网络化多传感器-多武器协同防空任务规划  

Cooperative air defense task planning of networked multi-sensor-multi-weapon

作　　者：董晨 帅逸仙 周金鹏 赖鹏 程仙垒 DONG Chen;SHUAI Yixian;ZHOU Jinpeng;LAI Peng;CHENG Xianlei(Shanghai Institute of Electromechanical Engineering,Shanghai 201109,China;Institute of Systems Engineering,Academy of Military Sciences,Beijing 100101,China)

机构地区：[1]上海机电工程研究所,上海201109 [2]军事科学院系统工程研究院,北京100101

出　　处：《系统工程与电子技术》2022年第12期3738-3746,共9页Systems Engineering and Electronics

基　　金：国防基础科研项目(JCKY2016203A017);重点实验室基金(JZX7Y202001SY000601)资助课题。

摘　　要：针对网络化防空体系的多传感器-多武器协同任务规划问题,考虑任务要求、装备性能、运用限制等约束,构建多武器拦截与多传感器跟踪任务规划模型。前者以拦截时机、次数等为优化目标,输出武器-目标配对以及对目标的拦截时段、跟踪时间要求;后者以满足跟踪时间要求为目标,输出传感器-目标配对和对目标的跟踪时段。设计了基于时段优选拼接和分支定界法的多传感器-多武器协同任务规划算法,生成多传感器-多武器协同交战计划,支持多传感器接力跟踪、跨平台打击引导、多武器协同抗击。在假定的舰艇编队与预警机协同防空场景下验证了所设计模型的有效性。Aiming at the problem of multi-sensor-multi-weapon cooperative task planning of networked air defense system,considering the constraints of task requirements,equipment performance and application constraints,a multi-weapon interception and multi-sensor tracking task planning model is constructed.The former takes the interception opportunity and times as the optimization objectives,and outputs the weapon target pairing as well as the interception period and tracking time requirements for the target.The latter aims to meet the requirements of tracking time,and outputs sensor target pairing and target tracking period.A multi-sensor-multi-weapon cooperative task planning algorithm based on optimal time splicing and branch and bound method is designed to generate a multi-sensory-multi-weapon cooperative engagement plan,which supports multi-sensor relay tracking,cross platform strike guidance,and multi-weapon cooperative combat.The effectiveness of the proposed model is verified in the hypothetical scenario of cooperative air defense between warship formation and early warning aircraft.

关 键 词：网络化防空体系 多传感器-多武器 协同任务规划 时段优选拼接 目标分配 

分 类 号：E927[军事—军事装备学]