摘要
针对受面阵CCD相机的帧频限制而对头盔瞄准显示系统定位速度慢的问题,提出了一种基于Unscented Kalman滤波的头盔运动位姿固定超前预测方法。分析了飞行员头部的运动特点,建立了描述头盔运动位姿固定超前预测的状态空间模型,并对头盔的三维运动位姿进行固定超前预测和估计,在保证位姿测量精度的前提下,间接提高定位系统对头盔的位姿测量速度。实验结果表明,该方法在保证对头盔瞄准显示系统定位精度的前提下,可以有效地将其定位速度提高一倍。
Aiming at the problem of slow positioning speed for helmet-mounted display and sight system , which is restricted by the area CCD camera＇s frame rate , a fixed-time prediction method for moving helmet pose based on Unscented Kalman filtering is proposed in this paper .The movement characteristics of the pilot＇s head are analyzed , and the state-space model is established to describe the fixed-time prediction process for moving helmet pose .Then, the three-dimensional pose of helmet is predicted and estimated as well .On the premise that the pose measurement accuracy would not decline , the pose measurement speed is improved by the positioning system for helmet indirectly .The experimental results show that, on the premise of ensuring the helmet＇s positioning accuracy, the positioning speed of helmet-mounted display and sight system can be effectively doubled by the proposed method .
出处
《电子测量与仪器学报》
CSCD
2014年第7期724-729,共6页
Journal of Electronic Measurement and Instrumentation
基金
国家自然科学基金(61308099)
吉林省科技发展计划(20140520114JH)资助项目
