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自主探测系统的Bayes递推估计策略
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作者 刘传才 杨静宇 《控制理论与应用》 EI CAS CSCD 北大核心 2001年第2期273-276,共4页
探测系统被动地接受外界的测量信息是不够的 ,因此方式获得的数据是不完备的 ,由此推理得出的结论在一定程度上具有不确定性 ,是不能接受的 .为获得可靠的信息 ,常采用多传感器的数据融合或装备自主传感器的方法 .文中将Bayes递推估计... 探测系统被动地接受外界的测量信息是不够的 ,因此方式获得的数据是不完备的 ,由此推理得出的结论在一定程度上具有不确定性 ,是不能接受的 .为获得可靠的信息 ,常采用多传感器的数据融合或装备自主传感器的方法 .文中将Bayes递推估计策略应用于自主探测系统 。 展开更多
关键词 主动视觉 机械手 自主探测系统 Bayes递推估计策略
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New autonomous celestial navigation method for lunar satellite 被引量:6
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作者 房建成 宁晓琳 《Journal of Harbin Institute of Technology(New Series)》 EI CAS 2003年第3期308-310,共3页
Celestial navigation system is an important autonomous navigation system widely used for deep space exploration missions, in which extended Kalman filter and the measurement of angle between celestial bodies are used ... Celestial navigation system is an important autonomous navigation system widely used for deep space exploration missions, in which extended Kalman filter and the measurement of angle between celestial bodies are used to estimate the position and velocity of explorer. In a conventional cartesian coordinate, this navigation system can not be used to achieve accurate determination of position for linearization errors of nonlinear spacecraft motion equation. A new autonomous celestial navigation method has been proposed for lunar satellite using classical orbital parameters. The error of linearizafion is reduced because orbit parameters change much more slowly than the position and velocity used in the cartesian coordinate. Simulations were made with both the cartesiane system and a system based on classical orbital parameters using extended Kalman filter under the same conditions for comparison. The results of comparison demonstrated high precision position determination of lunar satellite using this new method. 展开更多
关键词 deep space exploration lunar satellite autonomous celestial navigation extended Kalman filter
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