【作者】 桑杰； 杨福鑫； 赵琳； 张洁；

【Author】 Jie Sang;Fuxin Yang;Lin Zhao;Jie Zhang;College of Automation,Harbin Engineering University;

【机构】 哈尔滨工程大学自动化学院；

【摘要】 网络RTK技术在高精度定位领域已得到了广泛应用。在网络RTK技术中,大气误差是影响定位精度主要误差源,基准站网的大气误差改正模型直接影响定位性能。相对于传统双差误差改正模型,采用非差误差改正模型对观测量进行误差修正,避免了由于主参考站改变导致的模糊度重新初始化,提高了定位连续性与实时性。现阶段非差误差改正模型多采用综合误差内插算法,该算法采用单一内插模型计算误差改正数,没有考虑电离层延迟与对流层延迟不同变化规律,不利于解算整周模糊度。因此,本文提出基于区域大气误差改正模型分类内插的网络RTK方法。该方法将非差大气误差中对流层延迟与电离层延迟分别建模。对于对流层延迟,采用线性内插法进行区域建模。对于电离层延迟,采用低阶曲面拟合模型进行区域建模,使非差误差改正数更准确地反映某区域上空大气层变化特性。最后,通过香港CORS网多个测站GPS数据测试。相对于综合误差内插方法,采用改进的区域大气误差改正模型,模糊度固定率提升了4.45%,并且可以实现单历元厘米级定位,验证了区域大气误差改正模型的有效性。更多还原

【Abstract】 Network Real-Time Kinematic positioning(NRTK) is currently the commonly-used techniques in applications of high-accuracy positioning.In NRTK technology,atmospheric delay is the main error source that affects the positioning accuracy,and the atmospheric correction model of station network directly affects the positioning performance.Compared with the traditional double-difference correction model,when using the undifferential correction model for observation,it avoids the reinitialization of ambiguity caused by the change of main reference station and improves the positioning continuity and real-time.However,the combined interpolated bias algorithm is mostly used in undifferential correction model,which only use a single interpolation model to calculate the correction.This method does not take into account the different variation laws of ionospheric delay and tropospheric delay,which is not good for ambiguity resolution.Therefore,a new NRTK method based on regional atmospheric correction model was proposed in this work.The main idea of this method is to divide the atmospheric delay into ionospheric delay and tropospheric delay,and to establish a fitting model respectively.In this method,the ionospheric delay and tropospheric unmodeled delay are estimated as unknown parameters to extract the errors.For tropospheric delay,Linear Interpolation Method(LIM) is adopted for regional modeling.For the ionospheric delay,the low-order Surface Model(LSM) was used for the region modeling.These methods make the undifferential correction more accurately reflect the change characteristics of the atmosphere in local region.In order to validate the performance of our proposed new method,the experiment based on a set of GPS data from Continuously Operating Reference Station(CORS) in Hong Kong.Compared with the combined interpolated bias algorithm,the improved regional atmospheric correction model improves the success rate of ambiguity resolution by 4.45%,and can realize centimeters-level positioning in single epoch,which verifies the effectiveness of the regional atmospheric correction model.更多还原