Delay and Doppler Spreads of Non-Stationary Vehicular Channels for Safety Relevant Scenarios
(2014) In IEEE Transactions on Vehicular Technology 63(1). p.82-93- Abstract
- 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:
    https://lup.lub.lu.se/record/4172759
- author
- 						Bernado, Laura
	; 						Zemen, Thomas
	; 						Tufvesson, Fredrik
				LU
				 ; 						Molisch, Andreas
				LU
	 and 						Mecklenbraäuker, Christoph ; 						Molisch, Andreas
				LU
	 and 						Mecklenbraäuker, Christoph
- organization
- publishing date
- 2014
- 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
- 2016-04-01 09:59:22
- date last changed
- 2025-10-14 09:48:54
@article{219d336a-1b0d-4946-a8a6-f06678a78856,
  abstract     = {{Abstract in Undetermined<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}},
  keywords     = {{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}},
  doi          = {{10.1109/TVT.2013.2271956}},
  volume       = {{63}},
  year         = {{2014}},
}