Lin Cheng, Benjamin E. Henty, Daniel D. Stancil, Fan Bai, and Priyantha Mudalige. Mobile Vehicle-to-Vehicle Narrow-Band Channel Measurement and Characterization of the 5.9 GHz Dedicated Short Range Communication (DSRC) Frequency Band. IEEE Journal on Selected Areas in Communications, 25(8):1501–1516, October 2007.
This study presents narrow-band measurements of the mobile vehicle-to-vehicle propagation channel at 5.9 GHz, under realistic suburban driving conditions in Pittsburgh, Pennsylvania. Our system includes differential Global Positioning System (DGPS) receivers, thereby enabling dynamic measurements of how large-scale path loss, Doppler spectrum, and coherence time depend on vehicle location and separation. A Nakagami distribution is used for describing the fading statistics. The speed-separation diagram is introduced as a new tool for analyzing and understanding the vehicle-to-vehicle propagation environment. We show that this diagram can be used to model and predict channel Doppler spread and coherence time using vehicle speed and separation.
@ARTICLE{henty_jsac_2007,
author = {Lin Cheng and Benjamin E. Henty and Daniel D. Stancil and Fan Bai
and Priyantha Mudalige},
title = {Mobile Vehicle-to-Vehicle Narrow-Band Channel Measurement and Characterization
of the 5.9 GHz Dedicated Short Range Communication (DSRC) Frequency
Band},
journal = {IEEE Journal on Selected Areas in Communications},
year = {2007},
volume = {25},
pages = {1501-1516},
number = {8},
month = oct,
abstract = {This study presents narrow-band measurements of the mobile vehicle-to-vehicle
propagation channel at 5.9 GHz, under realistic suburban driving
conditions in Pittsburgh, Pennsylvania. Our system includes differential
Global Positioning System (DGPS) receivers, thereby enabling dynamic
measurements of how large-scale path loss, Doppler spectrum, and
coherence time depend on vehicle location and separation. A Nakagami
distribution is used for describing the fading statistics. The speed-separation
diagram is introduced as a new tool for analyzing and understanding
the vehicle-to-vehicle propagation environment. We show that this
diagram can be used to model and predict channel Doppler spread and
coherence time using vehicle speed and separation.},
doi = {10.1109/JSAC.2007.071002},
owner = {henty},
timestamp = {2010.02.09},
url = {http://ieeexplore.ieee.org/xpl/freeabs_all.jsp?arnumber=4346439}
}
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