吉林大学学报(工学版) ›› 2016, Vol. 46 ›› Issue (2): 646-651.doi: 10.13229/j.cnki.jdxbgxb201602046

• 论文 • 上一篇    下一篇

基于时间反转的远场目标聚焦方法

刘伟1, 付永庆1, 许达2   

  1. 1.哈尔滨工程大学 信息与通信工程学院,哈尔滨 150001;
    2.哈尔滨工程大学 水声工程学院,哈尔滨 150001
  • 收稿日期:2014-07-16 出版日期:2016-02-20 发布日期:2016-02-20
  • 通讯作者: 付永庆(1956-),男,教授,博士生导师.研究方向:通信与信息系统,信号与信息处理,电路与系统.E-mail:fuyongqing@hrbeu.edu.cn E-mail:liuwei0804@hrbeu.edu.cn
  • 作者简介:刘伟(1988-),女,博士研究生.研究方向:阵列信号处理.E-mail:liuwei0804@hrbeu.edu.cn
  • 基金资助:

    国家自然科学基金项目(61172038)

Focusing method based on time reversal theory for far field targets

LIU Wei1, FU Yong-qing1, XU Da2   

  1. 1.College of Information and Communication Engineering, Harbin Engineering University, Harbin 150001,China;
    2.College of Underwater Acoustic Engineering, Harbin Engineering University, Harbin 150001, China
  • Received:2014-07-16 Online:2016-02-20 Published:2016-02-20

RICH HTML

0   

PDF (PC)

341

摘要：

针对远场目标的时间反转聚焦问题,提出了一种传输矩阵估计下的时间反转聚焦方法.该方法利用目标探测波和目标反射回波获得传输矩阵的最小二乘估计值,进而通过计算得到时间反转算子(TRO),通过对该算子进行特征值分解可获得主特征值和主特征向量,其中主特征值的个数对应目标个数.利用除主特征向量以外的噪声向量进行搜索域内各虚拟观测点的目标函数计算,可以实现在远场目标处的聚焦.仿真结果表明:本文所提方法可以准确有效地实现在远场目标处的时间反转聚焦,而且该算法可以获得比基于TRO分解的选择性聚焦算法更好的聚焦性能.

关键词: 信息处理技术, 远场目标聚焦, 时间反转, 噪声向量

Abstract:

A time reversal focusing method based on transfer matrix estimation is proposed for far field targets. In this method, first, the least square estimation of the transfer matrix is obtained using detection and reflection signals of the targets, based on which the time reversal operator (TRO) is calculated. Second, the eigenvalues and corresponding eigenvectors are obtained by performing eigenvalue decomposition of TRO, where the number of targets can be confirmed by the number of the principal eigenvalues. Finally, the far target focusing can be realized through calculating the objective function of virtual observed points in the search area using noise vectors. Experimental simulations are performed and results show that the proposed method could realize time reversal focusing for far field targets effectively and accurately. The focusing performance of this method is better than that of the selective focusing method based on decomposition of TRO.

Key words: information processing, far field targets focusing, time reversal, noise vectors

中图分类号: 

