Parametric CARMA Model Identification Based on WTLMS Algorithm

摘要：

The wavelet transform domain least mean square (WTLMS) is known to have, in general, a fast convergence rate than the LMS algorithm. However, the previous papers used to identify the parameters of the CMA model with the WTLMS algorithm. In this work, a method of parametric CARMA model identification based on WTLMS algorithm is proposed, and its convergence analyses is also given. The proposed method realizes the parametric identification of CARMA model and improves greatly the precision of identification. The simulation results show the effectiveness of the proposed method.

关键词： wavelet transform system identification LMS algorithm WTLMS algorithm

作者: Zhao Nan-nan Ouyang Xin-yu

作者单位: School of Electronics and Information Engineering, Liaoning University of Science and Technology, Anshan, 114051, China

会议类型: 国际会议

会议名称: 2009年中国控制与决策会议(2009 Chinese Control and Decision Conference)

会议地点: 广西桂林

会议语种:英文

页码: 1169-1172

在线出版日期: 2009-06-17（万方平台首次上网日期，不代表论文的发表时间）