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Grant support

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].

Analysis of institutional authors

Perez Yuste, AntonioAuthor

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June 9, 2019
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Hough-Transform-Based Cluster Identification and Modeling for V2V Channels Based on Measurements

Publicated to:Ieee Transactions On Vehicular Technology. 67 (5): 3838-3852 - 2018-05-01 67(5), DOI: 10.1109/TVT.2017.2787731

Authors: Cai, Xuesong; Peng, Bile; Yin, Xuefeng; Perez Yuste, Antonio

Affiliations

Tech Univ Carolo Wilhelmina Braunschweig, Inst Nachrichtentech, D-38106 Braunschweig, Germany - Author
Tech Univ Madrid, Sch Telecommun Engn, Madrid 28040, Spain - Author
Tongji Univ, Coll Elect & Informat Engn, Shanghai 201804, Peoples R China - Author

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 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.

Keywords

Band channelChannel measurementChannel modeling and clustered delay line modelCluster identificationGhzHough transformPowerVehicle to vehicle

Quality index

Bibliometric impact. Analysis of the contribution and dissemination channel

The work has been published in the journal Ieee Transactions On Vehicular Technology due to its progression and the good impact it has achieved in recent years, according to the agency WoS (JCR), it has become a reference in its field. In the year of publication of the work, 2018, it was in position 30/266, thus managing to position itself as a Q1 (Primer Cuartil), in the category Engineering, Electrical & Electronic.

From a relative perspective, and based on the normalized impact indicator calculated from World Citations provided by WoS (ESI, Clarivate), it yields a value for the citation normalization relative to the expected citation rate of: 1.41. This indicates that, compared to works in the same discipline and in the same year of publication, it ranks as a work cited above average. (source consulted: ESI Nov 14, 2024)

This information is reinforced by other indicators of the same type, which, although dynamic over time and dependent on the set of average global citations at the time of their calculation, consistently position the work at some point among the top 50% most cited in its field:

  • Weighted Average of Normalized Impact by the Scopus agency: 1.56 (source consulted: FECYT Feb 2024)
  • Field Citation Ratio (FCR) from Dimensions: 12.7 (source consulted: Dimensions Jul 2025)

Specifically, and according to different indexing agencies, this work has accumulated citations as of 2025-07-05, the following number of citations:

  • WoS: 33
  • Scopus: 39

Impact and social visibility

From the perspective of influence or social adoption, and based on metrics associated with mentions and interactions provided by agencies specializing in calculating the so-called "Alternative or Social Metrics," we can highlight as of 2025-07-05:

  • The use of this contribution in bookmarks, code forks, additions to favorite lists for recurrent reading, as well as general views, indicates that someone is using the publication as a basis for their current work. This may be a notable indicator of future more formal and academic citations. This claim is supported by the result of the "Capture" indicator, which yields a total of: 19 (PlumX).

With a more dissemination-oriented intent and targeting more general audiences, we can observe other more global scores such as:

    Leadership analysis of institutional authors

    This work has been carried out with international collaboration, specifically with researchers from: China; Germany.

    There is a significant leadership presence as some of the institution’s authors appear as the first or last signer, detailed as follows: Last Author (PEREZ YUSTE, ANTONIO).