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Target tracking in sensor networks using additive divided difference information filtering method

  • Kunsan National University
  • Jeonbuk National University

Research output: Contribution to conferenceConference paperpeer-review

Abstract

This paper represents a new multiple sensor information fusion algorithm in distributed sensor networks using an additive divided difference information filter for nonlinear estimation and tracking applications. The newly proposed multi-sensor fusion algorithm is derived by utilizing an efficient new additive divided difference filtering algorithm with embedding statistical error propagation method into an information filtering architecture. The new additive divided difference information filter achieves not only the accurate nonlinear estimation solution, but also the flexibility of multiple information fusion in distributed sensor networks. Performance comparison of the proposed filter with the nonlinear information filters is demonstrated through a target-tracking application.

Original languageEnglish
Title of host publicationAdvances in Mechatronics and Control Engineering II
Pages503-509
Number of pages7
DOIs
StatePublished - 2013
Event2013 2nd International Conference on Mechatronics and Control Engineering, ICMCE 2013 - Dalian, China
Duration: 2013.08.282013.08.29

Publication series

NameApplied Mechanics and Materials
Volume433-435
ISSN (Print)1660-9336
ISSN (Electronic)1662-7482

Conference

Conference2013 2nd International Conference on Mechatronics and Control Engineering, ICMCE 2013
Country/TerritoryChina
CityDalian
Period13.08.2813.08.29

Keywords

  • Distributed sensor networks
  • Divided difference information filter
  • Multiple sensor fusion
  • Nonlinear estimation
  • Target tracking

Quacquarelli Symonds(QS) Subject Topics

  • Engineering & Technology

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