Multi-platform maneuvering target tracking based on BLUE - AIMM - CI algorithm

Mao Zhang Wang, Yong Qiang Bai

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

2 Citations (Scopus)

Abstract

With the battlefield environment becomes more complicated nowadays, it's difficult to achieve high precision target tracking only using single platform of target tracking system. Especially for maneuvering targets, the application of interactive multiple model (IMM) algorithm based on a variety model becomes necessary and feasible. At the same time, the best linear unbiased estimate (BLUE) filter is much more appropriate and useful than Kalman filter when it comes to deal with nonlinear system. Most of the time, we are blind to the correlation degree of our target during the merge process of tracking. We can track our target with multi-platform with introduction of Cross-Correlation (CI) fusion algorithm which is based on distributed data and proves its effectiveness by simulation.

Original languageEnglish
Title of host publicationProceedings of the 34th Chinese Control Conference, CCC 2015
EditorsQianchuan Zhao, Shirong Liu
PublisherIEEE Computer Society
Pages4716-4721
Number of pages6
ISBN (Electronic)9789881563897
DOIs
Publication statusPublished - 11 Sept 2015
Event34th Chinese Control Conference, CCC 2015 - Hangzhou, China
Duration: 28 Jul 201530 Jul 2015

Publication series

NameChinese Control Conference, CCC
Volume2015-September
ISSN (Print)1934-1768
ISSN (Electronic)2161-2927

Conference

Conference34th Chinese Control Conference, CCC 2015
Country/TerritoryChina
CityHangzhou
Period28/07/1530/07/15

Keywords

  • AIMM
  • BLUE filter
  • CI fusion
  • Maneuvering target tracking
  • Multi-platform

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