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基于小波-UKF的自主光学导航方法研究
引用本文:隋树林,姚文龙,赵晓伟.基于小波-UKF的自主光学导航方法研究[J].系统仿真学报,2007,19(12):2776-2778,2782.
作者姓名:隋树林  姚文龙  赵晓伟
作者单位:青岛科技大学,自主导航与智能控制研究所,山东,青岛266042
基金项目:国家高技术研究发展计划(863计划)
摘    要:利用光学导航相机以及星敏感器,通过测量星光信息以及天体边缘的信息,进行了自主光学导航方案的设计.利用小波分析对观测信息进行预处理,滤除了它所包含的高频噪声,为UKF(Unscented Kalman Filter)滤波过程提了更为平稳的观测信息,并与UKF滤波进行比较,通过仿真验证了该算法的优越性.

关 键 词:自主光学导航  小波分析  星敏感器  光学导航相机
文章编号:1004-731X(2007)12-2776-03
收稿时间:2006-05-18
修稿时间:2006-05-182006-09-11

Study of Autonomous Optical Navigation Based on Wavelet-UKF
SUI Shu-lin,YAO Wen-long,ZHAO Xiao-wei.Study of Autonomous Optical Navigation Based on Wavelet-UKF[J].Journal of System Simulation,2007,19(12):2776-2778,2782.
Authors:SUI Shu-lin  YAO Wen-long  ZHAO Xiao-wei
Abstract:An autonomous optical navigation scheme was designed using the star light data and body edge data which is measured by star sensor and optical navigation camera.The observation information was pretreated by wavelet analysis and the high frequency noise was filtered thus it offered the furthermore smooth observation information for the UKF(Unscented Kalman Filter).The advantage of the algorithm is showed by the simulation through compared with the UKF.
Keywords:UKF  Mallet
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