Authors: Guillermo AcostaMarum Mary Ann Ingram
Publish Date: 2006/05/16
Volume: 37, Issue: 3-4, Pages: 421-443
Abstract
Statistical channel models based on BER performance are presented for a frequency and timeselective vehicletovehicle wireless communications link in an expressway environment in Atlanta Georgia where both vehicles traveled in the same direction The models are developed from measurements taken using the direct sequence spread spectrum DSSS technique at 245GHz A collection of tapped delay line models referred to as a “partitioned” model in the paper is developed to attempt to capture the extremes of BER performance of the recorded channel Overall and partition models are compared to the recorded channel in terms of the BER statistics obtained when the channels are inserted in a dedicated short range radio DSRC standard simulation system The quality of the match between synthesized and recorded channel BER statistics is analyzed with respect to type of modulation fixed or adaptive the frame length and the length of the interval over which the BER was calculatedGuillermo Acosta was born in Mexico City Mexico in 1962 He is a PhD Candidate and a graduate research assistant in the School of Electrical and Computer Engineering at the Georgia Institute of Technology in Atlanta Georgia He obtained his Bachelor of Engineering with Honors and Master of Engineering both in Electrical Engineering from Stevens Institute of Technology Hoboken New Jersey in 1985 and 1987 respectively He also obtained a Master of Business Administration with Honors from the Instituto Tecnologico Autonomo de Mexico ITAM Mexico City Mexico in 1996 Mr Acosta has held technical and managerial positions in the recording radio and TV industries and in the Communications Ministry of Mexico He has been an adjunct instructor in Electrical Engineering in the Instituto Tecnologico y Estudios Superiores de Monterrey Campus Estado de Mexico ITESMCEM and the Universidad Iberoamericana He is member of the IEEE INCE Tau Beta Pi and Eta Kappa NuMary Ann Ingram received the BEE and PhD degrees from the Georgia Institute of Technology in Atlanta Georgia in 1983 and 1989 respectively From 1983 to 1986 she was a Research Engineer with the Georgia Tech Research Institute in Atlanta performing studies on radar electronic countermeasure ECM systems In 1986 she became a graduate research assistant with the School of Electrical and Computer Engineering at the Georgia Institute of Technology where in 1989 she became a Faculty Member and is currently Professor Her early research areas were optical communications and radar systems In 1997 she established the Smart Antenna Research Laboratory SARL which emphasizes the application of multiple antennas to wireless communication systems The SARL performs system analysis and design channel measurement and prototyping relating to a wide range of wireless applications including wireless local area network WLAN and satellite communications with focus on the lower layers of communication networks Dr Ingram is a Senior Member of the IEEE
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