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基于QPSO的自适应均衡算法

Adaptive equalization algorithm based on QPSO

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【作者】 池越刘剑飞陈国鹰武睿

【Author】 CHI Yue,LIU Jian-fei,CHEN Guo-ying,WU Rui(School of Information Engineering,Hebei University of Technology,Tianjin 300401,China)

【机构】 河北工业大学信息工程学院

【摘要】 自适应均衡技术能有效地克服光纤信道的色散和光纤非线性等效应引起的符号间干扰。但传统的自适应均衡算法存在收敛速度慢、稳定性差、均衡效果不理想等缺点,从而使自适应均衡器在高速光纤通信系统中的应用受到限制。提出了一种基于QPSO的自适应均衡算法。仿真实验表明,QPSO具有收敛速度快、计算精度高等优点,将其作为自适应均衡器的控制算法可收到很好的均衡效果,优于传统的控制算法。

【Abstract】 The technology of adaptive equalization can effectively overcome the inter-symbol interference caused by dispersion of optical fiber channel and nonlinearity of optical fiber.But the traditional adaptive equalization algorithm has some disadvantages,such as slow convergence,poor stability and bad equalization result.These disadvantages restrict the application of adaptive equalizer in the high-speed optical fiber communication systems.An adaptive equalization algorithm based on QPSO algorithm is presented.Simulation experiments show that the quantum-behaved particle swarm optimization algorithm(QPSO) has many advantages,such as fast convergence,high calculation accuracy,etc.The equalization result of QPSO algorithm is better than the traditional control algorithm.

【基金】 河北省自然科学基金资助项目(F2008000116)
  • 【文献出处】 河北科技大学学报 ,Journal of Hebei University of Science and Technology , 编辑部邮箱 ,2009年02期
  • 【分类号】TN929.1
  • 【被引频次】5
  • 【下载频次】77
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