An adaptive curvilinear model tracking algorithm based on the adaptive estimation of parameter

Wenfei Gong*, Jiaqi Li, Siliang Wu

*Corresponding author for this work

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

Abstract

This paper investigates an adaptive curvilinear model algorithm to track a highly maneuvering target which performs curvilinear motion. The target motion model is assumed to be a time-varying velocity curvilinear model with non-zero along-track and cross-track accelerations. The adaptive algorithm utilizes the filtering outputs to estimate the turn rate parameter and the along-track acceleration of this curvilinear model real-timely. It eliminates the performance limitation of the constant turn (CT) circular motion model which prescribes the target moves at a constant speed and a constant turn rate. The adaptive estimation of parameter enhances the tracking precision. Some simulations are carried out to test the performance of the adaptive algorithm and the results show the efficiency and feasibility of the proposed algorithm.

Original languageEnglish
Title of host publicationIET International Radar Conference 2009
Edition551 CP
DOIs
Publication statusPublished - 2009
EventIET International Radar Conference 2009 - Guilin, China
Duration: 20 Apr 200922 Apr 2009

Publication series

NameIET Conference Publications
Number551 CP

Conference

ConferenceIET International Radar Conference 2009
Country/TerritoryChina
CityGuilin
Period20/04/0922/04/09

Keywords

  • Along-track and cross-track accelerations
  • Constant turn
  • Curvilinear model
  • Tracking precision
  • Turn rate parameter

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