Segmentalized FCM-based tracking algorithm for zigzag maneuvering target

Hyun Seung Son, Jin Bae Park, Young Hoon Joo

Research output: Contribution to journalArticle

9 Citations (Scopus)

Abstract

This paper presents a new method for tracking a zigzag maneuvering target by compensating for the positional error of the target. The positional difference between the measured and predicted points is separated into acceleration and noise. Fuzzy c-means (FCM) clustering is utilized as an adaptive method for noise separation. Approximating acceleration is determined by the membership function of the FCM. The approximated acceleration is used to compensate for the tracking error. The procedures of the proposed algorithm can be implemented as an on-line system. Finally, some examples are provided to show the effectiveness of the proposed algorithm.

Original languageEnglish
Pages (from-to)231-237
Number of pages7
JournalInternational Journal of Control, Automation and Systems
Volume13
Issue number1
DOIs
Publication statusPublished - 2014 Jan 1

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Online systems
Membership functions

All Science Journal Classification (ASJC) codes

  • Control and Systems Engineering
  • Computer Science Applications

Cite this

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Segmentalized FCM-based tracking algorithm for zigzag maneuvering target. / Son, Hyun Seung; Park, Jin Bae; Joo, Young Hoon.

In: International Journal of Control, Automation and Systems, Vol. 13, No. 1, 01.01.2014, p. 231-237.

Research output: Contribution to journalArticle

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