  • TN911.7
[1] Fu Y Q, Jiang Y L, Liu Z Y. Near-field source localization method and application using the time reversal mirror technique[J]. Journal of Electronics (China), 2011, 28 (4): 531-538.
[2] Fink M, Prada C, Wu F, et al. Self focusing in inhomogeneous media with time reversal acoustic mirrors[C]//IEEE Ultrasonics Symposium Proceedings. Montreal, Que: IEEE Press, 1989: 681-686.
[3] Song H C, Kuperman W A, Hodgkiss W S, et al. Iterative time reversal in the ocean[J]. Journal of the Acoustical Society of America, 1999, 105 (6): 3176-3184.
[4] Lerosey G, Rosny J D, Tourin A, et al. Time reversal of electromagnetic waves[J]. Physical Review Letters, 2004, 92 (19): 193904.
[5] Thomas J L, Fink M. Self focusing on extended objects with time reversal mirror application to lithotripsy[C]//IEEE Ultrasonics Symposium Proceedings.Cannes, France: IEEE Press, 1994: 1809-1814.
[6] Normandin B, Veidt M. Single transducer pair lamb wave time reversal for damage detection in composite laminates[J]. Key Engineering Materials Structual Health Monitoring: Research and Applications, 2013, 558: 205-217.
[7] Qu W Z, Xiao L, Zhou Y G, et al. Lamb wave damage detection using time reversal DORT method[J]. Smart Materials and Structures, 2013, 22(4):045014.
[8] 时洁, 杨德森, 时胜国. 基于多途模型匹配的浅海噪声源聚焦定位方法[J]. 电子学报, 2013, 41 (3): 575-581.
Shi Jie, Yang De-sen, Shi Sheng-guo. Research on noise sound source location method in shallow water based on the multi-path model match[J]. Acta Electronica Sinica, 2013, 41 (3): 575-581.
[9] 师芳芳, 汪承灏, 张碧星, 等. 时间反转和逆时偏移混合法用于层状介质中目标的声学检测和定位[J]. 声学学报, 2013, 38(6): 639-647.
Shi Fang-fang, Wang Cheng-hao, Zhang Bi-xing, et al. Acoustic detection and location of targets in layered media by a mixed method of time reversal and reverse time migration[J]. ACTA Acustica, 2013, 38(6): 639-647.
[10] Song H C. Time reversal communication with a mobile source[J]. Journal of the Acoustical Society of America, 2013, 134 (4): 2623-2626.
[11] 周跃海, 李芳兰, 陈楷,等. 低信噪比条件下时间反转扩频水声通信研究[J]. 电子与信息学报, 2012, 34(7): 1685-1689.
Zhou Yue-hai, Li Fang-lan, Chen Kai, et al. Research of time reversal spread spectrum underwater acoustic communication under low SNR[J]. Journal of Electronics & Information Technology, 2012, 34(7): 1685-1689.
[12] Razavian M, Hosseini M H, Safian R. Time-reversal microwave imaging based on random configuration of transmitters or receivers[J]. Progress in Electromagnetics Research B, 2013, 56: 235-250.
[13] Masson Y, Cupillard P, Capdeville Y, et al. On the numerical implementation of time-reversal mirrors for tomographic imaging[J]. Geophysical Journal International, 2013, 196(3): 1580-1599.
[14] Prada C, Thomas J L, Fink M. The iterative time reversal process: analysis of the convergence[J]. Journal of the Acoustical Society of America, 1995, 97(1): 62-71.
[15] Prada C, Manneville S, Spoliansky D, et al. Decomposition of the time reversal operator: Detection and selective focusing on two scatterers[J]. Journal of the Acoustical Society of America, 1996, 99(4): 2067-2076.
[1] 苏寒松,代志涛,刘高华,张倩芳. 结合吸收Markov链和流行排序的显著性区域检测[J]. 吉林大学学报(工学版), 2018, 48(6): 1887-1894.
[2] 徐岩,孙美双. 基于卷积神经网络的水下图像增强方法[J]. 吉林大学学报(工学版), 2018, 48(6): 1895-1903.
[3] 黄勇,杨德运,乔赛,慕振国. 高分辨合成孔径雷达图像的耦合传统恒虚警目标检测[J]. 吉林大学学报(工学版), 2018, 48(6): 1904-1909.
[4] 李居朋,张祖成,李墨羽,缪德芳. 基于Kalman滤波的电容屏触控轨迹平滑算法[J]. 吉林大学学报(工学版), 2018, 48(6): 1910-1916.
[5] 应欢,刘松华,唐博文,韩丽芳,周亮. 基于自适应释放策略的低开销确定性重放方法[J]. 吉林大学学报(工学版), 2018, 48(6): 1917-1924.
[6] 陆智俊,钟超,吴敬玉. 星载合成孔径雷达图像小特征的准确分割方法[J]. 吉林大学学报(工学版), 2018, 48(6): 1925-1930.
[7] 刘仲民,王阳,李战明,胡文瑾. 基于简单线性迭代聚类和快速最近邻区域合并的图像分割算法[J]. 吉林大学学报(工学版), 2018, 48(6): 1931-1937.
[8] 单泽彪,刘小松,史红伟,王春阳,石要武. 动态压缩感知波达方向跟踪算法[J]. 吉林大学学报(工学版), 2018, 48(6): 1938-1944.
[9] 姚海洋, 王海燕, 张之琛, 申晓红. 双Duffing振子逆向联合信号检测模型[J]. 吉林大学学报(工学版), 2018, 48(4): 1282-1290.
[10] 全薇, 郝晓明, 孙雅东, 柏葆华, 王禹亭. 基于实际眼结构的个性化投影式头盔物镜研制[J]. 吉林大学学报(工学版), 2018, 48(4): 1291-1297.
[11] 陈绵书, 苏越, 桑爱军, 李培鹏. 基于空间矢量模型的图像分类方法[J]. 吉林大学学报(工学版), 2018, 48(3): 943-951.
[12] 陈涛, 崔岳寒, 郭立民. 适用于单快拍的多重信号分类改进算法[J]. 吉林大学学报(工学版), 2018, 48(3): 952-956.
[13] 孟广伟, 李荣佳, 王欣, 周立明, 顾帅. 压电双材料界面裂纹的强度因子分析[J]. 吉林大学学报(工学版), 2018, 48(2): 500-506.
[14] 林金花, 王延杰, 孙宏海. 改进的自适应特征细分方法及其对Catmull-Clark曲面的实时绘制[J]. 吉林大学学报(工学版), 2018, 48(2): 625-632.
[15] 王柯, 刘富, 康冰, 霍彤彤, 周求湛. 基于沙蝎定位猎物的仿生震源定位方法[J]. 吉林大学学报(工学版), 2018, 48(2): 633-639.
Viewed
Full text


Abstract

Cited
  Shared   
  Discussed   
No Suggested Reading articles found!
版权所有 © 《吉林大学学报(工学版)》编辑部
地址：长春市人民大街5988号　电话：+86-431-85095297　传真：+86-431-85094074　E-mail: xbgxb@jlu.edu.cn
本系统由北京玛格泰克科技发展有限公司设计开发