| 利用在线向量机和Unscented Kalman滤波进行降水序列滤波研究 |
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| 引用本文： | 沈军,杨敏华,钟荣华,马慧云.利用在线向量机和Unscented Kalman滤波进行降水序列滤波研究[J].武汉大学学报(信息科学版),2011(2):222-225,230. |
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| 作者姓名： | 沈军 杨敏华 钟荣华 马慧云 |
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| 作者单位： | 中南大学信息物理工程学院;湖南省益阳市气象局; |
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| 基金项目： | 国家自然科学基金资助项目(30570279,40874005);国家自然科学基金青年科学基金资助项目(40901171); 武汉大学测绘遥感信息工程国家重点实验室开放研究基金资助项目(WKL(070102)) |
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| 摘 要： | 针对短周期降水序列模型估计困难、滤波误差不确定问题提出了在线向量机与Unscented Kalman滤波相结合的降水时间序列预测与滤波方法。从理论推导到真实数据的实验以及详细的误差分析证明了本方法对短周期降水序列滤波有较好的合理性和有效性。相比传统Kalman滤波方法和向量机滤波方法,该方法有更好的滤波性能和实用性。
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| 关 键 词： | 在线向量机 混沌序列 Unscented Kalman滤波 气象自动站 |
Precipitation Series Filter Based on Online SVM and Unscented Kalman Filter |
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| SHEN Jun, YANG Minhua ZHONG Ronghua MA Huiyun.Precipitation Series Filter Based on Online SVM and Unscented Kalman Filter[J].Geomatics and Information Science of Wuhan University,2011(2):222-225,230. |
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| Authors: | SHEN Jun YANG Minhua ZHONG Ronghua MA Huiyun |
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| Institution: | SHEN Jun1,2 YANG Minhua1 ZHONG Ronghua2 MA Huiyun1(1 School of Info-Physics and Geomatics Engineering,Central South University,South Lushan Road,Changsha 410083,China)(2 Meteorological Bureau of Yiyang,West Xiufeng Road,Yiyang 413000,China) |
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| Abstract: | In order to filter the series,the traditional algorithms require an explicit system model which is a difficult problem in nonlinear-system.We present an effective method based on the online support vector machine and Unscented Kalman filter method to filter a precipitation series.The experimental results show that our proposed method is more efficient to get accurate result than the traditional Kalman filter method and the support vector machine method. |
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| Keywords: | online SVM chaos time serial Unscented Kalman filter auto weather station |
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