摘要
针对轴频电场包络跟踪中先验信息缺失的问题,研究了船舶轴频电场跟踪对传感器阵列的基本要求,引入了一种基于最大似然选择的多初值渐进更新扩展卡尔曼滤波算法。建立船舶轴频电场包络跟踪的状态空间模型,用水平电偶极子对船舶轴频电场包络进行建模;建立基于最大似然选择的多初值模型;基于轴频包络信号特征,研究了对传感器阵列排布方式的要求。仿真结果表明,利用轴频电场包络对船舶进行跟踪是可行的,要求传感器阵列至少由3个传感器组成,且3个传感器不在一条直线上;在传感器阵列满足要求的情况下,该算法可以有效解决轴频电场包络跟踪中的先验信息缺失问题,具有较高的实用价值。
Aimed at the problem of lack of prior information in the shaft-rate electric field envelope tracking,the basic requirement of ship shaft-rate electric field tracking on the sensor array was studied and a multi initial progressive update extended Kalman filter algorithm based on maximum likelihood selection was introduced.The state space model of ship shaft-rate electric field envelope tracking was established,and the horizontal electric dipole was used to model the ship′s shaft-rate electric field envelope;a multiple initial value model based on maximum likelihood selection was established.Next based on the signal characteristics of the envelope of shaft-rate electric field,the requirement of sensor array arrangement was studied.Simulation results show that it is feasible to track ship by the envelope of shaft-rate electric field.And it is required that the sensor array must be made up of at least three sensors,which are not in a straight line.Under the condition that the sensor array meets the requirements,the proposed algorithm can effectively solve the lack of prior information in the shaft-rate electric field envelope tracking,and it has a high practical value.
作者
孙宝全
颜冰
张伽伟
姜润翔
SUN Baoquan;YAN Bing;ZHANG Jiawei;JIANG Runxiang(College of Weapon Engineering,Naval University of Engineering,Wuhan 430033,China)
出处
《国防科技大学学报》
EI
CAS
CSCD
北大核心
2019年第5期166-173,共8页
Journal of National University of Defense Technology
基金
国家自然科学基金资助项目(41476154)
国家自然科学基金青年基金资助项目(51509252)
关键词
轴频电场
渐进更新扩展卡尔曼滤波
状态空间模型
电偶极子
shaft-rate electric field
progressive update extended Kalman filter
state space model
electric dipole
