在线阅读 --自然科学版 2018年3期《基于蚁群算法的静电放电目标定位技术》
基于蚁群算法的静电放电目标定位技术--[在线阅读]
邢政1,2, 魏明1, 刘卫东3, 胡小锋1, 王雷1
1. 陆军工程大学 石家庄校区静电与电磁防护研究所, 河北 石家庄 050003;
2. 中国华阴兵器试验中心, 陕西 华阴 714200;
3. 石家庄铁道大学 信息科学与技术学院, 河北 石家庄 050043
起止页码: 224--231页
DOI: 10.13763/j.cnki.jhebnu.nse.2018.03.007
摘要
无源被动定位具有较强的反隐身能力和反电子侦察能力,在军事和民用领域具有重要的应用价值.基于到达时差的定位技术在无源被动定位中的应用较多,传统的多站时差定位技术存在计算复杂、容易出现早熟等不足.首先,介绍了4元平面阵空间定位模型的基本原理;然后,在此基础上将静电放电目标的定位问题转化为可以使用蚁群算法求解的优化问题,并给出了蚁群算法求解问题的算法流程;最后,通过仿真与分析表明,蚁群优化算法可以实现对静电放电目标的定位,计算简单、速度快、定位精度高.

Research on Location of ESD Targets Based on Ant Colony Optimization
XING Zheng1,2, WEI Ming1, LIU Weidong3, HU Xiaofeng1, WANG Lei1
1. Institute of Electrostatic and Electromagnetic Protection, Army Engineering University, Hebei Shijiazhuang 050003, China;
2. China Huayin Ordnace Test Center, Shaanxi Huayin 714200, China;
3. School of Information Science and Technology, Shijiazhuang Tiedao University, Hebei Shijiazhuang 050043, China
Abstract:
Passive location with anti-stealth and anti-electronic reconnaissance capabilities have important applications in the military and civilian fields.The location technology based on time difference of arrival(TDOA) is widely applied to the passive positioning of the target.The traditional multi-station TDOA location technology is complicated and prone to premature.In this paper,we first introduced the basic principle of the 4-plane plane array space location model,and then transformed the problem of electrostatic discharge(ESD) target location into an optimization problem that could be solved by ant colony optimization(ACO) algorithm.The algorithm of ant colony algorithm is given,and the simulation results show that the ant colony optimization algorithm can locate the electrostatic discharge target and the positioning accuracy is high.In addition,the calculation is simple,and the speed of the calculation is fast.

收稿日期: 2017-09-18
基金项目: 国家自然科学基金(51277181);国家自然科学基金面上项目(51777213)

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