卡尔曼滤波在时间方位历程图处理中的应用
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- 英文论文题名：The application of kalman filter in btr processing
- 论文作者：丁超 ; 高鑫 ; 刘启军
- 英文论文作者：DING Chao ; GAO Xin ; LIU Qi-jun ; Navy Submarine Academy
- 年：2016
- 作者机构：海军潜艇学院;
- 论文关键词：方位时间历程图 ; 卡尔曼滤波 ; 多项式拟合
- 英文论文关键词：BTR ; Kalman filter ; polynominal fitting
- 会议召开时间：2016-08-21
- 会议录名称：2016’中国西部声学学术交流会论文集
- 语种：中文
- 分类号：TB56
- 学会代码：SXJS
- 会议名称：2016’中国西部声学学术交流会
- 会议地点：中国四川成都
- 主办单位：中国声学学会微声学分会、中国声学学会物理声学分会、陕西省声学学会、浙江省声学学会、山东省声学学会、上海市声学学会、黑龙江省声学学会、水声技术重点实验室、重庆市声学学会、西安市声学学会、四川省声学学会
- 学会名称：《声学技术》编辑部
- 页数：4
- 文件大小：580k
- 原文格式：D
- 会议级别：全国
摘要
方位历程图广泛用于警戒声纳的显控系统中,有其特有的优势。本文研究了时间方位历程图的处理方法,以求达到减少干扰,突出有用信息的目的。本文首先对原始的时间方位历程图进行预处理,提取峰值,进行断点连接,剔除强度过低的点和时长过短的点,再去除左右舷模糊目标。本文的主要内容是对预处理后的图像进行方位精细化处理,通过比较多项式拟合方法、直接卡尔曼滤波方法的处理效果,得出了各自的优缺点,并在此基础上提出了一种改进的卡尔曼滤波方法,弥补了直接卡尔曼滤波中的一些缺点,得到了较好的处理效果,对后续跟踪、识别工作将有较大帮助。
BTR is extensively used in the display and control systems of waring sonars, because of its proper advantages. This article studies processing methods of BTR, for the fewer noise characters and highlighted useful information. Firstly, some preprocessing is done, which includes peak picking, broken points connection, low-strength points and short-time lines elimination and port and starboard ambiguity improvement. The main part of this article is fining processing of preprocessed BTR. By comparing the processing effect of polynominal fitting method and Kalman filter method, the advantages and disadvantages of the two methods can be knew. And a improved Kalman filter method is presented on this base. This method can make for the shortages of Kalman filter method, and engender better processing effect.
BTR is extensively used in the display and control systems of waring sonars, because of its proper advantages. This article studies processing methods of BTR, for the fewer noise characters and highlighted useful information. Firstly, some preprocessing is done, which includes peak picking, broken points connection, low-strength points and short-time lines elimination and port and starboard ambiguity improvement. The main part of this article is fining processing of preprocessed BTR. By comparing the processing effect of polynominal fitting method and Kalman filter method, the advantages and disadvantages of the two methods can be knew. And a improved Kalman filter method is presented on this base. This method can make for the shortages of Kalman filter method, and engender better processing effect.
引文
[1]郑佼.被动声纳显示优化技术研究[D].哈尔滨工程大学,2013:3-13.Zheng Jiao.A Dissertation for the Degree of M.Eng[D].Harbin Engineering University,2013:3-13.
[2]杨青智.机动目标跟踪技术研究[D].西安电子科技大学,2008:16-18.Yang Qingzhi.Research on Technology of Maneuvering Target Tracking[D].Xidian University,2008:16-18.
[3]张晓勇,罗来源.被动声呐信号检测技术发展[J].声学技术,2014,33(6):559-563.Zhang Xiaoyong,Luo Laiyuan.Recent Development of Passive Sonar Signal Detection[J].Technical Acoustics,2014,33(6):559-563.
[2]杨青智.机动目标跟踪技术研究[D].西安电子科技大学,2008:16-18.Yang Qingzhi.Research on Technology of Maneuvering Target Tracking[D].Xidian University,2008:16-18.
[3]张晓勇,罗来源.被动声呐信号检测技术发展[J].声学技术,2014,33(6):559-563.Zhang Xiaoyong,Luo Laiyuan.Recent Development of Passive Sonar Signal Detection[J].Technical Acoustics,2014,33(6):559-563.
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