Crammer-Rao Lower Bound of Vehicular Position & Orientation using a Lens-based MIMO in the Cooperative Vehicle-to-Vehicle (V2V) Systems

Joohyun Jo, Dong Ku Kim

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

We derive theoretical limits of estimation on the position and orientation of vehicles equipped with lens based arrays in cooperative Vehicle to Vehicle (V2V) scenario. Then, we analyze and compare its performance with conventional linear array. We determine a received signal of a lens-embedded antenna array and V2V geometric model, with which we next derive the Cramér-Rao lower bound (CRLB) on position and orientation estimation. We verify that a lens-based multiple-input multiple-output (MIMO) outperforms a conventional uniform linear array (ULA) in a certain constraint of a lens's structure.

Original languageEnglish
Title of host publicationAPCC 2022 - 27th Asia-Pacific Conference on Communications
Subtitle of host publicationCreating Innovative Communication Technologies for Post-Pandemic Era
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages134-139
Number of pages6
ISBN (Electronic)9781665499279
DOIs
Publication statusPublished - 2022
Event27th Asia-Pacific Conference on Communications, APCC 2022 - Jeju Island, Korea, Republic of
Duration: 2022 Oct 192022 Oct 21

Publication series

NameAPCC 2022 - 27th Asia-Pacific Conference on Communications: Creating Innovative Communication Technologies for Post-Pandemic Era

Conference

Conference27th Asia-Pacific Conference on Communications, APCC 2022
Country/TerritoryKorea, Republic of
CityJeju Island
Period22/10/1922/10/21

Bibliographical note

Funding Information:
This research was a part of the project titled ’The advancement of smart aids to navigation facilities (20210636)’, funded by the Ministry of Oceans and Fisheries, Korea.

Publisher Copyright:
© 2022 IEEE.

All Science Journal Classification (ASJC) codes

  • Computer Networks and Communications
  • Hardware and Architecture
  • Aerospace Engineering
  • Automotive Engineering
  • Control and Optimization
  • Instrumentation

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