Hough-transform-based cluster identification and modeling for V2V channels based on measurements
(2018) In IEEE Transactions on Vehicular Technology 67(5). p.3838-3852- Abstract
In this paper, a recently conducted measurement campaign for vehicle-to-vehicle (V2V) propagation channel characterization is introduced. Two vehicles carrying a transmitter and a receiver, respectively, have been driven along an eight-lane road with heavy traffic. The measurement was conducted with 100 MHz signal bandwidth at a carrier frequency of 5.9 GHz. Channels are observed consisting of two kinds of channel components, i.e., time-evolving clusters and clutter paths. A novel approach based on Hough transform is proposed to identify the clusters. Based on the cluster identification results, channel characteristics in composite, intracluster, and time-variant levels are analyzed. The parameters investigated include the composite... (More)
In this paper, a recently conducted measurement campaign for vehicle-to-vehicle (V2V) propagation channel characterization is introduced. Two vehicles carrying a transmitter and a receiver, respectively, have been driven along an eight-lane road with heavy traffic. The measurement was conducted with 100 MHz signal bandwidth at a carrier frequency of 5.9 GHz. Channels are observed consisting of two kinds of channel components, i.e., time-evolving clusters and clutter paths. A novel approach based on Hough transform is proposed to identify the clusters. Based on the cluster identification results, channel characteristics in composite, intracluster, and time-variant levels are analyzed. The parameters investigated include the composite root-mean-square (RMS) delay spreads and power decay versus delay behaviors of clusters and clutter paths, cluster RMS delay spread, cluster RMS Doppler frequency spread, correlations of cluster parameters, and coherence time of parameters of interest. The statistics constitute an empirical stochastic clustered-delay-line channel model focusing on the wideband characteristics observed in the realistic time-variant V2V propagation scenario.
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- author
- Cai, Xuesong LU ; Peng, Bile ; Yin, Xuefeng and Yuste, Antonio Pérez
- publishing date
- 2018-05
- type
- Contribution to journal
- publication status
- published
- subject
- keywords
- Channel measurement, Channel modeling and clustered delay line model, Cluster identification, Hough transform, Vehicle to vehicle
- in
- IEEE Transactions on Vehicular Technology
- volume
- 67
- issue
- 5
- pages
- 15 pages
- publisher
- IEEE - Institute of Electrical and Electronics Engineers Inc.
- external identifiers
-
- scopus:85040058828
- ISSN
- 0018-9545
- DOI
- 10.1109/TVT.2017.2787731
- language
- English
- LU publication?
- no
- additional info
- Funding Information: Manuscript received July 2, 2017; revised November 7, 2017 and December 19, 2017; accepted December 22, 2017. Date of publication December 27, 2017; date of current version May 14, 2018. This work was supported in part by the National Natural Science Foundation of China (NSFC) under the general project Grant 61471268 and a key-program Grant 61331009, in part by the China Ministry of Industry and Information Technology through the Key Project 5G Ka Frequency Bands and Higher and Lower Frequency Band Cooperative Trail System Research and Development under Grant 2016ZX03001015, and in part by the Institute for Information & communications Technology Promotion (IITP) grant funded by the Korean government (MSIT) [2017-0-00066, “Development of time-space based spectrum engineering technologies for the preemptive using of frequency”]. The review of this paper was coordinated by Dr. D. W. Matolak. (Corresponding author: Xuefeng Yin.) X. Cai and X. Yin are with the College of Electronics and Information Engineering, Tongji University, Shanghai 201804, China (e-mail: caixuesong@ tongji.edu.cn; yinxuefeng@tongji.edu.cn). Publisher Copyright: © 1967-2012 IEEE.
- id
- a0bc6fee-914f-479d-9f85-3702bd9ad756
- date added to LUP
- 2021-11-22 22:47:22
- date last changed
- 2022-04-27 06:05:41
@article{a0bc6fee-914f-479d-9f85-3702bd9ad756,
abstract = {{<p>In this paper, a recently conducted measurement campaign for vehicle-to-vehicle (V2V) propagation channel characterization is introduced. Two vehicles carrying a transmitter and a receiver, respectively, have been driven along an eight-lane road with heavy traffic. The measurement was conducted with 100 MHz signal bandwidth at a carrier frequency of 5.9 GHz. Channels are observed consisting of two kinds of channel components, i.e., time-evolving clusters and clutter paths. A novel approach based on Hough transform is proposed to identify the clusters. Based on the cluster identification results, channel characteristics in composite, intracluster, and time-variant levels are analyzed. The parameters investigated include the composite root-mean-square (RMS) delay spreads and power decay versus delay behaviors of clusters and clutter paths, cluster RMS delay spread, cluster RMS Doppler frequency spread, correlations of cluster parameters, and coherence time of parameters of interest. The statistics constitute an empirical stochastic clustered-delay-line channel model focusing on the wideband characteristics observed in the realistic time-variant V2V propagation scenario.</p>}},
author = {{Cai, Xuesong and Peng, Bile and Yin, Xuefeng and Yuste, Antonio Pérez}},
issn = {{0018-9545}},
keywords = {{Channel measurement; Channel modeling and clustered delay line model; Cluster identification; Hough transform; Vehicle to vehicle}},
language = {{eng}},
number = {{5}},
pages = {{3838--3852}},
publisher = {{IEEE - Institute of Electrical and Electronics Engineers Inc.}},
series = {{IEEE Transactions on Vehicular Technology}},
title = {{Hough-transform-based cluster identification and modeling for V2V channels based on measurements}},
url = {{http://dx.doi.org/10.1109/TVT.2017.2787731}},
doi = {{10.1109/TVT.2017.2787731}},
volume = {{67}},
year = {{2018}},
}