摘要
考虑到目标类型数和传感器扫描次数对识别的影响,提出了一种改进的多传感器多目标识别相关算法,导出了新的累积融合公式。对多传感器多目标识别融合作了计算机模拟,模拟结果证实了改进的算法在性能上有明显的提高。
This paper proposes a general target identification fusion model.The effects of target classesand sensor scanning number on identification are studied,After that,the improved correlative algorithm ofmultisensor multitarget identification and a new cumulative fusion equation are deduced. Finally amultisensor multitarget identifieation system for demonstration is introduced. By this demonstrationalsystem,a large number of simulative data are obtained and analysed. From these results it is shown that thenew algorithm can offer better accuracy of identifieation.
出处
《电子科技大学学报》
EI
CAS
CSCD
北大核心
1995年第2期137-142,共6页
Journal of University of Electronic Science and Technology of China
基金
电子部预研基金
关键词
目标识别
传感器
算法
融合
计算机模拟
ramp response waveform
binary range image
mass fuction
D-S rule ofcombination
target class
cumulation