Joint Positioning-Communications System: Optimal Distributed Coherence and Positioning Estimators

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

11 Scopus citations

Abstract

Limited spectral access motivates radio technologies that are capable of performing multiple tasks simultaneously and efficiently cooperating with existing systems. We develop a joint positioning-communications system for a vehicular ad hoc network that simultaneously synchronizes distributed users, performs carrier-phase-accurate localization, and enables network communications. In this paper, we focus on two-way ranging methods for jointly estimating propagation delay and clock offset between the participating nodes in the network. We propose a family of novel one-shot methods to achieve distributed coherence and demonstrate that, for given conditions, such estimators reduce to a system of linear equations, hence, optimal. Here, we study the precision and computational complexity of two of these estimators using simulated flight paths and discuss their region of applicability.

Original languageEnglish (US)
Title of host publicationConference Record - 53rd Asilomar Conference on Circuits, Systems and Computers, ACSSC 2019
EditorsMichael B. Matthews
PublisherIEEE Computer Society
Pages317-321
Number of pages5
ISBN (Electronic)9781728143002
DOIs
StatePublished - Nov 2019
Event53rd Asilomar Conference on Circuits, Systems and Computers, ACSSC 2019 - Pacific Grove, United States
Duration: Nov 3 2019Nov 6 2019

Publication series

NameConference Record - Asilomar Conference on Signals, Systems and Computers
Volume2019-November
ISSN (Print)1058-6393

Conference

Conference53rd Asilomar Conference on Circuits, Systems and Computers, ACSSC 2019
Country/TerritoryUnited States
CityPacific Grove
Period11/3/1911/6/19

Keywords

  • Autonomous Vehicles
  • Intelligent Transportation Systems
  • Localization
  • RF Convergence
  • Unmanned Aerial Vehicle (UAV)
  • V2V Communications and Positioning

ASJC Scopus subject areas

  • Signal Processing
  • Computer Networks and Communications

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