差和比的最小和解码

获取原文
获取原文并翻译 | 示例

摘要

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 difference to sum ratio factor, κ in the check to bit node updating process. The algorithm is further extended by implementing hard decision of the Bit-Flipping (BF) algorithm over the soft decision of MS algorithm. Simulation results demonstrate that the proposed algorithms are effective in imparting a better performance in terms of a lower bit error rate (BER) at medium to high signal to noise ratio (SNR) when compared to the traditional MS algorithm while adding fair amount of complexity.
机译:低密度奇偶校验码(LDPC)具有开创性的性能,众所周知,对于足够大的块长度,这种性能接近香农的极限。在历史上和最近,已知LDPC比级联编码具有更好的性能。在以下论文中,提出了修改标准最小和(MS)算法以解码LDPC码的建议。这是通过在校验到位节点更新过程中引入总和之差系数κ来完成的。通过在MS算法的软判决上实现位翻转(BF)算法的硬判决,进一步扩展了该算法。仿真结果表明,与传统的MS算法相比,所提出的算法在中等到较高的信噪比(SNR)时,在较低的误码率(BER)方面有效地提高了性能,同时增加了相当多的复杂性。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号