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Cooperative Positioning Strategy for Multiple Unmanned Aerial Vehicles Based on Bearing-Only Measurements

  • Jingqing Yang
  • , Baoli Ma*
  • , Xianghuai Yu
  • , Caipeng Wu
  • , Lixia Yan
  • *Corresponding author for this work
  • Beihang University
  • Qiyuan Lab
  • Tsinghua University

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

This paper investigates the cooperative positioning problem for multiple unmanned aerial vehicles(UAVs) with UWB-based bearing-only measurements and acceleration in body frame output by onboard inertial sensors. We use relative distances among UAVs in a distributed manner and convert the positioning problem into a maximum likelihood optimization problem. Lagrangian multiplier and L-BFGS algorithms are applied to find the optimized solutions. Additionally, we explores the effects of different constraints and noises on positioning accuracy. The experimental results verifies the effectiveness and robustness of the proposed positioning strategy.

Original languageEnglish
Title of host publicationProceedings of the 44th Chinese Control Conference, CCC 2025
EditorsJian Sun, Hongpeng Yin
PublisherIEEE Computer Society
Pages4348-4353
Number of pages6
ISBN (Electronic)9789887581611
DOIs
StatePublished - 2025
Event44th Chinese Control Conference, CCC 2025 - Chongqing, China
Duration: 28 Jul 202530 Jul 2025

Publication series

NameChinese Control Conference, CCC
ISSN (Print)1934-1768
ISSN (Electronic)2161-2927

Conference

Conference44th Chinese Control Conference, CCC 2025
Country/TerritoryChina
CityChongqing
Period28/07/2530/07/25

Keywords

  • Bearing-only measurement
  • Cooperative positioning
  • L-BFGS algorithm
  • Maximum likelihood estimation
  • Multi-agent systems

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