Compact Multibeam Antenna Using Miniaturized Slow Wave Substrate Integrated Waveguide Rotman Lens for Satellite-Assisted Internet of Vehicles

Jing Ya Deng, Yan Bin Liu, Zhijiao Chen, Wei Lin

Research output: Journal article publicationJournal articleAcademic researchpeer-review

8 Citations (Scopus)

Abstract

A compact multibeam antenna using a miniaturized slow wave substrate integrated waveguide (SW-SIW) Rotman lens for satellite-assisted Internet of Vehicles (IoVs) is reported in this paper. It is well known that conventional Rotman lens is bulky as the key part of the beamformer, i.e., the lens body, occupies most area of the multibeam antenna. In this work, the miniaturization of the Rotman lens body is realized first by loading slow wave structures in the form of metallized blind via-holes inside the lens. In this manner, the effective permittivity of the substrate integrated waveguide (SIW) increases. Meanwhile, the phase velocity within the Rotman lens decreases such that the guided wavelength is shortened. Consequently, the size of the SW-SIW based Rotman lens is significantly miniaturized. Compared to the conventional SIW based Rotman lens, the size of the reported lens is reduced by 66.1% with good transmission performance from 15.3 to 16.3 GHz. Moreover, the miniaturized SW-SIW Rotman lens is adopted to design a compact five-beam antenna, which was simulated, fabricated and measured. The measured results agree reasonably well with the simulations, showing the reported SW-SIW Rotman lens is an ideal candidate for Ku band satellite-assisted IoV applications.

Original languageEnglish
Article number10243612
Pages (from-to)1-9
Number of pages9
JournalIEEE Internet of Things Journal
DOIs
Publication statusAccepted/In press - 8 Sept 2023

Keywords

  • Antenna measurements
  • Antennas
  • Internet of Vehicles
  • Lenses
  • miniaturized antennas
  • multibeam antennas
  • Permittivity
  • Rotman lens
  • Satellite antennas
  • Satellites
  • slow wave structures
  • Substrates

ASJC Scopus subject areas

  • Signal Processing
  • Information Systems
  • Hardware and Architecture
  • Computer Science Applications
  • Computer Networks and Communications

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