• DocumentCode
    504730
  • Title

    Target tracking algorithm with application to naval fire control technology

  • Author

    Zhuang, Huiqiang ; Gao, Hongping ; Yu, Chang Ho ; Jin, Yong Il ; Choi, Jae Weon ; Seo, Tae Il ; Kim, Eui Jin

  • Author_Institution
    Sch. of Mech. Eng., Pusan Nat. Univ., Busan, South Korea
  • fYear
    2009
  • fDate
    18-21 Aug. 2009
  • Firstpage
    5101
  • Lastpage
    5106
  • Abstract
    This paper presents the target tracking technology applied to the fire control system (FCS) which is used on warships. This FCS has the capability to track the targets moving in both high-speed-high-maneuver and low or non-maneuver motions with hybrid uncertainties. Here uses the variable structure interacting multiple model (VSIMM) algorithm as the core tracking algorithm because of its broad adaptability of target tracking. In VSIMM, the model-set is made adaptive by switching among a number of predetermined groups of models, and more cost-effective than fixed-structure IMM (FSIMM) estimator. The important applications of VSIMM estimator include the model-group adaptation logic and model-group design. This paper chose Kalman filter as the sub-filter of VSIMM algorithm. At last, this paper will present an activation-only VSIMM estimator as the simplified form of VSIMM.
  • Keywords
    Kalman filters; estimation theory; naval engineering; ships; target tracking; Kalman filter; core tracking algorithm; cost-effective than fixed-structure IMM estimator; fire control system; hybrid uncertainties; model-group adaptation logic design; naval fire control technology; target tracking algorithm; variable structure interacting multiple model algorithm; warships; Adaptation model; Control systems; Filters; Fires; Marine vehicles; Mechanical engineering; Mechanical variables control; Radar tracking; Target tracking; Weapons; Estimation; FCS; IMM; Kalman Filter; Target Tracking; VSIMM;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    ICCAS-SICE, 2009
  • Conference_Location
    Fukuoka
  • Print_ISBN
    978-4-907764-34-0
  • Electronic_ISBN
    978-4-907764-33-3
  • Type

    conf

  • Filename
    5334438