Detection and Localization of Object using Forward-Backward Time-Stepping for Through-wall Imaging Application

Detection and Localization of Object using Forward-Backward Time-Stepping for Through-wall Imaging Application

Through-wall imaging (TWI) is one of the largest microwave application nowadays. It is able to locate and reconstruct the image of an object hidden behind the walls. However, wall clutter in the TWI system is one of the main problem other than noise. It causes distortion and erroneous image reconstr...

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Main Author: Mohamad Faizal, Mahsen
Format: Thesis
Language:English
Published: 2019
Subjects:
TA Engineering (General)
Civil engineering (General)
Online Access:http://ir.unimas.my/id/eprint/31492/4/Mohamad%20Faizal%20full.pdf
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id my-unimas-ir.31492
record_format uketd_dc
institution Universiti Malaysia Sarawak
collection UNIMAS Institutional Repository
language English
topic TA Engineering (General)
Civil engineering (General)
TA Engineering (General)
Civil engineering (General)
spellingShingle TA Engineering (General)
Civil engineering (General)
TA Engineering (General)
Civil engineering (General)
Mohamad Faizal, Mahsen
Detection and Localization of Object using Forward-Backward Time-Stepping for Through-wall Imaging Application
description Through-wall imaging (TWI) is one of the largest microwave application nowadays. It is able to locate and reconstruct the image of an object hidden behind the walls. However, wall clutter in the TWI system is one of the main problem other than noise. It causes distortion and erroneous image reconstruction of a hidden object. In this research, the forward-backward time stepping (FBTS) technique has been employed and integrated with Wall Direct Subtraction (WDS) to mitigate the wall clutter. Wall clutter are effectively reduced by the proposed method for through homogenous (99.59%) and heterogeneous (94.62%) walls, in medium, respectively. The work has included well reconstruct images of the hidden object with different shape, size and location. When Gaussian random noise added in the TWI simulation setup, the image reconstruction of an object would show severe distortion in its shape and composition. Thus, the Singular Value Decomposition (SVD) based filter specifically Singular Value Elimination and Savitzky-Golay filter (SVE-SG) method are used to reduce the noise. SVE-SG performed in time-domain to avoid data shifting and frequency domain conversion. The performance of SVE-SG method is shown with lower mean square error (MSE) values. It provides improvement from 22.65% to 83.00% when SVE-SG method applied through different wall thickness and electrical properties. At different noise levels, SVE-SG improves noise reduction in the range of 3.25% to 42.23%.
format Thesis
qualification_level Master's degree
author Mohamad Faizal, Mahsen
author_facet Mohamad Faizal, Mahsen
author_sort Mohamad Faizal, Mahsen
title Detection and Localization of Object using Forward-Backward Time-Stepping for Through-wall Imaging Application
title_short Detection and Localization of Object using Forward-Backward Time-Stepping for Through-wall Imaging Application
title_full Detection and Localization of Object using Forward-Backward Time-Stepping for Through-wall Imaging Application
title_fullStr Detection and Localization of Object using Forward-Backward Time-Stepping for Through-wall Imaging Application
title_full_unstemmed Detection and Localization of Object using Forward-Backward Time-Stepping for Through-wall Imaging Application
title_sort detection and localization of object using forward-backward time-stepping for through-wall imaging application
granting_institution Universiti Malaysia Sarawak
granting_department Faculty of Engineering
publishDate 2019
url http://ir.unimas.my/id/eprint/31492/4/Mohamad%20Faizal%20full.pdf
_version_ 1783728402819186688
spelling my-unimas-ir.314922023-03-21T08:50:56Z Detection and Localization of Object using Forward-Backward Time-Stepping for Through-wall Imaging Application 2019-08-05 Mohamad Faizal, Mahsen TA Engineering (General). Civil engineering (General) TK Electrical engineering. Electronics Nuclear engineering Through-wall imaging (TWI) is one of the largest microwave application nowadays. It is able to locate and reconstruct the image of an object hidden behind the walls. However, wall clutter in the TWI system is one of the main problem other than noise. It causes distortion and erroneous image reconstruction of a hidden object. In this research, the forward-backward time stepping (FBTS) technique has been employed and integrated with Wall Direct Subtraction (WDS) to mitigate the wall clutter. Wall clutter are effectively reduced by the proposed method for through homogenous (99.59%) and heterogeneous (94.62%) walls, in medium, respectively. The work has included well reconstruct images of the hidden object with different shape, size and location. When Gaussian random noise added in the TWI simulation setup, the image reconstruction of an object would show severe distortion in its shape and composition. Thus, the Singular Value Decomposition (SVD) based filter specifically Singular Value Elimination and Savitzky-Golay filter (SVE-SG) method are used to reduce the noise. SVE-SG performed in time-domain to avoid data shifting and frequency domain conversion. The performance of SVE-SG method is shown with lower mean square error (MSE) values. It provides improvement from 22.65% to 83.00% when SVE-SG method applied through different wall thickness and electrical properties. At different noise levels, SVE-SG improves noise reduction in the range of 3.25% to 42.23%. 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