A TROPOSPHERIC DELAY MODEL FOR GPS NET RTK ESTABLISHED BY USE OF ARTIFICIAL NEURAL NETWORK
Chen Yuanhong 1) ;Qiu Lei 2) ; and Feng Yuzhao 2)
1)Shenzhen Investigation & Research Institute Co., Ltd., Shenzhen 518026;2)Shenzhen Cadastral Surveying and Mapping Office，Shenzhen 518034
Abstract In the Virtual Reference Station (VRS) technology, atmospheric refraction error is the main factor affecting the accuracy of the longdistance 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.
Key words ：
GPS
network RTK
tropospheric error
neural network
elevation difference
Received: 01 January 1900
Corresponding Authors:
Chen Yuanhong
Cite this article:
Chen Yuanhong ,Qiu Lei ,and Feng Yuzhao . A TROPOSPHERIC DELAY MODEL FOR GPS NET RTK ESTABLISHED BY USE OF ARTIFICIAL NEURAL NETWORK[J]. , 2011, 31(6): 128-131.
Chen Yuanhong ,Qiu Lei ,and Feng Yuzhao . A TROPOSPHERIC DELAY MODEL FOR GPS NET RTK ESTABLISHED BY USE OF ARTIFICIAL NEURAL NETWORK[J]. jgg, 2011, 31(6): 128-131.
URL:
http://www.jgg09.com/EN/ OR http://www.jgg09.com/EN/Y2011/V31/I6/128
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