| 噪声环境下直线度误差分离的最小均方误差方法 |
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| 引用本文： | 刘伟,崔为国,刘延斌. 噪声环境下直线度误差分离的最小均方误差方法[J]. 机械科学与技术, 2007, 26(10): 1371-1373,1376 |
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| 作者姓名： | 刘伟 崔为国 刘延斌 |
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| 作者单位： | 河南科技大学机电工程学院,洛阳471003 |
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| 摘 要： | 研究了噪声环境下直线度误差分离的最小均方误差方法。相对于常用的直线度误差分离中的最小二乘方法,最小均方误差解可更好抑制测量噪声对误差分离结果的影响。同时结合最小均方误差解和最小二乘解,本文还给出一种更好抑制噪声影响的最小范数混合解。
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| 关 键 词： | 误差分离 直线度 最小均方误差解 |
| 文章编号： | 1003-8728（2007）10-1371-03 |
| 修稿时间： | 2006-04-09 |
Minimum Mean Squares Error(MMSE) Method for Straightness Error Separation Under Noise Environment |
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| Liu Wei,Cui Weiguo,Liu Yanbin. Minimum Mean Squares Error(MMSE) Method for Straightness Error Separation Under Noise Environment[J]. Mechanical Science and Technology for Aerospace Engineering, 2007, 26(10): 1371-1373,1376 |
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| Authors: | Liu Wei Cui Weiguo Liu Yanbin |
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| Affiliation: | School of Mechatronics, Henan University of Science and Technology, Luoyang 471003 |
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| Abstract: | We point out that the MMSE solution is better than the least squares solution in suppressing the impact of measurement noise on error seperation results. Combining the solutions of MMSE method and least squares method, we present a new hybrid minimum norm solution in frequency domain. Calculation results show that the new solution is better in suppressing the impact of noise on straightness error separation than the least squares method or MMSE method. |
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| Keywords: | error separation straightness minimum mean square error solution(MMSE) |
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