Ultra-Wideband for Communications: Spatial Characteristics and Interference Suppression

Ultra-Wideband Communication is increasingly being considered as an attractive solution for high data rate short range wireless and position location applications. Knowledge of the statistical nature of the channel is necessary to design wireless systems that provide optimum performance. This thesis...

Full description

Bibliographic Details
Main Author: Bharadwaj, Vivek
Other Authors: Electrical and Computer Engineering
Format: Others
Published: Virginia Tech 2014
Subjects:
Online Access:http://hdl.handle.net/10919/33183
http://scholar.lib.vt.edu/theses/available/etd-05242005-121848/
id ndltd-VTETD-oai-vtechworks.lib.vt.edu-10919-33183
record_format oai_dc
spelling ndltd-VTETD-oai-vtechworks.lib.vt.edu-10919-331832021-05-18T05:27:10Z Ultra-Wideband for Communications: Spatial Characteristics and Interference Suppression Bharadwaj, Vivek Electrical and Computer Engineering Buehrer, R. Michael Bostian, Charles W. Reed, Jeffrey H. Ultra-wideband selection diversity interference mitigation spatial channel modeling deconvolution antenna array Ultra-Wideband Communication is increasingly being considered as an attractive solution for high data rate short range wireless and position location applications. Knowledge of the statistical nature of the channel is necessary to design wireless systems that provide optimum performance. This thesis investigates the spatial characteristics of the channel based on measurements conducted using UWB pulses in an indoor office environment. The statistics of the received signal energy illustrate the low spatial fading of UWB signals. The distribution of the Angle of arrival (AOA) of the multipath components is obtained using a two-dimensional deconvolution algorithm called the Sensor-CLEAN algorithm. A spatial channel model that incorporates the spatial and temporal features of the channel is developed based on the AOA statistics. The performance of the Sensor-CLEAN algorithm is evaluated briefly by application to known artificial channels. UWB systems co-exist with narrowband and other wideband systems. Even though they enjoy the advantage of processing gain (the ratio of bandwidth to data rate) the low energy per pulse may cause these narrow band interferers (NBI) to severely degrade the UWB system's performance. A technique to suppress NBI using multiple antennas is presented in this thesis which exploits the spatial fading characteristics. This method exploits the vast difference in fading characteristics between UWB signals and NBI by implementing a simple selection diversity scheme. It is shown that this simple scheme can provide strong benefits in performance. Master of Science 2014-03-14T20:38:27Z 2014-03-14T20:38:27Z 2005-04-21 2005-05-24 2005-06-21 2005-06-21 Thesis etd-05242005-121848 http://hdl.handle.net/10919/33183 http://scholar.lib.vt.edu/theses/available/etd-05242005-121848/ Vivek_Bharadwaj_ETD.pdf In Copyright http://rightsstatements.org/vocab/InC/1.0/ application/pdf Virginia Tech
collection NDLTD
format Others
sources NDLTD
topic Ultra-wideband
selection diversity
interference mitigation
spatial channel modeling
deconvolution
antenna array
spellingShingle Ultra-wideband
selection diversity
interference mitigation
spatial channel modeling
deconvolution
antenna array
Bharadwaj, Vivek
Ultra-Wideband for Communications: Spatial Characteristics and Interference Suppression
description Ultra-Wideband Communication is increasingly being considered as an attractive solution for high data rate short range wireless and position location applications. Knowledge of the statistical nature of the channel is necessary to design wireless systems that provide optimum performance. This thesis investigates the spatial characteristics of the channel based on measurements conducted using UWB pulses in an indoor office environment. The statistics of the received signal energy illustrate the low spatial fading of UWB signals. The distribution of the Angle of arrival (AOA) of the multipath components is obtained using a two-dimensional deconvolution algorithm called the Sensor-CLEAN algorithm. A spatial channel model that incorporates the spatial and temporal features of the channel is developed based on the AOA statistics. The performance of the Sensor-CLEAN algorithm is evaluated briefly by application to known artificial channels. UWB systems co-exist with narrowband and other wideband systems. Even though they enjoy the advantage of processing gain (the ratio of bandwidth to data rate) the low energy per pulse may cause these narrow band interferers (NBI) to severely degrade the UWB system's performance. A technique to suppress NBI using multiple antennas is presented in this thesis which exploits the spatial fading characteristics. This method exploits the vast difference in fading characteristics between UWB signals and NBI by implementing a simple selection diversity scheme. It is shown that this simple scheme can provide strong benefits in performance. === Master of Science
author2 Electrical and Computer Engineering
author_facet Electrical and Computer Engineering
Bharadwaj, Vivek
author Bharadwaj, Vivek
author_sort Bharadwaj, Vivek
title Ultra-Wideband for Communications: Spatial Characteristics and Interference Suppression
title_short Ultra-Wideband for Communications: Spatial Characteristics and Interference Suppression
title_full Ultra-Wideband for Communications: Spatial Characteristics and Interference Suppression
title_fullStr Ultra-Wideband for Communications: Spatial Characteristics and Interference Suppression
title_full_unstemmed Ultra-Wideband for Communications: Spatial Characteristics and Interference Suppression
title_sort ultra-wideband for communications: spatial characteristics and interference suppression
publisher Virginia Tech
publishDate 2014
url http://hdl.handle.net/10919/33183
http://scholar.lib.vt.edu/theses/available/etd-05242005-121848/
work_keys_str_mv AT bharadwajvivek ultrawidebandforcommunicationsspatialcharacteristicsandinterferencesuppression
_version_ 1719405154565881856