摘要
针对弹载图像探测器协同探测的分配方式影响目标信息增益的问题,开展此类探测器广域协同探测算法研究。以获取最多有效毁伤信息为目标,研究了弹载图像探测器散布修正与目标分配问题;建立完整的图像探测器动力学模型和目标等效模型,模拟多探测器的协同探测环境;通过有效信息熵描述图像探测器系统获取毁伤信息的能力,推导毁伤信息熵与系统和目标的相关方程,得到协同探测能力的评价准则;基于Kuhn-Munkres算法和Runge-Kutta算法,提出求解图像探测器最佳修正时机与最优观测目标分配的优化求解方法,并给出算法流程,解决弹载图像探测器协同探测的最优分配问题。结果证明:与图像探测器随机分配方式进行对比,该算法具有更高的信息增益;当图像探测器越过检测目标时,目标信息熵增益同比增长24%。
The wide-area cooperative detection algorithm of missile-borne image detectors is studied for the effect of cooperative detection allocation scheme on the target information gain.The issues of the dispersion correction of missile-borne image detector and the target allocation are studied for the purpose of obtaining the most effective damage information.The complete dynamic model and target equivalent model of image detector are proposed to simulate the collaborative detection environment of multiple detectors.The ability of the image detector system to obtain damage information through effective information entropy is described,the correlation equations between damage information entropy and the system and target are derived,and the evaluation criteria is established for cooperative detection capabilities.Based on the Kuhn-Munkres algorithm and the Runge-Kutta algorithm,an optimal solution method is proposed for solving the optimal correction timing of image detector and the optimal observation target allocation,and the algorithm flow is given to solve the optimal allocation problem of collaborative detection of missile-borne image detector.The results show that this algorithm has higher information gain compared with the random allocation of image detectors,and the target information entropy gain is increased by 24%when the image detector crosses a detected target.
作者
娄文忠
苏子龙
汪金奎
刘伟桐
赵飞
LOU Wenzhong;SU Zilong;WANG Jinkui;LIU Weitong;ZHAO Fei(State Key Laboratory of Explosion Science and Technology, Beijing Institute of Technology, Beijing 100081, China)
出处
《兵工学报》
EI
CAS
CSCD
北大核心
2021年第11期2388-2395,共8页
Acta Armamentarii
基金
国家部委“十三五”预先研究项目(201820246157)。
