机载传感器管理中信息引导雷达搜索空域研究  

Airspace Planning of Information-Guided Radar Search in Airborne Sensor Management

作　　者：樊皓 陈东 姜家财 孙学[1] FAN Hao;CHEN Dong;JIANG Jiacai;SUN Xue(Southwest China Institute of Electronic Technology,Chengdu 610036,China;Aviation Military Representative Office of Army Equipment Department in Chengdu District,Chengdu 610036,China)

机构地区：[1]中国西南电子技术研究所,成都610036 [2]陆军装备部驻成都地区航空军事代表室,成都610036

出　　处：《电光与控制》2021年第2期65-68,共4页Electronics Optics & Control

基　　金：“十三五”装备预先研究项目(41413040201);“十三五”陆航装备预先研究项目(30104010304)。

摘　　要：当前机载传感器管理中,信息引导雷达搜索的空域规划问题由信息误差和经验公式确定,雷达搜索空域较大,使信息引导失去意义。根据雷达搜索空域规划的基本原则,结合目标高斯分布的假设和目标截获概率的推导,建立信息引导雷达空域搜索模型。模型以最小化搜索空域为目标,同时满足目标截获概率和雷达的探测约束,实现对不同截获概率需求的搜索空域规划。引入带约束条件的粒子群优化算法对模型进行求解,仿真结果证明了模型的有效性,并与传统方法、遗传算法和人工鱼群算法进行了对比。In the current airborne sensor management,the airspace planning problem in information-guided radar search is determined by information errors and empirical formula.The searched airspace is large,which makes the information guidance meaningless.According to the basic principles of airspace planning in radar search,the assumption of targets’Gaussian distribution and the derivation of target interception probability are adopted,and an information-guided airspace search model is established.The model aims at minimizing the airspace to be searched,and can meet the requirements on target interception probability while satisfying radar detection constraints.The model realizes the planning of the airspace to be searched,which can meet different requirements on interception probability.The Particle Swarm Optimization(PSO)algorithm with several constraints is introduced to solve the model.The simulation results have proved the effectiveness of the model and a comparison is made with the traditional method,the genetic algorithm and the artificial fish swarm algorithm.

关 键 词：传感器管理 雷达搜索 信息引导 空域规划 粒子群优化算法 

分 类 号：TN959[电子电信—信号与信息处理]