An investigation of an alternative coordinate space parameterisation for radar target tracking

David Cormack, M. Henderson, Daniel E. Clark

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

Target tracking in radar uses mature methods that have been around for many years. The Extended Kalman Filter has long been the typical choice of tracking filter in radar systems due to its low computational effort and its simple implementation. With many recent advances in hardware and processing capability on airborne platforms, it is now becoming possible to integrate higher-complexity algorithms into real-time systems. This work presents an alternative method of tracking a single target using a hybrid filtering approach with an alternative state space parametrization. This approach will be compared to an EKF, UKF and a particle filter using simulated data and root mean square error.

Original languageEnglish
Title of host publicationInternational Conference on Radar Systems (Radar 2017)
PublisherInstitution of Engineering and Technology
ISBN (Electronic)9781785616723
ISBN (Print)9781785616730
DOIs
Publication statusPublished - 28 May 2018

Keywords

  • Estimation
  • Filter
  • Parameterisation
  • Radar
  • Tracking

ASJC Scopus subject areas

  • Electrical and Electronic Engineering

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