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

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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
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