摘要
利用星敏感器和地平仪测量"星光仰角",进行自主导航方案设计。将UPF(Unscented Particle Filter)方法引入导航方案,利用UKF(Unscented Kalman Filter)获得重要性采样函数的同时,通过重采样解决了粒子耗尽问题,改善了系统性能。并与标准粒子滤波方法相比较,通过仿真验证了该方法的优越性。
An autonomous navigation scheme is designed by using the star sensor and horizontal instrument to observe the elevation angle of star.UPF(Unscented Particle Filter) imported into the navigation scheme uses UKF(Unscented Kalman Filter) to generate importance distribution function, at the same time,it resolves the problem of particles exhausted by using re-sampling so that the capability of the system is improved. The advantage of the algorithm is showed by the simulation through compared with the Particle Fi...
出处
《微计算机信息》
北大核心
2008年第4期287-288,314,共3页
Control & Automation
基金
国家863计划资助项目(2004AA735080-5)
关键词
自主导航
UPF
星光仰角
autonomous navigation
UPF
elevation angle of star
