Application of Linear Algorithms for Reconstructing Complicated Targets from Experimental Data

Author

Miao, Jinghong ; Xie, Yuxing ; Li, Jianxiong ; Marklein, René

Author_Institution

Sch. of Inf. & Commun. Eng., Tianjin Polytech. Univ., Tianjin, China

fYear

2011

fDate

16-17 July 2011

Firstpage

26

Lastpage

28

Abstract

In this paper two linear algorithms, the multiple signal classification (MUSIC) algorithm combined with time reversal imaging and the synthetic aperture focussing technique (SAFT), are applied to reconstruct two complicated targets. One target is in an anechoic chamber from experimental microwave data and the other is immersed in water from the experimental elastic wave data. Inversion results from these datasets using the multi frequency multi-bistatic measurement, verify the MUSIC algorithm and SAFT are both promising methods for real time imaging.

Keywords

anechoic chambers (electromagnetic); image classification; image reconstruction; MUSIC algorithm; anechoic chamber; complicated target reconstruction; experimental elastic wave data; experimental microwave data; image reconstruction; linear algorithms; multifrequency multibistatic measurement; multiple signal classification algorithm; real time imaging; synthetic aperture focussing technique; time reversal imaging; Classification algorithms; Image reconstruction; Inverse problems; Microwave imaging; Multiple signal classification; Signal processing algorithms; multiple signal classification (MUSIC); synthetic aperture focussing technique (SAFT); time reversal imaging;

fLanguage

English

Publisher

ieee

Conference_Titel

Computer Science and Society (ISCCS), 2011 International Symposium on

Conference_Location

Kota Kinabalu

Print_ISBN

978-1-4577-0644-8

Type

conf

DOI

10.1109/ISCCS.2011.15

Filename

6004256