| 利用神经网络建立GPS网络RTK的双差对流层误差模型 |
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| 引用本文： | 陈远鸿,邱蕾,冯玉钊.利用神经网络建立GPS网络RTK的双差对流层误差模型[J].大地测量与地球动力学,2011,31(6):128-131. |
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| 作者姓名： | 陈远鸿 邱蕾 冯玉钊 |
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| 作者单位： | 1)深圳市勘察研究院有限公司, 深圳 518026;2)深圳市地籍测绘大队,深圳 518000 |
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| 摘 要： | 为减小对流层误差改正数中系统偏差的影响以提高对流层改正精度,提出了基于神经网络的顾及空间的对流层误差建模模型，该模型的对流层延迟误差改正在网内外精度均达5 cm。
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| 关 键 词： | GPS 网络RTK 对流层误差 神经网络 高程差异 |
A TROPOSPHERIC DELAY MODEL FOR GPS NET RTK ESTABLISHED BY USE OF ARTIFICIAL NEURAL NETWORK |
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| Chen Yuanhong,Qiu Lei,Feng Yuzhao.A TROPOSPHERIC DELAY MODEL FOR GPS NET RTK ESTABLISHED BY USE OF ARTIFICIAL NEURAL NETWORK[J].Journal of Geodesy and Geodynamics,2011,31(6):128-131. |
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| Authors: | Chen Yuanhong Qiu Lei Feng Yuzhao |
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| Institution: | 1)Shenzhen Investigation & Research Institute Co., Ltd., Shenzhen 518026;2)Shenzhen Cadastral Surveying and Mapping Office，Shenzhen 518034 |
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| Abstract: | In the Virtual Reference Station (VRS) technology, atmospheric refraction error is the main factor affecting the accuracy of the long distance RTK.However, the elevation difference between the reference plane and the roving station will cause the deviation of tropospheric error in the system and then the accuracy of troposphere correction will be lowered.A new tropospheric error model based on neural network, taking into account the space troposphere error, is presented. The accuracy of tropospheric delay model is within 5 cm, in spite of interpolation points in the network or out of network. |
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| Keywords: | GPS network RTK tropospheric error neural network elevation difference |
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