Multiple hypothesis tracking and joint probabilistic data association filters for multiple space object tracking

Utkarsh R. Mishra, Nagavenkat Adurthi, Manoranjan Majji, Puneet Singla

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

Abstract

In this paper we study the problem of data association where multiple measurements have to be associated to multiple targets. Specifically, we review and compare the performance of the Joint Probabilistic Data Association(JPDA) Filter and the Multiple Hypothesis Tracking(MHT) Filter in associating measurements with Resident Space Objects (RSO).

Original languageEnglish (US)
Title of host publicationAAS/AIAA Astrodynamics Specialist Conference, 2018
EditorsPuneet Singla, Ryan M. Weisman, Belinda G. Marchand, Brandon A. Jones
PublisherUnivelt Inc.
Pages2403-2412
Number of pages10
ISBN (Print)9780877036579
StatePublished - Jan 1 2018
EventAAS/AIAA Astrodynamics Specialist Conference, 2018 - Snowbird, United States
Duration: Aug 19 2018Aug 23 2018

Publication series

NameAdvances in the Astronautical Sciences
Volume167
ISSN (Print)0065-3438

Conference

ConferenceAAS/AIAA Astrodynamics Specialist Conference, 2018
CountryUnited States
CitySnowbird
Period8/19/188/23/18

All Science Journal Classification (ASJC) codes

  • Aerospace Engineering
  • Space and Planetary Science

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