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用于检测嵌入非均匀背景介质中的点状散射体的多信号分类方法。

Multiple signal classification method for detecting point-like scatterers embedded in an inhomogeneous background medium.

机构信息

Department of Electrical and Computer Engineering, National University of Singapore, Singapore 117576, Singapore.

出版信息

J Acoust Soc Am. 2010 Apr;127(4):2392-7. doi: 10.1121/1.3303984.

Abstract

The multiple signal classification (MUSIC) type method has been widely used to detect point-like scatterers embedded in a homogeneous background medium. This paper extends the MUSIC-type method to the detection of point-like scatterers that are embedded in an inhomogeneous background. Although the background Green's function at each test point is not directly available in inhomogeneous background scenario, this paper proposes an approach, based on the finite element method, to simultaneously obtain the Green's function at all test points. Numerical simulations illustrate the efficacy of the proposed theory and algorithm presented in this paper, and some interesting observations, which are absent in homogeneous background scenario, are highlighted and discussed.

摘要

多信号分类(MUSIC)类方法已被广泛用于检测嵌入均匀背景介质中的点状散射体。本文将 MUSIC 类方法扩展到检测嵌入非均匀背景中的点状散射体。尽管在非均匀背景场景中,每个测试点的背景格林函数无法直接获得,但本文提出了一种基于有限元方法的方法,以同时获得所有测试点的格林函数。数值模拟说明了本文提出的理论和算法的有效性,并突出和讨论了一些在均匀背景场景中不存在的有趣观察结果。

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