LONG BASELINE NETWORK RTK AMBIGUITY RESOLUTION USE OF
IONOSPHEREWEIGHTED MODEL
School of Computer and Information Engineering，Xiamen University of Technology，Xiamen 361024
Abstract Ambiguity resolution based on conventional ionosphereweighted model usually needs prior information about ionoshperic delay.A new ambiguity resolution for network RTK based on improved ionosphereweighted model is proposed for the situation without prior information.Firstly，the ionospheric pseudoobservations and stochastic model are constructed through carriersmoothed code.Then，the Kalman filter mode based on ionosphereweighted function is established.at last，the adaptive Kalman filter algorithm is introduced，so as to adjust parameters evaluation tolerance caused by model inaccuracy.Experiment shows that this new method possesses fast convergence and well stability.It is suitable to longrange network RTK，particularly to the satellites with 20°or more elevation angle.
Key words ：
ionosphere-weighted model
ambiguity resolution
network RTK
long baseline
Kalman filter
Received: 21 May 2013
Published: 21 April 2014
Cite this article:
Deng Jian,Hong Zhuozhong. LONG BASELINE NETWORK RTK AMBIGUITY RESOLUTION USE OF
IONOSPHEREWEIGHTED MODEL[J]. jgg, 2014, 34(2): 64-68.
Deng Jian,Hong Zhuozhong. LONG BASELINE NETWORK RTK AMBIGUITY RESOLUTION USE OF
IONOSPHEREWEIGHTED MODEL[J]. jgg, 2014, 34(2): 64-68.
URL:
http://www.jgg09.com/EN/ OR http://www.jgg09.com/EN/Y2014/V34/I2/64
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