Inter-satellite Real-time Relative Positioning Method Based on Augmented
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摘要: 虽然基于卫星轨道动力学模型的增强型GPS实时星间相对定位可获得厘米级精度, 但通常在一般条件下难以获取高精度轨道动力学模型. 本文提出了一种无轨道动力学模型条件下的高精度实时相对定位方法, 即利用GPS三差观测方程获得状态矢量的时间转移矩阵, 采用自适应UKF (Unsented Kalman Filter, 无迹卡尔曼滤波器)实时估计星间相对位置. 仿真结果表明, 相比传统的序贯点估计方法分米级的相对定位精度, 新方法在星间距离小于5 km时, 其相对定位精度可达厘米量级.Abstract: The real-time inter-satellite relative positioning method based on augmented GPS can achieve the level of centimeter in case of having the orbit dynamic model. In view of its difficulty of full-filing the high-precision requirement of orbit dynamic model currently, this paper proposes a new high-precision real-time relative positioning method which uses tripe-difference functions of GPS to get the time transform matrix of state vector, then uses UKF (Unsented Kalman Filter) to estimate the inter-satellite real-time relative positions. Simulation results show that comparing the precision of decimeter level of the relative positioning using the usual sequent point estimation method, the new method can achieve the relative positioning precision of centimeter level when the inter-satellite distance is less than five kilometers.
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Key words:
- Real-time /
- Triple-different /
- Adaptive UKF /
- Relative positioning
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