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Comparing the imaging performance of MUSIC and Linear Sampling method

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Sangwoo Kang; Won-Kwang Park
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Abstract:

The MUltiple SIgnal Classification - MUSIC - algorithm and the Linear Sampling - LS - method are fast, stable, and effective non-iterative imaging techniques in inverse s...Show More

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Abstract:

The MUltiple SIgnal Classification - MUSIC - algorithm and the Linear Sampling - LS - method are fast, stable, and effective non-iterative imaging techniques in inverse scattering problem. In fact, some previous studies indicated that the linear sampling method is an extended version of MUSIC. However, numerical results in support of this assertion have not been provided. In this contribution, we compare the imaging performance of MUSIC with that of the LS method with noisy data and underpin the above assertion.
Published in: 2016 9th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI)
Date of Conference: 15-17 October 2016
Date Added to IEEE Xplore: 16 February 2017
ISBN Information:
DOI: 10.1109/CISP-BMEI.2016.7852916
Conference Location: Datong, China
References is not available for this document.
Contents

I. Introduction

A recently developed MUSIC-type algorithm aims to retrieve perfectly conducting cracks at a fixed single frequency. According to [12], the MUSIC algorithm is very fast, stable, and efficient. Moreover, it can be easily extended to multiple targets.

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