Speed Estimation in Forward Scattering Radar Using Standard Deviation and Improved Zero-Crossing Method

Current research on Forward Scattering Radar (FSR) dedicates to the target detection and classification. In the classification technique, the target’s speed information is required prior to the classification processes. Unfortunately, the speed is hidden inside the received signal and cannot be extr...

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Main Author:	Mohamed Sadig, Mutaz Salah
Format:	Thesis
Language:	English English
Published:	2009
Subjects:
Online Access:	http://psasir.upm.edu.my/id/eprint/7796/1/FK_2009_58A.pdf
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id	my-upm-ir.7796
record_format	uketd_dc
spelling	my-upm-ir.77962013-05-27T07:36:27Z Speed Estimation in Forward Scattering Radar Using Standard Deviation and Improved Zero-Crossing Method 2009 Mohamed Sadig, Mutaz Salah Current research on Forward Scattering Radar (FSR) dedicates to the target detection and classification. In the classification technique, the target’s speed information is required prior to the classification processes. Unfortunately, the speed is hidden inside the received signal and cannot be extracted directly. This is due to the loss in range resolution in FSR system. This is the main disadvantage of FSR. Thus, this thesis presents a work on speed estimation in FSR. Theory of FSR systems is briefly described together with practical experiments to evaluate the feasibility of such a system in real-life scenarios. The data collected from the practical experimentation and typical ground vehicle is used as the target (e.g. car, lorry). The overall speed estimation system is described. For vehicle speed estimation, two methods are proposed: the first method applies Standard Deviation (STD) theory to the raw radar signal. In the second method, the number of zero-crossing in the received signal is analyzed for speed estimation. On top of that, de-noising pre-processing is introduced to increase the accuracy of speed result. These two methods show a good result in estimating the vehicle speed crossing FSR baseline.From the analysis, speeds estimation using STD work best for high SNR value. By analyzing 917 experimentally obtained car signatures, the performance of the system is evaluated and the effectiveness of the system is confirmed. 2009 Thesis http://psasir.upm.edu.my/id/eprint/7796/ http://psasir.upm.edu.my/id/eprint/7796/1/FK_2009_58A.pdf application/pdf en public masters Universiti Putra Malaysia Faculty of Engineering English
institution	Universiti Putra Malaysia
collection	PSAS Institutional Repository
language	English English
topic
spellingShingle	Mohamed Sadig, Mutaz Salah Speed Estimation in Forward Scattering Radar Using Standard Deviation and Improved Zero-Crossing Method
description	Current research on Forward Scattering Radar (FSR) dedicates to the target detection and classification. In the classification technique, the target’s speed information is required prior to the classification processes. Unfortunately, the speed is hidden inside the received signal and cannot be extracted directly. This is due to the loss in range resolution in FSR system. This is the main disadvantage of FSR. Thus, this thesis presents a work on speed estimation in FSR. Theory of FSR systems is briefly described together with practical experiments to evaluate the feasibility of such a system in real-life scenarios. The data collected from the practical experimentation and typical ground vehicle is used as the target (e.g. car, lorry). The overall speed estimation system is described. For vehicle speed estimation, two methods are proposed: the first method applies Standard Deviation (STD) theory to the raw radar signal. In the second method, the number of zero-crossing in the received signal is analyzed for speed estimation. On top of that, de-noising pre-processing is introduced to increase the accuracy of speed result. These two methods show a good result in estimating the vehicle speed crossing FSR baseline.From the analysis, speeds estimation using STD work best for high SNR value. By analyzing 917 experimentally obtained car signatures, the performance of the system is evaluated and the effectiveness of the system is confirmed.
format	Thesis
qualification_level	Master's degree
author	Mohamed Sadig, Mutaz Salah
author_facet	Mohamed Sadig, Mutaz Salah
author_sort	Mohamed Sadig, Mutaz Salah
title	Speed Estimation in Forward Scattering Radar Using Standard Deviation and Improved Zero-Crossing Method
title_short	Speed Estimation in Forward Scattering Radar Using Standard Deviation and Improved Zero-Crossing Method
title_full	Speed Estimation in Forward Scattering Radar Using Standard Deviation and Improved Zero-Crossing Method
title_fullStr	Speed Estimation in Forward Scattering Radar Using Standard Deviation and Improved Zero-Crossing Method
title_full_unstemmed	Speed Estimation in Forward Scattering Radar Using Standard Deviation and Improved Zero-Crossing Method
title_sort	speed estimation in forward scattering radar using standard deviation and improved zero-crossing method
granting_institution	Universiti Putra Malaysia
granting_department	Faculty of Engineering
publishDate	2009
url	http://psasir.upm.edu.my/id/eprint/7796/1/FK_2009_58A.pdf
_version_	1747810708257505280

Speed Estimation in Forward Scattering Radar Using Standard Deviation and Improved Zero-Crossing Method

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