基于因子图协同定位辅助的单星定位方法

Cooperation factor map of co-location aided single satellite navigation algorithm

在诸如行星探测,战争损毁等导航星座拒止环境下,单星定位系统可以快速部署为目标提供定位支持,但单星定位系统较大的定轨误差导致定位误差较大。针对上述问题,提出了一种基于因子图协同定位辅助的单星定位方法。首先,通过多组卫星不同时刻的伪距差值构建定位双曲面为定位目标提供连续定位并减小卫星和接收机钟差的影响;其次,利用多个定位目标之间的高精度测距信息建立协作因子图,并利用该协作因子图辅助单星定位系统的定位结果,从而提高定位精度。将所提出的单星定位方法与现有的多普勒单星定位方法和径向加速度单星定位方法从卫星定轨误差、测距误差和定位误差3方面进行对比。仿真结果表明,所提出方法的定位误差仅为其他两种方法的1%~10%。

When the satellite navigation system is in area denial due to the satellite is damaged in war or the planetary exploration without the satellite navigation system,the single satellite navigation system can be quickly deployed to provide positioning support for the target.However the large orbit error of the single satellite navigation system leads to large positioning error.In order to solve this problem,a cooperation factor map of colocation aided single satellite navigation algorithm is proposed.The algorithm utilizes the pseudo range differences between the different satellite pseudo ranges in different time to construct two positioning hyperbolic planes and combines the altitude of the target to achieve target continuous position.The pseudo range differences can solve the clock error of satellite and receiver.Then,the algorithm utilizes the high precision distance information between multiple targets to establish the cooperation factor map and utilizes it to revise the position of targets.The proposed algorithm is compared with the existing Doppler aided single satellite navigation algorithm and the radial acceleration single satellite navigation algorithm from three aspects of satellite orbit determination error,ranging error and positioning error.The simulation results show that the position error of the proposed algorithm is about 1%~10% of the other single satellite navigation algorithms.