Title :
Unscented Kalman Filter based Autonomous Optical Navigation Method
Author :
Shu-Lin Sui ; Jian Yuan ; Wen-Xia Zhang
Author_Institution :
Inst. of Autonomous Navigation & Intelligent control, Qingdao Univ. of Sci. & Technol., China
Abstract :
Through much research into environment characteristic of the fast movement and anomalous celestial bodies figure in autonomous orbit determination of deep space explorer, an autonomous optical navigation scheme based on Unscented Kalman Filter is proposed to determine the circling orbit state in time, in which star sensor and navigation camera are used in measuring special angles between planetoids and explorer, which can promote parameter mean and predictive precision, so it can solve the difficulty of autonomous orbit determination. Compared with extended Kalman filter, it shows that its performance is better than extended Kalman filter based on minimum mean square error.
Keywords :
Kalman filters; aerospace robotics; mean square error methods; mobile robots; navigation; object detection; robot vision; space vehicles; anomalous celestial bodies; autonomous optical navigation; autonomous orbit determination; circling orbit state determination; deep space explorer; minimum mean square error; navigation camera; planetoids; special angle measurement; star sensor; unscented Kalman filter; Cameras; Extraterrestrial measurements; Goniometers; Navigation; Optical filters; Optical sensors; Planetary orbits; Sensor phenomena and characterization; Space exploration; Time measurement; Autonomous Optical Navigation; Orbit Determination; Unscented Kalman Filter;
Conference_Titel :
Control Conference, 2006. CCC 2006. Chinese
Conference_Location :
Harbin
Print_ISBN :
7-81077-802-1
DOI :
10.1109/CHICC.2006.280582