基于改进型人工鱼群算法的PMD补偿研究  

PMD compensation study based on improved artificial fish swarm algorithm

作　　者：马广勇[1] 白成林[1,2] 许恒迎[1,2] 

机构地区：[1]聊城大学物理科学与信息工程学院,山东聊城252059 [2]山东省光通信科学与技术重点实验室,山东聊城252059

出　　处：《光通信技术》2013年第4期51-54,共4页Optical Communication Technology

基　　金：国家自然科学基金项目(No.61047033)资助;山东省自然科学基金项目(ZR2010FM043)资助

摘　　要：针对基本人工鱼群算法结构复杂、寻优速度慢和收敛精度低等缺点,提出一种基于生存行为的人工鱼群算法。在单信道速率为100Gb/s光传输系统中,通过二阶偏振模色散CSRZ码自适应补偿实验,结果表明:SVAFSA具有较快的迭代效率,较高的寻优精度和克服局部极值的能力,是一种适于PMD自适应补偿的优秀控制算法。According to complicated structure, slowly searching rate and lowly convergence precision of the basic artificial swarm fish algorithm, artifical fish swarm algorithm based on survival behavior （SVAFSA） is proposed. Second-order PMD CSRZ coding adaptive compensation experiments is performed in the 100Gb/s transmission system. The experimental results show that SVAFSA is an excellent control algorithm for adap- tive PMD compensation which has rapid iterative efficiency, high optimized precision and overcome the local optimum value.

关 键 词：光纤通信 人工鱼群算法 PMD自适应补偿 

分 类 号：TN913.7[电子电信—通信与信息系统]