A BER-Based Partitioned Model for a 2.4GHz Vehicle-to-Vehicle Expressway Channel

Authors:
Guillermo Acosta-Marum;Mary Ann Ingram
Affiliations:
School of Electrical and Computer Engineering, Georgia Institute of Technology, Atlanta, USA 30332-0250;School of Electrical and Computer Engineering, Georgia Institute of Technology, Atlanta, USA 30332-0250
Venue:
Wireless Personal Communications: An International Journal
Year:
2006

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Abstract

Statistical channel models based on BER performance are presented for a frequency- and time-selective vehicle-to-vehicle 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 2.45GHz. 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 calculated.