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A modified Fresnel-based algorithm for 3D microwave imaging of metal objects

Published online by Cambridge University Press:  12 September 2018

Farshad Zamiri
Affiliation:
Faculty of Electrical and Computer Eng., Tarbiat Modares University, Tehran, Iran
Abdolreza Nabavi*
Affiliation:
Faculty of Electrical and Computer Eng., Tarbiat Modares University, Tehran, Iran
*
Author for correspondence: Abdolreza Nabavi, E-mail: [email protected]

Abstract

Microwave holography technique reconstructs a target image using recorded amplitudes and phases of the signals reflected from the target with Fast Fourier Transform (FFT)-based algorithms. The reconstruction algorithms have two or more steps of two- and three-dimensional Fourier transforms, which have a high computational load. In this paper, by neglecting the impact of target depth on image reconstruction, an efficient Fresnel-based algorithm is proposed, involving only one-step FFT for both single- and multi-frequency microwave imaging. Numerous tests have been performed to show the effectiveness of the proposed algorithm including planar and non-planar targets, using the raw data gathered by means of a scanner operating in X-band. Finally, a low-cost and high-speed hardware architecture based on fixed-point arithmetic is introduced which reconstructs the planar targets. This pipeline architecture was tested on field programmable gate arrays operating at 200 MHz clock frequency, which illustrates more than 30 times improvement in computation time compared with a computer.

Type
Research Papers
Copyright
Copyright © Cambridge University Press and the European Microwave Association 2018 

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