一种基于阶比域的AR模型盲辨识算法  

New blind identification algorithm for AR model in order domain

作　　者：张新广[1,2] 李志农[1] 王心怡[1] 袁振伟[1] 

机构地区：[1]郑州大学机械工程学院,郑州450001 [2]天津冶金职业技术学院机械工程系,天津300400

出　　处：《振动与冲击》2009年第5期41-43,共3页Journal of Vibration and Shock

基　　金：国家自然科学基金(50775208);河南省自然科学基金;河南省教育厅自然科学基金(2006460005)资助项目

摘　　要：结合阶比分析和现有时序模型盲辨识方法各自的优点,提出了一种基于阶比域的AR模型盲辨识算法。该方法是将时域采样所得的非稳态信号按等角度重采样,从而得到阶域中的稳定信号,对其建立AR模型进行盲辨识。该方法继承了现有的时序模型盲辨识方法的所有优点,同时克服了现有时序模型盲辨识方法在处理非平稳信号的不足。仿真结果表明,该方法是有效的,可很好地处理非平稳信号。Combining the advantages of order analysis and blind identification of time series model,a new blind identification algorithm of AR model in order domain was proposed.The proposed algorithm includes two parts:(1) Preprocessing:the non-stationary signal is resampled with order sampling,i.e.constant angular interval,and transformed into stationary signal in the angular domain.(2) Blind identification:the stationary signal in the angular domain is identified by the blind identification of AR model.The proposed algorithm not only inherits the advantages but also overcomes the deficiency of traditional blind identification of AR model.The simulation result shows that the proposed algorithm is very effective,and can be a powerful tool for processing non-stationary signal.

关 键 词：盲系统辨识 AR模型 阶比采样 非平稳信号 

分 类 号：TP271[自动化与计算机技术—检测技术与自动化装置]