Dynamic modeling for route-based motions

Linfeng Xu, Yan Liang, Feng Yang

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

1 Scopus citations

Abstract

This paper is concerned with the modeling problem of route-based motions. A typical route-based motion-straight-line motion-is modeled. Distinct from the conventional bottom-up strategy of the general motion modeling, the proposed modeling adopts a combination of top-bottom and bottom-up strategies. The process noises of the route-based motion model is discovered to be negatively correlated rather than the conventionally assumed white, which is a significant characteristic of such motions. Performance of the route-aided tracking algorithms is evaluated on an air traffic control tracking scenario. Simulation results demonstrate their superiority over the classical target tracking algorithm in terms of accuracy.

Original languageEnglish
Title of host publication2016 8th International Conference on Wireless Communications and Signal Processing, WCSP 2016
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781509028603
DOIs
StatePublished - 21 Nov 2016
Event8th International Conference on Wireless Communications and Signal Processing, WCSP 2016 - Yangzhou, China
Duration: 13 Oct 201615 Oct 2016

Publication series

Name2016 8th International Conference on Wireless Communications and Signal Processing, WCSP 2016

Conference

Conference8th International Conference on Wireless Communications and Signal Processing, WCSP 2016
Country/TerritoryChina
CityYangzhou
Period13/10/1615/10/16

Keywords

  • Air traffic control
  • dynamic modeling
  • probabilistic constraints
  • Stationary Markov process

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