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。
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 algo- rithm 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.
出处
《河北科技大学学报》
CAS
北大核心
2009年第2期116-119,共4页
Journal of Hebei University of Science and Technology
基金
河北省自然科学基金资助项目(F2008000116)
关键词
光纤通信
自适应均衡
自适应算法
量子粒子群优化算法
optical fiber communication
adaptive equalization
adaptive algorithm
quantum-behaved particle swarm optimization(QPSO)