Study on Crammer-Rao Lower Bound of Angle-of-Arrival Position Estimation for Cooperative Vehicle-to-Vehicle (V2V) Communication

Jinsoo Youn, Joohyun Jo, Dong Ku Kim

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

4 Citations (Scopus)

Abstract

In this paper, We derive theoretical limits of AoA for cooperative Vehicle to Vehicle (V2V) scenario, which represented as Cramer-Rao lower bounds (CRLB). With highway scenario model, we simulate location accuracy based on CRLB and we get the variance of each of vehicle positions and Root Mean Square Error (RMSE) with respect to localization error. In the simulation results, The more vehicle participate in cooperation, the more localization error reduce.

Original languageEnglish
Title of host publication9th International Conference on Information and Communication Technology Convergence
Subtitle of host publicationICT Convergence Powered by Smart Intelligence, ICTC 2018
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1514-1517
Number of pages4
ISBN (Electronic)9781538650400
DOIs
Publication statusPublished - 2018 Nov 16
Event9th International Conference on Information and Communication Technology Convergence, ICTC 2018 - Jeju Island, Korea, Republic of
Duration: 2018 Oct 172018 Oct 19

Publication series

Name9th International Conference on Information and Communication Technology Convergence: ICT Convergence Powered by Smart Intelligence, ICTC 2018

Other

Other9th International Conference on Information and Communication Technology Convergence, ICTC 2018
Country/TerritoryKorea, Republic of
CityJeju Island
Period18/10/1718/10/19

Bibliographical note

Funding Information:
This work was partly supported by Institute for Information & communications Technology Promotion(IITP) grant funded

Publisher Copyright:
© 2018 IEEE.

All Science Journal Classification (ASJC) codes

  • Computer Networks and Communications
  • Computer Science Applications
  • Information Systems
  • Information Systems and Management
  • Artificial Intelligence

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