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- 2017
基于联邦卡尔曼滤波的月球车联合定位方法
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Abstract:
针对月球车定位，设计和推导了一种基于甚长基线干涉测量（very long baseline interferometry，VLBI）和天文导航系统（celestial navigation system，CNS）相结合的月球车联合定位方法，并采用联邦卡尔曼滤波来实现位置信息的最优估计以增强系统的可靠性和容错能力。最后，通过嫦娥-3号（CE-3）实测数据的解算证明了该方法较使用最小二乘法进行联合解算和单独采用VLBI方法定位，可以获得更高的月球车定位精度。同时，也有效地保障了月球车定位的可靠性和稳定性
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