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�������պ����ѧѧ�� 2012, Vol. 38 Issue (5) :620-624    DOI:
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1. �������պ����ѧ �ѧԺ, ���� 100191;
2. �վ�װ���о�Ժ������, ���� 100076;
3. �й�����ƹ����Ź�˾, ���� 100830
Optical flow/INS multi-sensor information fusion
Liu Xiaoming1, Chen Wanchun1, Xing Xiaolan2, Yin Xingliang3*
1. School of Astronautics, Beijing University of Aeronautics and Astronautics, Beijing 100191, China;
2. System Analysis Institute, Air Force Armament Research Academy, Beijing 100076, China;
3. China Aerospace Science & Industry Corp, Beijing 100830, China

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Abstract�� Several optical flow sensors were mounted dispersedly on a missile airframe. The airframe kinematics model in the vertical plane and the optical flow sensor measurement model were established. Discrete-time Kalman filters were used to fuse the optical flow data and rate gyroscope data, and estimate the altitude, attitude and velocity of the airframe. A very-low altitude-holding flight simulation was then implemented based on these estimations. The simulation results indicate that several optical flow sensors and a rate gyroscope can be used to estimate the altitude, vertical velocity, pitching angle, pitching angular velocity and attack angle exactly and real-time. These estimations can help to implement very-low penetration missions.
Keywords�� optical flow   optical flow sensor   information fusion   Kalman filter   very-low penetration     
Received 2011-01-26;
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��С��, ����, �����, ������.����/�ߵ��ഫ������Ϣ�ںϷ���[J]  �������պ����ѧѧ��, 2012,V38(5): 620-624
Liu Xiaoming, Chen Wanchun, Xing Xiaolan, Yin Xingliang.Optical flow/INS multi-sensor information fusion[J]  JOURNAL OF BEIJING UNIVERSITY OF AERONAUTICS AND A, 2012,V38(5): 620-624
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