| 基于支持向量机的地基单站GPS反演大气剖面 |
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| 引用本文： | 林乐科,张业荣,赵振维,李建儒. 基于支持向量机的地基单站GPS反演大气剖面[J]. 南京邮电大学学报(自然科学版), 2009, 29(4): 64-68 |
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| 作者姓名： | 林乐科 张业荣 赵振维 李建儒 |
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| 作者单位： | 南京邮电大学,通信与信息工程学院,江苏,南京,210003;中国电波传播研究所,山东,青岛,266107;南京邮电大学,通信与信息工程学院,江苏,南京,210003;中国电波传播研究所,山东,青岛,266107 |
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| 摘 要： | 提出基于支持向量机的地基单站GPS遥感大气剖面的反演方法,主要包括经典支持向量机、最小二乘支持向量机、相关向量机3种方法,利用青岛地区的历史数据进行了仿真反演对比研究,并与神经网络反演方法进行比较,结果表明支持向量机能够有效地应用于地基单站GPS大气遥感领域.
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| 关 键 词： | 大气剖面 地基单站GPS 支持向量机 神经网络 |
Retrieving Atmospheric Profiles Based on Support Vector Machine and Singular Ground-based GPS Receiver |
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| LIN Le-ke,ZHANG Ye-rong,ZHAO Zhen-wei,LI Jian-ru. Retrieving Atmospheric Profiles Based on Support Vector Machine and Singular Ground-based GPS Receiver[J]. JJournal of Nanjing University of Posts and Telecommunications, 2009, 29(4): 64-68 |
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| Authors: | LIN Le-ke ZHANG Ye-rong ZHAO Zhen-wei LI Jian-ru |
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| Affiliation: | LIN Le-ke1,2,ZHANG Ye-rong1,ZHAO Zhen-wei2,LI Jian-ru21.College of Telecommunications & Information Engineering,Nanjing University of Posts , Telecommunications,Nanjing 210003,China2.China Research Institute of Radio Wave Propagation,Qingdao 266107,China |
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| Abstract: | The techniques of retrieving atmospheric profiles are proposed herein based on support vector machine(SVM) and singular ground-based GPS,which include classical SVM,least squares SVM,and relevance vector machine(RVM).The new methods are compared with BP-ANN networks method by simulation based on the historical radiosonde data in Qingdao,showing that the methods based on SVM can be applied to surface-based microwave atmospheric remote sensing effectively. |
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| Keywords: | atmospheric profile singular ground-based GPS support vector machine neural neetwork |
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