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Supervised by Ministry of Industry and Information Technology of The People's Republic of China Sponsored by Harbin Institute of Technology Editor-in-chief Yu Zhou ISSNISSN 1005-9113 CNCN 23-1378/T

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Related citation:WANG Xiao-gang,CUI Nai-gang,GUO Ji-feng.Second-order divided difference filter for vision-based relative navigation[J].Journal of Harbin Institute Of Technology(New Series),2011,18(3):16-20.DOI:10.11916/j.issn.1005-9113.2011.03.004.
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Second-order divided difference filter for vision-based relative navigation
Author NameAffiliation
WANG Xiao-gang Dept.of Astronautic Engineering,Harbin Institute of Technology,Harbin 150001,China 
CUI Nai-gang Dept.of Astronautic Engineering,Harbin Institute of Technology,Harbin 150001,China 
GUO Ji-feng Dept.of Astronautic Engineering,Harbin Institute of Technology,Harbin 150001,China 
Abstract:
A second-order divided difference filter (SDDF) is derived for integrating line of sight measurement from vision sensor with acceleration and angular rate measurements of the follower to estimate the precise relative position,velocity and attitude of two unmanned aerial vehicles (UAVs).The second-order divided difference filter which makes use of multidimensional interpolation formulations to approximate the nonlinear transformations could achieve more accurate estimation and faster convergence from inaccurate initial conditions than standard extended Kalman filter.The filter formulation is based on relative motion equations.The global attitude parameterization is given by quarternion,while a generalized three-dimensional attitude representation is used to define the local attitude error.Simulation results are shown to compare the performance of the second-order divided difference filter with a standard extended Kalman filter approach.
Key words:  relative navigation  second-order divided difference filter  vision sensor  unmanned aerial vehicle  formation flight
DOI：10.11916/j.issn.1005-9113.2011.03.004
Clc Number:V249.3
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