多基阵目标运动分析的实验研究
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- 英文论文题名：Experimental study on target motion analysis with multiple arrays
- 论文作者：陈韶华 ; 王志刚 ; 张维
- 英文论文作者：CHEN Shao-hua ; WANG Zhi-gang ; ZHANG Wei ; No.710 R & D Institute ; CSIC
- 年：2016
- 作者机构：中船重工集团公司第七一研究所;
- 论文关键词：定位 ; 目标运动分析 ; 扩展卡尔曼滤波
- 英文论文关键词：localization ; target motion analysis(TMA) ; extended Kalman filter
- 会议召开时间：2016-10-28
- 会议录名称：2016年全国声学学术会议论文集
- 语种：中文
- 分类号：TN713
- 学会代码：OGSM
- 会议名称：2016年全国声学学术会议
- 会议地点：中国湖北武汉
- 主办单位：中国声学学会
- 学会名称：中国声学学会
- 页数：4
- 文件大小：419k
- 原文格式：D
- 会议级别：全国
摘要
针对水下多基阵对目标定位的问题,建立了多基阵目标运动分析的状态方程与测量方程,通过扩展卡尔曼滤波实现对目标运动状态的估计。在湖上试验中对三基阵目标运动分析方法进行了验证,通过数据记录装置的时统与空间坐标系的统一,根据三基阵所测目标方向能正确跟踪目标的轨迹,表明了方法的有效性。
For the purpose of locating underwater sound source with multiple arrays, the status equation and measuring equation are established to estimate the target's motion parameters with the extended Kalman filter. Lake trials with 3 arrays show that the target could be tracked with the bearing estimates of the 3 arrays, in case that the time reference as well as the spatial coordinates are untied. The experimental results validate the effectiveness of the above method.
For the purpose of locating underwater sound source with multiple arrays, the status equation and measuring equation are established to estimate the target's motion parameters with the extended Kalman filter. Lake trials with 3 arrays show that the target could be tracked with the bearing estimates of the 3 arrays, in case that the time reference as well as the spatial coordinates are untied. The experimental results validate the effectiveness of the above method.
引文
[1]刘圣松,陈韶华,陈川.一种水下静止平台对目标运动参数的联合估计[J].兵工学报,2016,37(4):684-689.Liu S S,Chen S H,Chen C.Combined algorithm for motion parameter estimation of target on underwater static platform[J].Acta ARMAMENTARII,2016,37(4):684-689.
[2]朱鲲,陈晏余,祝献.一种基于纯方位多假设跟踪(MHT)的目标检测跟踪方法研究[J].声学与电子工程,2014(1):20-23.
[3]Maranda B H,Fawcett J A.Detection and localization of weak targets by space-time integration[J].IEEE J Oceanic Eng.,1991,16(2):189-194.
[4]S.M.Kay.Fundamentals of statistical signal processing,[M].NJ:Prentice Hall PTR,1998.
[2]朱鲲,陈晏余,祝献.一种基于纯方位多假设跟踪(MHT)的目标检测跟踪方法研究[J].声学与电子工程,2014(1):20-23.
[3]Maranda B H,Fawcett J A.Detection and localization of weak targets by space-time integration[J].IEEE J Oceanic Eng.,1991,16(2):189-194.
[4]S.M.Kay.Fundamentals of statistical signal processing,[M].NJ:Prentice Hall PTR,1998.