| 周期误差自适应分离算法研究 |
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| 引用本文： | 罗鹏,李世平,周云,吕永佳,周秋平.周期误差自适应分离算法研究[J].电子测量技术,2011(9):35-38. |
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| 作者姓名： | 罗鹏 李世平 周云 吕永佳 周秋平 |
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| 作者单位： | 第二炮兵工程学院;重庆城市职业学院; |
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| 摘 要： | 动态测量误差信号通常为多分量的非平稳信号,可能包含非周期性趋势项误差、周期性误差、随机误差等分量,为了更精确的修正误差,需将各误差分量分离出来.主要研究周期性误差的分离,分别使用LMS算法和RLS算法构成神经网络自适应线性元件模型,实现周期性误差成分的分离,通过1个动态测试仿真系统进行验证,得出基于RLS算法的神经网络...
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| 关 键 词： | 动态测量误差 神经网络 自适应线性元件 LMS算法 RLS算法 经验模态分解(EMD) |
Research of algorithm of adaptive separate for periodic error |
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| Luo Peng Li Shiping Zhou Yun Lv Yongjia Zhou Qiuping.Research of algorithm of adaptive separate for periodic error[J].Electronic Measurement Technology,2011(9):35-38. |
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| Authors: | Luo Peng Li Shiping Zhou Yun Lv Yongjia Zhou Qiuping |
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| Affiliation: | Luo Peng1 Li Shiping1 Zhou Yun1 Lv Yongjia1 Zhou Qiuping2(1.The Second Artillery Engineering College,Xi'an 710025,2.Urban Vocational College of Chongqing,Chongqing 402160) |
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| Abstract: | Signals of dynamic measurement error are mainly multi-component unstable signal,which contain the aperiodic trend errors,the periodic ones and the random errors,etc.In order to get a more precise result of correcting the errors,it needs to isolate the errors separately according to components.This article mainly researches on isolating the periodic components,the neural network adaptive linear element model which is composed of LMS algorithm and RLS algorithm are respectively used to decompose the periodic ... |
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| Keywords: | dynamic measurement error neural network adaptive linear element LMS algorithm RLS algorithm empirical mode decomposition |
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