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Ground Target Detection in Forward Scattering Radar Using Hilbert Transform and Wavelet Techniques

This thesis analyzed the electromagnetic signal scattered from the target crossing the Forward Scattering Radar system baseline. The aim of the analysis was to extract the Doppler signal of the target, under the influence of high ground clutter and noise interference. The scattered Doppler signal wa...

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Main Author: Alla.H.M.H, Mohamed Khalaf
Format: Thesis
Language:English
English
Published: 2009
Online Access:http://psasir.upm.edu.my/id/eprint/7797/1/FK_2009_60A.pdf
http://psasir.upm.edu.my/id/eprint/7797/
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spelling my.upm.eprints.77972013-05-27T07:36:28Z http://psasir.upm.edu.my/id/eprint/7797/ Ground Target Detection in Forward Scattering Radar Using Hilbert Transform and Wavelet Techniques Alla.H.M.H, Mohamed Khalaf This thesis analyzed the electromagnetic signal scattered from the target crossing the Forward Scattering Radar system baseline. The aim of the analysis was to extract the Doppler signal of the target, under the influence of high ground clutter and noise interference. The scattered Doppler signal was processed by the proposed signal processing techniques to predict the existence of a target for the automatic target detection (ATD) in the FSR system. This thesis is dedicated to the detection of ground target, and for this purpose, a typical car was used as target. Two signal processing techniques, namely Hilbert Transform and Wavelet Technique, were used for target detection. The results gathered in this study showed that the detection using Hilbert Transform was only applicable for some conditions and it was used to confirm the wavelet efficiency in the detection process. Similarly, it was also found that the detection using Wavelet Technique became more robust to higher clutter and noise level. At the worst condition of the scenario, the successful detection rate is more than 75%. This good result suggest that the transmit signal can be as low as possible and open a new horizons for FSR to be applied in real applications for example in Radar Sensor Network and Microwave Fence .Two sets of field experimentations were carried out, and the target’s signal under the influence of the high clutter was successfully detected using the proposed method. Finally, an algorithm for an automatic detection of the ground target detection in FSR is proposed. 2009 Thesis NonPeerReviewed application/pdf en http://psasir.upm.edu.my/id/eprint/7797/1/FK_2009_60A.pdf Alla.H.M.H, Mohamed Khalaf (2009) Ground Target Detection in Forward Scattering Radar Using Hilbert Transform and Wavelet Techniques. Masters thesis, Universiti Putra Malaysia. English
institution Universiti Putra Malaysia
building UPM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Putra Malaysia
content_source UPM Institutional Repository
url_provider http://psasir.upm.edu.my/
language English
English
description This thesis analyzed the electromagnetic signal scattered from the target crossing the Forward Scattering Radar system baseline. The aim of the analysis was to extract the Doppler signal of the target, under the influence of high ground clutter and noise interference. The scattered Doppler signal was processed by the proposed signal processing techniques to predict the existence of a target for the automatic target detection (ATD) in the FSR system. This thesis is dedicated to the detection of ground target, and for this purpose, a typical car was used as target. Two signal processing techniques, namely Hilbert Transform and Wavelet Technique, were used for target detection. The results gathered in this study showed that the detection using Hilbert Transform was only applicable for some conditions and it was used to confirm the wavelet efficiency in the detection process. Similarly, it was also found that the detection using Wavelet Technique became more robust to higher clutter and noise level. At the worst condition of the scenario, the successful detection rate is more than 75%. This good result suggest that the transmit signal can be as low as possible and open a new horizons for FSR to be applied in real applications for example in Radar Sensor Network and Microwave Fence .Two sets of field experimentations were carried out, and the target’s signal under the influence of the high clutter was successfully detected using the proposed method. Finally, an algorithm for an automatic detection of the ground target detection in FSR is proposed.
format Thesis
author Alla.H.M.H, Mohamed Khalaf
spellingShingle Alla.H.M.H, Mohamed Khalaf
Ground Target Detection in Forward Scattering Radar Using Hilbert Transform and Wavelet Techniques
author_facet Alla.H.M.H, Mohamed Khalaf
author_sort Alla.H.M.H, Mohamed Khalaf
title Ground Target Detection in Forward Scattering Radar Using Hilbert Transform and Wavelet Techniques
title_short Ground Target Detection in Forward Scattering Radar Using Hilbert Transform and Wavelet Techniques
title_full Ground Target Detection in Forward Scattering Radar Using Hilbert Transform and Wavelet Techniques
title_fullStr Ground Target Detection in Forward Scattering Radar Using Hilbert Transform and Wavelet Techniques
title_full_unstemmed Ground Target Detection in Forward Scattering Radar Using Hilbert Transform and Wavelet Techniques
title_sort ground target detection in forward scattering radar using hilbert transform and wavelet techniques
publishDate 2009
url http://psasir.upm.edu.my/id/eprint/7797/1/FK_2009_60A.pdf
http://psasir.upm.edu.my/id/eprint/7797/
_version_ 1643823829506588672
score 13.211869

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