摘要
目前侵彻引信层目标识别算法通常采用固定阈值或多阈值方式对目标层信号进行判断,阈值的设定通常需要依赖先验数据,不具有普适性。针对此问题,在融合信号计层算法基础上提出一种自适应阈值层目标识别算法。该方法根据引信采集到的传感器信号,实时在线计算出下一层目标的判定阈值,根据计算出的阈值识别当前层数。采用半实物仿真,用多次火炮试验中采集到的数据对算法进行验证。结果表明:与固定阈值计层算法相比,自适应阈值算法在不同试验工况下均能正确给出层标识信号;自适应阈值算法给出的层标识信号与实际试验中高速摄像系统记录到的层时间能够较好地吻合。
At present,the layer-count algorithm of penetration fuse usually uses one or more fixed thresholds to judge the target layer.The setting of threshold usually depends on the prior data.And there is no such a threshold which can fit all test conditions.For this problem,an adaptive threshold layer-count algorithm is proposed based on the fusion signal algorithm.The proposed algorithm uses the sensor signals collected by fuse to calculate the decision threshold of the next target in real time and online.Then the current number of layers is identified according to the calculated threshold.The simulated results show that the proposed algorithm can give the layer identification signal correctly under different test conditions compared with the fixed threshold algorithm.And the layer identification signal given by the proposed algorithm is in good agreement with the time recorded by high-speed camera in the actual test.
作者
黄莎玲
朱鸿志
程祥利
谢玉斌
HUANG Shaling;ZHU Hongzhi;CHENG Xiangli;XIE Yubin(Institute of Electronic Engineering, China Academy of Engineering Physics, Mianyang 621999, Sichuan, China)
出处
《兵工学报》
EI
CAS
CSCD
北大核心
2020年第9期1762-1771,共10页
Acta Armamentarii
基金
武器装备预先研究项目(2019年)。
关键词
侵彻引信
自适应阈值
目标识别
起爆控制
penetration fuse
adaptive threshold
target identification
initiation control
