Sequential fusion and state estimation for asynchronous multirate multisensor dynamic systems

Lu Jiang, Liping Yan*, Bo Xiao, Yuanqing Xia, Mengyin Fu

*Corresponding author for this work

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

6 Citations (Scopus)

Abstract

A sequential fusion and state estimation algorithm for an asynchronous multirate multisensor dynamic system is presented in this paper. The dynamic system at the finest scale is known. There are multiple sensors observing a single target independently with different sampling rates, and the observations are obtained asynchronously. The present algorithm is shown to be more effective and efficient than the existed methods. Simulations on a radar tracking system with three sensors are done and show the effectiveness of the present algorithm.

Original languageEnglish
Title of host publicationProceedings of the 33rd Chinese Control Conference, CCC 2014
EditorsShengyuan Xu, Qianchuan Zhao
PublisherIEEE Computer Society
Pages291-296
Number of pages6
ISBN (Electronic)9789881563842
DOIs
Publication statusPublished - 11 Sept 2014
EventProceedings of the 33rd Chinese Control Conference, CCC 2014 - Nanjing, China
Duration: 28 Jul 201430 Jul 2014

Publication series

NameProceedings of the 33rd Chinese Control Conference, CCC 2014
ISSN (Print)1934-1768
ISSN (Electronic)2161-2927

Conference

ConferenceProceedings of the 33rd Chinese Control Conference, CCC 2014
Country/TerritoryChina
CityNanjing
Period28/07/1430/07/14

Keywords

  • Kalman filter
  • asynchronous
  • multirate multisensor
  • sequential fusion
  • state estimation

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