| 基于LS-SVM的捷联惯组误差系数预测 |
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| 引用本文： | 许萌.基于LS-SVM的捷联惯组误差系数预测[J].科学技术与工程,2009,9(7). |
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| 作者姓名： | 许萌 |
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| 作者单位： | 中国人民解放军63961部队,北京,100012 |
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| 摘 要： | 针对目前小样本容量的捷联惯组误差系数预测精度不高的问题,采用最小二乘支持向量机(LS-SVM)对捷联惯组误差系数进行了预测研究,并以某型捷联惯组的某项陀螺漂移误差系数的历史数据为例进行了预测.结果表明,最小二乘支持向量机具有优秀的小样本数据学习能力和预测能力.
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| 关 键 词： | 捷联惯性测量组合 支持向量机 最小二乘支持向量机 漂移误差系数 预测 |
Predicting the Error Coefficients of SIMU Based on LS-SVM |
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| XU Meng.Predicting the Error Coefficients of SIMU Based on LS-SVM[J].Science Technology and Engineering,2009,9(7). |
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| Authors: | XU Meng |
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| Institution: | Army 63961 of the PLA;Beijing 100012;P.R.China |
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| Abstract: | Considering to the low prediction precision in small sample of the error coefficients of strapdown Inertial Measurement Unit(SIMU),Least Squares Support Vector Machines(LS-SVM) is adopted to predict the error coefficients of the SIMU,and prediction of some gyroscope drift error coefficient of some SIMU is proposed.The simulation indicates that the method presented has excellent learning ability and can provide more accurate data prediction. |
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| Keywords: | strapdown inertial measure unit support vector machines least squares support vector machines drift error coefficients prediction |
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