Maneuvering target tracking based on the EKF

  • Xudong Cao*
  • , Huifeng Li
  • *Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

A nonlinear system model of maneuvering target detection was introduced. To estimate offset angles of pitch and azimuth, relative velocity of missile and target, and distance information while detecting maneuvering target, extended Kalman filter algorithm was introduced. Simulations of nominal trajectory and extreme trajectory shows that the proposed system model and filter design approach can deal with partial information missing problems in the real flight condition and maintain good tracking accuracy for certain time even in extreme blocking situation.

Original languageEnglish
Title of host publication28th Congress of the International Council of the Aeronautical Sciences 2012, ICAS 2012
Pages3512-3518
Number of pages7
StatePublished - 2012
Event28th Congress of the International Council of the Aeronautical Sciences 2012, ICAS 2012 - Brisbane, Australia
Duration: 23 Sep 201228 Sep 2012

Publication series

Name28th Congress of the International Council of the Aeronautical Sciences 2012, ICAS 2012
Volume5

Conference

Conference28th Congress of the International Council of the Aeronautical Sciences 2012, ICAS 2012
Country/TerritoryAustralia
CityBrisbane
Period23/09/1228/09/12

Keywords

  • Current statistical model
  • Extended kalman filter
  • Target tracking

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