A novel adaptive filtering algorithm for maneuvering target tracking

Haoqin Shi, Deyun Zhou, Chuxin Chen

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

4 Scopus citations

Abstract

For maneuvering target tracking, and based on the traditional "current" statistical model, the value of maneuvering frequency and maximum acceleration are set up in advance not in adaptive manner which is irrational for the reality. In the present work, a new adaptive filtering algorithm based on the "current" statistical model is proposed. In the proposed algorithm, the maneuvering frequency is adjusted based on fuzzy inference according to the value of the innovation and its change. At the same time, the maximum acceleration is adjusted according to the innovation and the estimated value. Compared to the traditional "current" statistical algorithm, the proposed algorithm improves not only the tracking accuracy and the robustness, but also the adaptation and the rapid response capabilities, for tracking non-maneuvering or weak maneuvering targets. The performance of the proposed algorithm is verified through the Monte Carlo simulations which validate the superiority of the proposed algorithm over the traditional "current" statistical algorithm from the point of view of rationality and validity.

Original languageEnglish
Title of host publicationProceedings - 2012 International Symposium on Instrumentation and Measurement, Sensor Network and Automation, IMSNA 2012
Pages209-213
Number of pages5
DOIs
StatePublished - 2012
Event2012 International Symposium on Instrumentation and Measurement, Sensor Network and Automation, IMSNA 2012 - Sanya, Hainan, China
Duration: 25 Aug 201228 Aug 2012

Publication series

NameProceedings - 2012 International Symposium on Instrumentation and Measurement, Sensor Network and Automation, IMSNA 2012
Volume1

Conference

Conference2012 International Symposium on Instrumentation and Measurement, Sensor Network and Automation, IMSNA 2012
Country/TerritoryChina
CitySanya, Hainan
Period25/08/1228/08/12

Keywords

  • "current" statistical model
  • adaptive filter
  • maneuvering frequency
  • maximum acceleration
  • target tracking

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