采用电离层权重的长距离网络RTK参考站间模糊度解算方法  

LONG BASELINE NETWORK RTK AMBIGUITY RESOLUTION USE OF IONOSPHERE-WEIGHTED MODEL

作　　者：邓健[1] 洪卓众[1] 

机构地区：[1]厦门理工学院计算机与信息工程学院,厦门361024

出　　处：《大地测量与地球动力学》2014年第2期64-68,共5页Journal of Geodesy and Geodynamics

基　　金：国家自然科学基金(41204032);校级高层次人才项目(YKJ12012R)

摘　　要：针对常规电离层权重法解算模糊度需要电离层先验信息的局限性,提出了一种基于改进电离层权重模型的网络RTK参考站间模糊度解算方法。该方法先利用相位平滑伪距构造电离层伪观测量及相应随机模型;再建立基于电离层权重的卡尔曼滤波模型;最后引入自适应卡尔曼滤波算法,调节补偿由于滤波模型不准确对估计参数值造成的偏差。算例分析表明,该方法可适用于长距离网络RTK参考站间模糊度解算,特别对于仰角在20°以上卫星模糊度解算收敛快,稳定性较好。Ambiguity resolution based on conventional ionosphere-weighted model usually needs prior information about ionoshperic delay. A new ambiguity resolution for network RTK based on improved ionosphere-weighted model is proposed for the situation without prior information. Firstly,the ionospheric pseudo-observations and stochastic model are constructed through carrier-smoothed 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 long-range network RTK,particularly to the satellites with 20°or more elevation angle.

关 键 词：电离层权重 模糊度解算 网络RTK 长距离 卡尔曼滤波 

分 类 号：P228.1[天文地球—大地测量学与测量工程]