顾及大气延迟误差的中长基线RTK算法

发布时间：2018-09-11 13:20

【摘要】：针对常规RTK作业距离一般不超过15km的问题,提出了一种顾及大气延迟误差的中长基线RTK的算法,突破了常规RTK作业距离。在中长基线情况下,与大气延迟有关的误差如电离层延迟误差、对流层延迟误差等,随着基线长度的增加,空间相关性大大降低,进而影响整周模糊度的快速解算。基于卡尔曼滤波算法,采用非组合差分定位模型,对于电离层延迟误差采用了电离层加权模型进行估计,对于对流层延迟分别采用了相对对流层延迟参数估计和绝对天顶对流层参数估计。最终通过实测数据对该算法进行了算法验证和结果分析。试验结果表明:该算法可以实现中长基线RTK的快速解算,并且在估计相对对流层延迟时,绝对天顶对流层参数估计不利于基准站和流动站的对流层延迟分离,一般采用估计流动站上的相对对流层延迟。
[Abstract]:In order to solve the problem that the operating distance of conventional RTK does not exceed that of 15km, an algorithm of medium-long baseline RTK considering atmospheric delay error is proposed, which breaks through the operating distance of conventional RTK. In the case of medium and long baselines, the errors related to atmospheric delay, such as ionospheric delay error and tropospheric delay error, decrease the spatial correlation with the increase of baseline length, and then affect the fast resolution of whole cycle ambiguity. Based on the Kalman filtering algorithm, the non-combinatorial differential positioning model is used to estimate the ionospheric delay error using the ionospheric weighted model. The relative tropospheric delay parameter estimation and absolute zenith tropospheric parameter estimation are used for tropospheric delay respectively. Finally, the algorithm is verified and the result is analyzed by the measured data. The experimental results show that this algorithm can realize the fast calculation of RTK for medium and long baselines, and when estimating relative tropospheric delay, the estimation of absolute zenith tropospheric parameters is unfavorable to the separation of tropospheric delay between reference station and current station. The relative tropospheric delay at a mobile station is generally estimated.
【作者单位】：辽宁工程技术大学测绘与地理科学学院;中国测绘科学研究院;黑龙江省测绘地理信息局;
【基金】：科技部科技支撑计划项目(2012BAB16B01);科技部863计划项目(2013AA122501,2015AA124001) 国家自然科学基金项目(41304030,41504010) 北斗分析中心(GFZX0301040308-06) 四川测绘地理信息局科技支撑项目(J2014ZC01、J2015ZC01)
【分类号】：P228.4

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