| 小波分解与外测数据频带特性在随机误差分离中的应用 |
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| 引用本文： | 黄瑜,孟国明.小波分解与外测数据频带特性在随机误差分离中的应用[J].数字通信,2012,39(3):23-25. |
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| 作者姓名： | 黄瑜 孟国明 |
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| 作者单位： | 1. 91550部队94分队,辽宁 大连,116023
2. 92493部队,辽宁 葫芦岛,125001 |
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| 摘 要： | 提出了依据外测数据频带特性分析小波分解随机误差的分离方法。采用小波分解得到的细节分量逼近外测数据的随机误差,利用随机误差与其他成分之间的频带间隔确定最佳分解层数,重构细节分量直接得到随机误差。该方法简单易用,避免构建模型和间接分离方法引入的间接误差,利用计算机仿真验证了方法的有效性。
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| 关 键 词： | 小波分解 频带特性 随机误差 误差分离 |
Application of Wavelet Analysis and Frequency Bands Character of Trajectory Data in Random Error Separation |
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| HUANG Yu
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MENG Guoming.Application of Wavelet Analysis and Frequency Bands Character of Trajectory Data in Random Error Separation[J].Digital Communication,2012,39(3):23-25. |
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| Authors: | HUANG Yu MENG Guoming |
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| Institution: | 1. PLA Unit 91550, Dalian 116023, P. R. China ; 2. PLA Unit 92493, Huludao 125001 ,P. R. China) |
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| Abstract: | A wavelet analysis method of random error separation based on the frequency character bands of trajectory data is proposed. The authors approximated the random error with the detail components of the wavelet decomposition, determined the decomposing level on the frequency intervals between the random errors and other components, and got the random error by reconstructing all the detail components. The method is simply to be implemented, avoiding the indirect error with modeling and indirect methods, and computer simulation proves the efficiency of the separation results. |
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| Keywords: | wavelet analysis frequency bands character random error error separation |
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