Evaluation of a Switched Combining Based Distributed Antenna System (DAS) for Pedestrian-to-Vehicle Communications

Allbwn ymchwil: Cyfraniad at gyfnodolynErthygladolygiad gan gymheiriaid

Fersiynau electronig

Dogfennau

Dangosydd eitem ddigidol (DOI)

  • Seong Ki Yoo
    Coventry Business School, Coventry University, UK
  • Simon L. Cotton
    Queen's University, Belfast
  • Lei Zhang
    Queen's University, Belfast
  • Michael G. Doone
    Queen's University, Belfast
  • Jae Seung Song
    Sejong University, South Korea
  • Sujan Rajbhandari
    Coventry Business School, Coventry University, UK
The safety of vulnerable road users is paramount, particularly as we move towards the widespread adoption of autonomous and self-driving vehicles. In this study, we investigate the use of a six-element distributed antenna system (DAS), operating at 5.8 GHz and mounted on the exterior (i.e., roof and wing mirrors) of an automobile, to enhance signal reliability for pedestrian-to-vehicle (P2V) communications. Due to its low complexity and ease of implementation, we consider the use of a switch-and-examine combining with post-examining selection (SECps) scheme to combine the signal received by the DAS. During our experiments, a pedestrian wearing a wireless device on their chest either stood stationary or walked by the side of a road. It was found that the overall signal reliability depends on not only the number, but also different groupings of the antennas which are selected. The goodness-of-fit results have shown that the temporal behavior of the diversity gain was adequately described by the Gaussian distribution. Building upon this, we also provide some useful insights into the antenna selection through the comparison of three different antenna selection mechanisms, namely per-sample random antenna selection, one-shot antenna selection and per-sample optimal antenna selection.

Allweddeiriau

Iaith wreiddiolSaesneg
Tudalennau (o-i)11005-11010
CyfnodolynIEEE Transactions on Vehicular Technology
Cyfrol70
Rhif y cyfnodolyn10
Dyddiad ar-lein cynnar5 Awst 2021
Dynodwyr Gwrthrych Digidol (DOIs)
StatwsCyhoeddwyd - Hyd 2021
Cyhoeddwyd yn allanolIe

Cyfanswm lawlrlwytho

Nid oes data ar gael
Gweld graff cysylltiadau