Application of Linear Algorithms for Reconstructing Complicated Targets from Experimental Data

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.