摘要
Abstract
In the present work , an information fusion algorithm based on sequential extended Kalman filtering ( SEKF) for the active-passive radar composite seeker is proposed.First, the angle error is achieved from the active-passive radar composite seeker , and then an optimization strategy is used to weight the matched angle errors , which can be used to estimate the dynamic information of the targets.The experiments show that the steady-state error of state estimation based on active-passive radar information fusion is smaller than that relies on active radar measure -ment only.Meanwhile , the former filter has a faster convergence.关键词
主被动雷达/信息融合/状态估计Key words
active-passive radar/information fusion/state estimation分类
信息技术与安全科学
