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引用本文:陶庆, 张劲东, 邱旦峰. 基于混合变量规划的雷达最优搜索方法[J]. 雷达科学与技术, 2021, 19(1): 104-110.[点击复制]
TAO Qing, ZHANG Jindong, QIU Danfeng. Radar Optimal Search Method Based on Mixed Variable Programming[J]. Radar Science and Technology, 2021, 19(1): 104-110.[点击复制]
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基于混合变量规划的雷达最优搜索方法
陶庆, 张劲东, 邱旦峰
南京航空航天大学电子信息工程学院,江苏南京 210016
摘要:
针对预警机所提供引导信息下相控阵雷达进行快速搜索,以3倍均方差法为依据来划分初始搜索空域并对其进行波位编排,根据先验信息得到目标在各个波位的出现概率。考虑到雷达对各个波位的照射顺序,以最小化目标平均发现时间为目的,建立基于混合变量规划的相控阵雷达搜索资源最优分配模型。使用拉格朗日乘子法对模型进行求解,可同时得到最优搜索顺序以及最优搜索数据率。仿真实验表明,该方法可以迅速准确地搜索到目标,提高雷达的搜索效率。
关键词:  相控阵雷达  搜索  拉格朗日乘子法  先验信息
DOI:10.3969/j.issn.1672-2337.2021.01.017
分类号:TN958.92
基金项目:航空科学基金资助项目(No.2017052015,20182007001)
Radar Optimal Search Method Based on Mixed Variable Programming
TAO Qing, ZHANG Jindong, QIU Danfeng
College of Electronic and Information Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing 210016, China
Abstract:
According to the guidance information provided by the early warning aircraft, the phased array radar can realize quick search. Based on the triple mean square error method, the initial search airspace is divided and the wave positions are arranged. According to the prior information, the occurrence probability of the target in each wave position is obtained. Considering the order of radar irradiation to each wave position, with the purpose of minimizing the average target discovery time, a phased array radar search resource optimal allocation model based on mixed variable programming is established. Using the Lagrange multiplier method to solve the model, the optimal search order and optimal search data rate can be obtained at the same time. Simulation experiments show that this method can quickly and accurately search for the target and improve the radar search efficiency.
Key words:  phased array radar  search  Lagrange multiplier method  priori information

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