| 惯导工具误差分离与折合的支持向量机方法 |
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| 引用本文： | 杨华波,张士峰,蔡洪.惯导工具误差分离与折合的支持向量机方法[J].系统仿真学报,2007,19(10):2177-2179,2182. |
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| 作者姓名： | 杨华波 张士峰 蔡洪 |
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| 作者单位： | 国防科技大学航天与材料工程学院,长沙,410073 |
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| 摘 要： | 制导工具误差分离与折合是导弹精度评定中的重要问题。由于工具误差分离存在着很强的复共线性,传统的最小二乘方法与主成分方法不能很好的解决这一问题。提出了利用支持向量机方法获得工具误差系数估计的思想,并将估计结果应用用到弹道误差折合中,与最小二乘和主成分方法相比,支持向量机获得的误差系数估计与真值更加接近,分离残差较小,折合得到的全程弹道遥外差更加接近于真实值。
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| 关 键 词： | 精度评定 制导工具误差 最小二乘方法 主成分分析 支持向量机 |
| 文章编号： | 1004-731X（2007）10-2177-03 |
| 收稿时间： | 2006-04-12 |
| 修稿时间： | 2006-04-122006-11-20 |
Separation and Conversion for Guidance Instrumentation Systematic Error Using Support Vector Machines Regression |
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| YANG Hua-bo,ZHANG Shi-feng,CAI Hong.Separation and Conversion for Guidance Instrumentation Systematic Error Using Support Vector Machines Regression[J].Journal of System Simulation,2007,19(10):2177-2179,2182. |
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| Authors: | YANG Hua-bo ZHANG Shi-feng CAI Hong |
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| Institution: | College of Aerospace and Material Engineering, National University of Defense Technology, Changsha 410073, China |
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| Abstract: | The separation and conversion of guidance instrumentation systematic error (GISE) play a vital role in the missile precision analysis. Because the separation for GISE is an almost singular regression problem, the classic least square method and principal component method are not satisfactorily for solving the problem. A new method for separating and converting of guidance instrumentation error was proposed which is the support vector machines. The results show that the new method has a higher precision and higher performance than least square method and principal component method. |
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| Keywords: | precision assessment guidance instrumentation error the least squares method principal component analysis support vector machines |
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