船舶静电场在船舶跟踪定位中的应用  

Application of Ship Static Electric Field to Ship Tracking and Positioning

作　　者：孙宝全[1] 颜冰[1] 姜润翔[1] 张伽伟[1] SUN Bao-quan;Yan Bing;JIANG Run-xiang;ZHANG Jia-wei(College of Weaponry Engineering,Naval University of Engineering,Wuhan 430033,China)

机构地区：[1]海军工程大学兵器工程学院,湖北武汉430033

出　　处：《水下无人系统学报》2018年第1期57-62,共6页Journal of Unmanned Undersea Systems

摘　　要：来源于腐蚀防腐电流的船舶静电场具有明显的分布特征,并含有位置信息,可以用来跟踪船舶。论文研究了利用船舶静电场信号对船舶进行跟踪定位的可行性。文中首先建立了船舶运动的状态空间模型,利用点电流法为船舶静电场信号建模,并将船舶等效为点电流阵列;然后分析介绍了4种卡尔曼滤波算法的异同;最后结合Beasy数据,利用仿真对比经典卡尔曼滤波在电场跟踪中的适用性。仿真结果表明,采用船舶静电场信号可以有效地对船舶进行跟踪,具有较好的应用价值;在经典卡尔曼滤波算法中,扩展卡尔曼滤波具有更好的适用性。The ship static electric field from corrosion anticorrosion current has obvious distribution feature and contains position information.It can be used to track ships.This paper discusses the feasibility of ship tracking and positioning with the ship static electric field.Firstly,a state space model of ship motion is established,the ship static electric field is modeled by point current method,and the ship is equivalent to a point current array.Then,four Kalman filter algorithms are analyzed and compared.Finally,the applicability of the classic Kalman filters to the electric field tracking is analyzed via simulation on the basis of the Beasy data.Simulation results show that the signal of the static electric field can be used to track ship effectively,and of the classic Kalman filter algorithms,the extended Kalman filter behaves best.

关 键 词：船舶静电场 点电流阵列模型 卡尔曼滤波 状态空间模型 

分 类 号：TJ83[兵器科学与技术—武器系统与运用工程] TP274.2[自动化与计算机技术—检测技术与自动化装置]