Millimeter Wave Indoor SAR Sensing Assisted With Chipless Tags-Based Self-Localization System: Experimental Evaluation

  • Aman Batra*
  • , Ali Alhaj Abbas
  • , Jesus Sanchez-Pastor
  • , Mohammed El-Absi
  • , Alejandro Jimenez-Saez
  • , Maher Khaliel
  • , Jan Barowski
  • , Michael Wiemeler
  • , Diana Gohringer
  • , Ilona Rolfes
  • , Rolf Jakoby
  • , Thomas Kaiser
  • *Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

13 Scopus citations

Abstract

This article addresses indoor environment mapping by employing the synthetic aperture radar (SAR) technique at millimeter wave (mmWave) frequencies. The mmWave-based SAR can provide a high-resolution map, for example, of an emergency scenario like a burning room. The high-resolution map drives a new era of SAR applications such as object detection, classification, characterization, and precise localization. A major requirement at high frequencies is the precise knowledge of SAR trajectory, where radar sensors are mounted on a mobile platform such as a drone or unmanned aerial vehicle (UAV). State-of-the-art localization methods such as global positioning system (GPS)-aided inertial measurement units (IMUs) are not valid due to limited coverage and accuracy. One of the primary solutions could be the SAR assisted with an indoor localization system, which is exploited in the work. The presented indoor localization system comprises two types of passive chipless frequency-coded tags, based on dielectric resonators (DRs) and frequency-selective surfaces. In this work, first, the proposed method of integrating SAR and localization systems is evaluated in a single-tag environment. Further, a version of a room equipped with a multitag system is considered for real-time applications, and a successful demonstration of indoor environment mapping for the frequency spectrum of 75-110 GHz is presented.

Original languageEnglish
Pages (from-to)844-857
Number of pages14
JournalIEEE Sensors Journal
Volume24
Issue number1
DOIs
StatePublished - 1 Jan 2024
Externally publishedYes

Bibliographical note

Publisher Copyright:
© 2001-2012 IEEE.

Keywords

  • High-resolution synthetic aperture radar (SAR)
  • indoor imaging
  • mmWave identification
  • mmWave indoor mapping
  • passive tag localization
  • radar imaging

ASJC Scopus subject areas

  • Instrumentation
  • Electrical and Electronic Engineering

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