惯导辅助下的动态精密单点定位算法研究

精密单点定位中的模糊度不具有整数特性,如何将其准确求解一直是当前研究的热点。且在定位初始阶段,需要经过长时间观测才能使定位精度收敛到厘米、分米级。为解决上述两个问题,可引入惯性导航系统（INS）输出的短时间内高精度的导航信息,以用于辅助模糊度浮点解快速准确地解算。文中分别介绍了直接利用位置信息代入和构建虚拟观测量的两种最小二乘方法,以及这两种方法下INS导航信息精度与模糊度浮点解精度之间的关系。仿真结果表明:惯性信息的辅助作用能够有效地在定位初始阶段提高模糊度解算的效率和精度、缩短收敛时间、改善定位精度。 

Research on Dynamic Precise Point Positioning Algorithm Based on INS Aiding

In Precise Point Positioning, the integer ambiguity does not have integer property, how to solve it accurately has always been a hot topic in recent research. Moreover, in the initial stage,a long time observation should be taken to make the positioning result converge to centimeter to decimeter level. In order to solve this two problems, the short time high accuracy positioning information output from the inertial navigation system can be introduced in ambiguity resolution, making the calculation faster and more accurately. The paper describes two kinds of least square methods, including using INS position information to substitute directly and building the virtual observation. Then, the relationship between INS accuracy and accuracy of ambiguity resolution are also discussed under two methods. The simulation result shows that the INS position aiding can effectively improve the efficiency and accuracy of ambiguity resolution, shorten the convergence time and improve the positioning accuracy.