Cooperative Trajectory Planning for Multi-target Tracking Using Passive Sensors

Xiwen Yang, Shaoming He, Defu Lin, Yadong Wang

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

Abstract

Target tracking missions can be efficiently performed by the highly maneuverable unmanned aerial vehicle (UAV) teams. To enhance the system observability of multi-target tracking problems with passive sensors, this paper develops a cooperative trajectory optimization method for a UAV team. An approximate performance metric that can be utilized in trajectory optimization is derived based on the multi-sensor joint probabilistic data association filter (JPDAF). Then we proposed a distributed multi-UAV trajectory planning algorithm leveraging the incremental optimization strategy to track multiple moving targets. The effectiveness of the proposed algorithm is demonstrated with simulation examples.

Original languageEnglish
Title of host publicationAIAA SciTech Forum 2022
PublisherAmerican Institute of Aeronautics and Astronautics Inc, AIAA
Pages1-14
Number of pages14
ISBN (Print)9781624106316
DOIs
Publication statusPublished - 2022
EventAIAA Science and Technology Forum and Exposition, AIAA SciTech Forum 2022 - San Diego, United States
Duration: 3 Jan 20227 Jan 2022

Publication series

NameAIAA Science and Technology Forum and Exposition, AIAA SciTech Forum 2022

Conference

ConferenceAIAA Science and Technology Forum and Exposition, AIAA SciTech Forum 2022
Country/TerritoryUnited States
CitySan Diego
Period3/01/227/01/22

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