通信学报 ›› 2016, Vol. 37 ›› Issue (9): 168-174.doi: 10.11959/j.issn.1000-436x.2016188

• 学术通信 • 上一篇    下一篇

混合信道下LDPC码稳定条件分析及度序列优化

孙康宁1,马林华1,2,茹乐1,范文同3,胡星1,黄绍城1   

  1. 1 空军工程大学航空航天工程学院,陕西 西安 710038
    2 西安电子科技大学综合业务网国家重点实验室,陕西 西安 710071
    3 解放军94626部队,福建 福州 350002
  • 出版日期:2016-09-25 发布日期:2016-09-28
  • 基金资助:
    国家自然科学基金资助项目;综合业务网国家重点实验室(西安电子科技大学)开放研究基金资助项目;航空科学基金资助项目

Analysis of stability condition for LDPC codes and optimizing degree sequences over mixed channel

Kang-ning SUN1,Lin-hua MA1,2,Le RU1,Wen-tong FAN3,Xing HU1,Shao-cheng HUANG1   

  1. 1 Aeronautics and Astronautics Engineering College,Air Force Engineering University,Xi'an 710038,China
    2 State Key Laboratory of Integrated Services Networks,Xidian University,Xi'an 710071,China
    3 PLA 94626 Troops,Fuzhou 350002,China
  • Online:2016-09-25 Published:2016-09-28
  • Supported by:
    The National Natural Science Foundation of China;Open Foundation of the State Key Laboratory of Integrated Services Networks,Xidian University;Aviation Science Foundation

摘要:

在高斯噪声和随机删除同时存在的背景下,提出LDPC码度序列的稳定收敛条件,理论证明了高斯信道下阈值较高的度序列不适用于混合信道,并仿真验证了该结论。将随机粒子群算法和模拟退火算法相结合,不同删除概率下寻找到了一些高阈值混合信道的度序列,删除概率为40%时,度序列信噪比阈值最大可提高1.615 9 dB,适用于光记录、伴随窄带阻塞干扰的跳频通信等混合信道环境。

关键词: 低密度奇偶校验码, 混合信道, 高斯近似, 随机粒子群优化, 模拟退火

Abstract:

Under the circumstance that white Gaussian noise and random erasures exist all at once,the stability condition for LDPC codes over mixed channel was proposed.And it was proved that a good degree sequence of LDPC codes was not optimized over mixed channel.It can also be proved by simulation.The random particle swarm optimization (RPSO) and simulated annealing (SA) algorithm were combined to find some capacity-approaching degree sequences over mixed channel with different erasure probabilities.The threshold of signal-to-noise ratio improves 1.615 9 dB than that of the classical degree sequences calculated by Gaussian approximation over mixed channel.These degree sequences are optimal for optical recording and frequency-hopping communication with narrow-band interference.

Key words: low density parity check codes, mixed channel, Gaussian approximation, simulated annealing

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