An improved IMM algorithm based on maneuvering-adaptive model set

Jin Peng Guo, Jia Xu, Liang Yan, Xiang Gen Xia, Xue Xiao, Teng Long, Ming Ming Bian

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

6 Citations (Scopus)

Abstract

Interacting multiple model (IMM) algorithm is one of the effective methods for maneuvering target tracking. The conventional IMM algorithm based on a fixed model set may lead to filter mismatch for a high maneuvering target. In this paper, an improved IMM algorithm is proposed by using maneuver-adaptive model set. Based on the maneuver detection and adaptively adjusting the process noise levels, it can effectively make a quick response when the maneuver occurs while it has a low root-mean-square error when the motion is relatively stable. Finally, some numerical results are provided to demonstrate the effectiveness of the proposed method.

Original languageEnglish
Title of host publication2016 CIE International Conference on Radar, RADAR 2016
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781509048281
DOIs
Publication statusPublished - 4 Oct 2017
Event2016 CIE International Conference on Radar, RADAR 2016 - Guangzhou, China
Duration: 10 Oct 201613 Oct 2016

Publication series

Name2016 CIE International Conference on Radar, RADAR 2016

Conference

Conference2016 CIE International Conference on Radar, RADAR 2016
Country/TerritoryChina
CityGuangzhou
Period10/10/1613/10/16

Keywords

  • Adjustable white noise model
  • IMM algorithm
  • Maneuvering target tracking
  • Model set

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