Application of MUSIC to Limited-View Inverse Scattering Problem

被引：0
|
作者：
Park, Won-Kwang [1 ]
机构：
[1] Kookmin Univ, Dept Math, Seoul 136702, South Korea
来源：
2015 8th International Congress on Image and Signal Processing (CISP) | 2015年
关键词：
MUltiple SIgnal Classification; limited-view inverse scattering problem; least condition; Bessel function; numerical simulations; PERFECTLY CONDUCTING CRACKS; HALF-SPACE; ALGORITHM; INCLUSIONS; FREQUENCY; ARC;
D O I：
暂无
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
From the various results of numerical simulations, it has verified that the MUltiple SIgnal Classification (MUSIC) algorithm can be applied to the limited-view inverse problem. However, this application is somehow heuristic; therefore, the theoretical background of the MUSIC algorithm must be considered beforehand. In this paper, we explore the least condition of MUSIC for guaranteeing the good imaging performance of extended cracks in two-dimensional space. Concerned explore is rely on the expression of imaging function with an infinite series of Bessel functions. Numerical simulations with noisy data verify out investigation.
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页码：1032 / 1037
页数：6
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