基于遗传优化与矢量拟合的滤波器参数提取  

Parameter Extraction of Filters Based on the Genetic Optimization and Vector Fitting

作　　者：蒋廷利 李静 魏强[3] 

机构地区：[1]重庆邮电大学光电学院,重庆400065 [2]重庆鹰谷光电有限公司,重庆400060 [3]中国电子科技集团公司第二十六研究所,重庆400060

出　　处：《压电与声光》2015年第4期701-706,共6页Piezoelectrics & Acoustooptics

摘　　要：针对传统参数提取方法不适用于有耗滤波器或提取极点不精确,且移除相移复杂或限制条件太多的问题,该文首先通过遗传算法对待处理数据进行优化,提取出由端口高阶模和传输线引入的相位加载,根据采样数据与理论数据的关系移除相移;然后对Y参数矢量拟合推导出耦合矩阵,从而实现参数提取。最后结合五阶梳状滤波器和四阶交叉耦合滤波器的设计来验证该方法的正确性。The traditional parameter extraction method is not applicable to the lossy filter or cannot extract the accurate poles,also,phase-loading removing is complex or has too many constraints. Aiming at these problems, the data was firstly optimized by genetic algorithm and the phase loading caused by high-order mode and transmission line at two ports was extracted, then the phase loading was removed according to the relationship between sample da- ta and theoretical data. After that,the coupling matrix by the vector fitting method of Y parameters was deduced to extract the parameter. At last, the correctness and utility of the method was verified with the design of fifth-order comb filter and fourth-order cross coupling filter.

关 键 词：遗传算法 相位加载 Y参数 矢量拟合 耦合矩阵 

分 类 号：TN919[电子电信—通信与信息系统] TN401[电子电信—信息与通信工程]