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模型参考自适应IIR递归滤波器辨识新算法
引用本文:刘福才,高雪,吴士昌. 模型参考自适应IIR递归滤波器辨识新算法[J]. 计算机工程与设计, 2008, 29(12)
作者姓名:刘福才  高雪  吴士昌
作者单位:燕山大学,电气工程学院,河北,秦皇岛,066004
摘    要:针对自适应IIR滤波器算法容易陷入局部极小点的缺陷,提出了一种新的自适应递归滤波辨识算法.该算法采用模型参考自适应系统设计了辨识参数自适应律,基于Lyapunov理论保证了自适应递归算法的稳定性,而且辨识参数收敛.仿真结果表明了该算法的可行性和滤波器结构的正确性.

关 键 词:自适应IIR滤波器  自适应递归滤波辨识算法  模型参考自适应系统  Lyapunov理论  参数自适应律  收敛

Model reference adaptive IIR recursive filters identification algorithm
LIU Fu-cai,GAO Xue,WU Shi-chang. Model reference adaptive IIR recursive filters identification algorithm[J]. Computer Engineering and Design, 2008, 29(12)
Authors:LIU Fu-cai  GAO Xue  WU Shi-chang
Affiliation:LIU Fu-cai,GAO Xue,WU Shi-chang(College of Electrical Engineering,Yanshan University,Qinhuangdao 066004,China)
Abstract:Adaptive IIR filtering suffers from potential instability and converges to a local minimum of the objective function.According to these problems,on the basis of model reference adaptive system,a new adaptive recursive filters identification algorithm is proposed.Based on the Lyapunov theory,this algorithm is stable and parameters are convergent.Simulations that confirm the utility of the new algorithm are included.
Keywords:adaptive IIR filter  adaptive recursive filters identification algorithm  model reference adaptive system  Lyapunov theory  parameters adaptive law  convergence  
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