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MLKF谱估计在地基噪声特性分析中的应用
引用本文:姜岩松,王毅,苏宝库. MLKF谱估计在地基噪声特性分析中的应用[J]. 电机与控制学报, 2011, 15(2): 100-104
作者姓名:姜岩松  王毅  苏宝库
作者单位:哈尔滨工业大学空间控制与惯性技术研究中心,黑龙江,哈尔滨,150001
基金项目:总装备部"十一五"惯性技术预研项目
摘    要:在测试高精度惯性元件时,为了精确地分析地基干扰的噪声特性,针对某实验室地基的振动试验,建立了含有白噪声、指数相关噪声、趋势项、随机游走和地基固有频率的噪声模型,依据极大似然和Kalman滤波理论,推导了一种通过迭代算法调整被估计参数直至收敛的谱估计方法(MLKF).通过仿真算例,验证了该方法的可辨识性和快速逼近性.从具...

关 键 词:极大似然  Kalman滤波  谱估计  地基振动  噪声特性

Application on ground noise analysis by MLKF spectral estimation
JIANG Yan-song,WANG Yi,SU Bao-ku. Application on ground noise analysis by MLKF spectral estimation[J]. Electric Machines and Control, 2011, 15(2): 100-104
Authors:JIANG Yan-song  WANG Yi  SU Bao-ku
Affiliation:JIANG Yan-song,WANG Yi,SU Bao-ku(Space Control and Inertial Technology Research Center,Harbin Institute of Technology,Harbin 150001,China)
Abstract:The influence of ground could not be ignored when testing.In order to analyze the precisely,a model consisting of white noise,exponentially correlated noise,trend random walk and was established.Furthermore,an iterative method maximum likelihood and Kalman filter(MLKF) was deduced based on maximum likelihood and kalman filter.The identifiability and fast approximability of this method were verified through simulation.Comparing the test data with FFT,the result shows that MLKF can identify all model coeffici...
Keywords:maximum likelihood  Kalman filter  spectral estimation  ground vibration  noise characteristic  
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