摘要
探讨了一种精度更高的基于卫星定位测量(以GPS-RTK数据为例)数据的深度解算方法。通过分别使用传统伪距法、最小二乘法、星历线性化法、地心地固法等常用GPS定位数据解算方式对个案数据进行深度解算,并比较其最终解算精度。同时探讨了模糊矩阵法、神经元网络法等非刚性解算方法的弊端。最终得到3点结论:1)非刚性解算法在当前技术条件下并不适用于对卫星定位数据进行深度解算。2)考虑了更多可能干扰因素的反算过程的深度解算法,如星历线性化法和地心地固法,其解算精度显著高于未具体考虑可能干扰因素的深度解算法。3)对卫星定位数据进行深度解算,可以有效提升卫星定位用于工程测量的测量精度,具有显著的现实意义。
This paper discusses a more accurate depth calculation method based on GPS-RTK data. By using the traditional pseudo range method, the least square method, the ephemeris linearization method, the geocentric earth fixed method and other commonly used GPS positioning data solution methods, the case data is solved in depth, and the final solution accuracy is compared. At the same time, the disadvantages of fuzzy matrix method and neural network method are discussed. Finally, three conclusions are obtained:(1)The non rigid solution algorithm is not suitable for the depth solution of satellite positioning data under the current technical conditions.(2)The depth solution algorithm considering more possible interference factors, such as ephemeris linearization method and geocentric earth fixation method, which has a significantly higher accuracy than the depth solution algorithm without considering specific possible factors.(3)The depth calculation of satellite positioning data can effectively improve the measurement accuracy of satellite positioning for engineering measurement, which has engineering significance.
作者
张琦
覃连才
ZHANG Qi;QIN Liancai(Ningbo Alatu Digital Technology Co.,Ltd.,Ningbo 315042,China)
出处
《测绘与空间地理信息》
2022年第11期71-74,共4页
Geomatics & Spatial Information Technology
关键词
工程测量
GPS
深度解算
干扰因素
engineering survey
satellite positioning
static data
depth solution
interference factors