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Time frequency analysis for wireless channel characterization / Zaiton Sharif

The ability to accurately characterize the wireless communication channel is essential for testing and designing any wireless communication systems. It fulfills the demand for a better quality of communication service in terms of higher bits rate and the use of spread spectrum technology. One of the...

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Main Author: Sharif, Zaiton
Format: Book Section
Language:English
Published: Institute of Graduate Studies, UiTM 2016
Subjects:
Malaysia
Online Access:http://ir.uitm.edu.my/id/eprint/19634/1/ABS_ZAITON%20SHARIF%20TDRA%20VOL%209%20IGS%2016.pdf
http://ir.uitm.edu.my/id/eprint/19634/
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spelling my.uitm.ir.196342018-06-07T04:04:41Z http://ir.uitm.edu.my/id/eprint/19634/ Time frequency analysis for wireless channel characterization / Zaiton Sharif Sharif, Zaiton Malaysia The ability to accurately characterize the wireless communication channel is essential for testing and designing any wireless communication systems. It fulfills the demand for a better quality of communication service in terms of higher bits rate and the use of spread spectrum technology. One of the challenges for wireless channel characterization is the need to demonstrate an appropriate method to characterize the wireless channel hence, effective channel mitigation technique can be developed to minimize deleterious effect arise from the channel namely the short terms variations due to multipath fading. This propagation environment affects the transmitted signal in terms of scattering, diffraction and reflection as it traveled towards the receiver causing the signals to be received distorted or interfered. Therefore, the central issue in this thesis is to determine appropriate techniques to characterize such a channel. A statistical property was adopted to represent properties of the channel which was categorized under wide sense stationary uncorrelated scattering (WSSUS) conditions. In achieving research objectives, four methods are employed namely Cross Correlation Function (CCF), Cross Ambiguity Function (CAF), Cross Wigner Ville Distribution (CWVD) and Cross S Transform (CST)… Institute of Graduate Studies, UiTM 2016 Book Section PeerReviewed text en http://ir.uitm.edu.my/id/eprint/19634/1/ABS_ZAITON%20SHARIF%20TDRA%20VOL%209%20IGS%2016.pdf Sharif, Zaiton (2016) Time frequency analysis for wireless channel characterization / Zaiton Sharif. In: The Doctoral Research Abstracts. IGS Biannual Publication, 9 (9). Institute of Graduate Studies, UiTM, Shah Alam.
institution Universiti Teknologi Mara
building Tun Abdul Razak Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Mara
content_source UiTM Institutional Repository
url_provider http://ir.uitm.edu.my/
language English
topic Malaysia
spellingShingle Malaysia
Sharif, Zaiton
Time frequency analysis for wireless channel characterization / Zaiton Sharif
description The ability to accurately characterize the wireless communication channel is essential for testing and designing any wireless communication systems. It fulfills the demand for a better quality of communication service in terms of higher bits rate and the use of spread spectrum technology. One of the challenges for wireless channel characterization is the need to demonstrate an appropriate method to characterize the wireless channel hence, effective channel mitigation technique can be developed to minimize deleterious effect arise from the channel namely the short terms variations due to multipath fading. This propagation environment affects the transmitted signal in terms of scattering, diffraction and reflection as it traveled towards the receiver causing the signals to be received distorted or interfered. Therefore, the central issue in this thesis is to determine appropriate techniques to characterize such a channel. A statistical property was adopted to represent properties of the channel which was categorized under wide sense stationary uncorrelated scattering (WSSUS) conditions. In achieving research objectives, four methods are employed namely Cross Correlation Function (CCF), Cross Ambiguity Function (CAF), Cross Wigner Ville Distribution (CWVD) and Cross S Transform (CST)…
format Book Section
author Sharif, Zaiton
author_facet Sharif, Zaiton
author_sort Sharif, Zaiton
title Time frequency analysis for wireless channel characterization / Zaiton Sharif
title_short Time frequency analysis for wireless channel characterization / Zaiton Sharif
title_full Time frequency analysis for wireless channel characterization / Zaiton Sharif
title_fullStr Time frequency analysis for wireless channel characterization / Zaiton Sharif
title_full_unstemmed Time frequency analysis for wireless channel characterization / Zaiton Sharif
title_sort time frequency analysis for wireless channel characterization / zaiton sharif
publisher Institute of Graduate Studies, UiTM
publishDate 2016
url http://ir.uitm.edu.my/id/eprint/19634/1/ABS_ZAITON%20SHARIF%20TDRA%20VOL%209%20IGS%2016.pdf
http://ir.uitm.edu.my/id/eprint/19634/
_version_ 1685649239111106560
score 13.211869

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