摘要
针对有源压制干扰下的相控阵雷达(Phased array radar,PAR)多目标跟踪时间资源优化配置问题,提出了一种基于互信息(Mutual information,MI)的配置算法。采用MI准则作为目标跟踪性能量化指标,推导了包含时间变量的雷达回波与路径增益矩阵MI表达式,建立了时间资源优化配置模型,并采用改进的遗传算法实现了模型求解。仿真结果表明,该算法能在有源压制干扰条件下最大化有效跟踪目标数,并提高有效跟踪目标的整体跟踪性能。
An algorithm based on mutual information(MI)is proposed for the time resource optimal allocation of phased array radar(PAR),which focuses on multi-target tracking under active suppression jamming.The MI criterion is used as the quantitative indicator of target tracking,and the MI expression of the radar echo and the path gain matrix which contains the time variable is derived.Then the time resource optimal allocation model is established,and the improved genetic algorithm is used to solve the model.The simulation results show that the algorithm can maximize the number of effectively tracked targets under active suppression jamming,and the overall tracking performance of the effective tracking targets is improved.
作者
陶庭宝
张弓
张劲东
TAO Tingbao;ZHANG Gong;ZHANG Jindong(College of Electronic and Information Engineering,Nanjing University of Aeronautics and Astronautics,Nanjing,211106,China)
出处
《数据采集与处理》
CSCD
北大核心
2020年第5期978-990,共13页
Journal of Data Acquisition and Processing
基金
国家自然科学基金(61871218,61801211,61471191,61501233,61671241,61701046,61501228,61071163)资助项目
国家航空科学基金(2017052015,20182007001)资助项目
中央高校基本科研业务费基金(3082017NP2017421)资助项目
雷达成像与微波光子技术教育部重点实验室(南京航空航天大学)基金资助项目。
关键词
相控阵雷达
有源压制干扰
互信息
时间资源优化
遗传算法
phased array radar
active oppressive jamming
mutual information
optimal allocation of time resource
genetic algorithm
