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An adaptive approach for the detection of contrast targets for the through-wall imaging

Published online by Cambridge University Press:  12 July 2022

Mandar K. Bivalkar Open the ORCID record for Mandar K. Bivalkar [Opens in a new window] ,
Sashwat Pandey  and
Dharmendra Singh Open the ORCID record for Dharmendra Singh [Opens in a new window]
Mandar K. Bivalkar
Affiliation:
Microwave Imaging and Space Technology Application Laboratory (MISTAL), Department of Electronics and Communication Engineering, Indian Institute of Technology Roorkee, Roorkee, Uttarakhand 247667, India
Sashwat Pandey
Affiliation:
Microwave Imaging and Space Technology Application Laboratory (MISTAL), Department of Electronics and Communication Engineering, Indian Institute of Technology Roorkee, Roorkee, Uttarakhand 247667, India
Dharmendra Singh*
Affiliation:
Microwave Imaging and Space Technology Application Laboratory (MISTAL), Department of Electronics and Communication Engineering, Indian Institute of Technology Roorkee, Roorkee, Uttarakhand 247667, India
*
Author for correspondence: Dharmendra Singh, E-mail: dharmfec@gmail.com
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Abstract

Through-wall imaging is capable of detecting various living and non-living things behind the wall. The characteristics of the wall under the investigation, amount of clutter and noise govern the quality and reliability of the image as well as the detection ability of the targets using through the wall imaging system. The characteristics of the wall are not known prior, in the literature only the intensity profile is investigated for the unknown wall characteristics using a single dielectric target and the effect of the wall characteristics on the contrast imaging and impact on time or frequency domain features are not investigated. The target with less dielectric is having less reflectivity; hence its detection in the presence of a high reflective target and a noisy environment becomes difficult. In this paper, to enhance the detection ability of the imaging system attenuation constant (α) of the wall is estimated with the proposed wall parameter estimation methods and used as a normalizing factor. To achieve effective beamforming different weighting strategies are developed and the obtained images are compared with the traditional beamforming. Furthermore, a novel approach to finding the effective rank in the low-rank estimation using a statistical model and multi-objective genetic algorithm is proposed for de-noising.

Keywords

Through wall imagingwall parameter estimationgenetic algorithmmicrowave imaging
Type
Radar
Information
International Journal of Microwave and Wireless Technologies , Volume 15 , Issue 3 , April 2023 , pp. 424 - 439
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Copyright
Copyright © The Author(s), 2022. Published by Cambridge University Press in association with the European Microwave Association

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