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Delay and Doppler Spreads of Non-Stationary Vehicular Channels for Safety Relevant Scenarios

Bernado, Laura; Zemen, Thomas; Tufvesson, Fredrik LU ; Molisch, Andreas LU and Mecklenbraäuker, Christoph (2014) In IEEE Transactions on Vehicular Technology 63(1). p.82-93
Abstract (Swedish)
Abstract in Undetermined

Vehicular communication channels are characterized by a nonstationary time-frequency-selective fading process due to rapid changes in the environment. The nonstationary fading process can be characterized by assuming local stationarity for a region with finite extent in time and frequency. For this finite region, the wide-sense stationarity and uncorrelated scattering assumption approximately holds, and we are able to calculate a time-frequency-dependent local scattering function (LSF). In this paper, we estimate the LSF from a large set of measurements collected in the DRIVEWAY'09 measurement campaign, which focuses on scenarios for intelligent transportation systems (ITSs). We then obtain the... (More)
Abstract in Undetermined

Vehicular communication channels are characterized by a nonstationary time-frequency-selective fading process due to rapid changes in the environment. The nonstationary fading process can be characterized by assuming local stationarity for a region with finite extent in time and frequency. For this finite region, the wide-sense stationarity and uncorrelated scattering assumption approximately holds, and we are able to calculate a time-frequency-dependent local scattering function (LSF). In this paper, we estimate the LSF from a large set of measurements collected in the DRIVEWAY'09 measurement campaign, which focuses on scenarios for intelligent transportation systems (ITSs). We then obtain the time-frequency-varying power delay profile (PDP) and the time-frequency-varying Doppler power spectral density (DSD) from the LSF. Based on the PDP and the DSD, we analyze the time-frequency-varying root-mean-square (RMS) delay spread and the RMS Doppler spread. We show that the distribution of these channel parameters follows a bimodal Gaussian mixture distribution. High RMS delay spread values are observed in situations with rich scattering, whereas high RMS Doppler spreads are obtained in drive-by scenarios. (Less)
Please use this url to cite or link to this publication:
author
organization
publishing date
type
Contribution to journal
publication status
published
subject
keywords
Channel characterization, RMS Doppler spread, RMS delay spread, channel measurements, non-WSSUS, vehicle-to-vehicle, vehicular communications
in
IEEE Transactions on Vehicular Technology
volume
63
issue
1
pages
82 - 93
publisher
IEEE--Institute of Electrical and Electronics Engineers Inc.
external identifiers
  • wos:000330114300009
  • scopus:84893426746
ISSN
1939-9359
DOI
10.1109/TVT.2013.2271956
language
English
LU publication?
yes
id
219d336a-1b0d-4946-a8a6-f06678a78856 (old id 4172759)
alternative location
http://arxiv.org/abs/1305.3376
date added to LUP
2013-11-20 10:55:53
date last changed
2017-10-01 03:04:34
@article{219d336a-1b0d-4946-a8a6-f06678a78856,
  abstract     = {<b>Abstract in Undetermined</b><br/><br>
Vehicular communication channels are characterized by a nonstationary time-frequency-selective fading process due to rapid changes in the environment. The nonstationary fading process can be characterized by assuming local stationarity for a region with finite extent in time and frequency. For this finite region, the wide-sense stationarity and uncorrelated scattering assumption approximately holds, and we are able to calculate a time-frequency-dependent local scattering function (LSF). In this paper, we estimate the LSF from a large set of measurements collected in the DRIVEWAY'09 measurement campaign, which focuses on scenarios for intelligent transportation systems (ITSs). We then obtain the time-frequency-varying power delay profile (PDP) and the time-frequency-varying Doppler power spectral density (DSD) from the LSF. Based on the PDP and the DSD, we analyze the time-frequency-varying root-mean-square (RMS) delay spread and the RMS Doppler spread. We show that the distribution of these channel parameters follows a bimodal Gaussian mixture distribution. High RMS delay spread values are observed in situations with rich scattering, whereas high RMS Doppler spreads are obtained in drive-by scenarios.},
  author       = {Bernado, Laura and Zemen, Thomas and Tufvesson, Fredrik and Molisch, Andreas and Mecklenbraäuker, Christoph},
  issn         = {1939-9359},
  keyword      = {Channel characterization,RMS Doppler spread,RMS delay spread,channel measurements,non-WSSUS,vehicle-to-vehicle,vehicular communications},
  language     = {eng},
  number       = {1},
  pages        = {82--93},
  publisher    = {IEEE--Institute of Electrical and Electronics Engineers Inc.},
  series       = {IEEE Transactions on Vehicular Technology},
  title        = {Delay and Doppler Spreads of Non-Stationary Vehicular Channels for Safety Relevant Scenarios},
  url          = {http://dx.doi.org/10.1109/TVT.2013.2271956},
  volume       = {63},
  year         = {2014},
}