Intelligent tracking algorithm for manoeuvering target using Kalman filter with fuzzy gain

S. Y. Noh, J. B. Park, Y. H. Joo

Research output: Contribution to journalArticle

11 Citations (Scopus)

Abstract

An intelligent filter with fuzzy gain is proposed, which calculates a manoeuver input into the time-varying variance of the overall process noise and compensates an estimation error by using a fuzzy gain. The proposed technique not necessary to predesign the acceleration levels according to the target manoeuver properities. The manoeuver input is esitmated using the difference between the non-manoeuvering filter and the manoeuvering one. To compensate the estimation error, the fuzzy gain is used to describe the relationship between the filter residual and its variation. A fuzzy system is utilised for an universal approximator. It is optimised by using a genetic algorithm. A computer simulations show that the effectiveness of the proposed method is compared with multiple filters.

Original languageEnglish
Pages (from-to)241-247
Number of pages7
JournalIET Radar, Sonar and Navigation
Volume1
Issue number3
DOIs
Publication statusPublished - 2007

All Science Journal Classification (ASJC) codes

  • Electrical and Electronic Engineering

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