Tracking maneuvering target with a fuzzy tracker

Neng Sheng Pai, Tzuu-Hseng S. Li

Research output: Contribution to journalArticle

Abstract

Modelling and state estimation of the maneuvering targets are examined in this paper. We present a new method for embedding fuzzy logic into a traditional α-β tracking algorithm. The estimation procedure of both the α-β tracker and the fuzzy tracker are introduced. The developed algorithm possesses the fast and accurate tracking ability of maneuvering targets. An important contribution of this paper is that the proposed fuzzy tracker does not require deterministic initial conditions assumptions of the process and measurements. Computer simulations illustrate that the fuzzy tracker is simple, effective, and suitable for real-time applications and it indeed improve tracking ability for maneuvering target in comparison with traditional α-β tracker.

Original languageEnglish
Pages (from-to)411-421
Number of pages11
JournalSystems Analysis Modelling Simulation
Volume43
Issue number4
DOIs
Publication statusPublished - 2003 Jan 1

Fingerprint

Maneuvering Target Tracking
Target tracking
Target
State estimation
Fuzzy logic
State Estimation
Fuzzy Logic
Computer simulation
Initial conditions
Computer Simulation
Real-time
Modeling

All Science Journal Classification (ASJC) codes

  • Modelling and Simulation
  • Applied Mathematics

Cite this

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Tracking maneuvering target with a fuzzy tracker. / Pai, Neng Sheng; Li, Tzuu-Hseng S.

In: Systems Analysis Modelling Simulation, Vol. 43, No. 4, 01.01.2003, p. 411-421.

Research output: Contribution to journalArticle

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