A belief-rule-based inference method for carrier battle group recognition

Lianmeng Jiao*, Quan Pan, Xiaoxue Feng, Feng Yang

*Corresponding author for this work

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

4 Citations (Scopus)

Abstract

This paper proposes a method for carrier battle group recognition with over-the-horizon radar outputs. A newly developed belief-rule-based inference method is employed to deal with uncertainties in both radar outputs and domain knowledge. The recognition belief-rule base is constructed considering the constraints among sub-targets in the carrier battle group and subsequently the inference according to such hierarchical belief-rule base is implemented. Moreover, the parameters training method is designed to update the belief-rule base through accumulated historical data. The simulation results show that the belief-rule-based inference method is effective to address the uncertainties in carrier battle group recognition, and the method performs much better after parameters training.

Original languageEnglish
Title of host publicationProceedings of 2013 Chinese Intelligent Automation Conference
Subtitle of host publicationIntelligent Automation
Pages261-271
Number of pages11
DOIs
Publication statusPublished - 2013
Externally publishedYes
Event2013 Chinese Intelligent Automation Conference, CIAC 2013 - Yangzhou, Jiangsu, China
Duration: 23 Aug 201325 Aug 2013

Publication series

NameLecture Notes in Electrical Engineering
Volume254 LNEE
ISSN (Print)1876-1100
ISSN (Electronic)1876-1119

Conference

Conference2013 Chinese Intelligent Automation Conference, CIAC 2013
Country/TerritoryChina
CityYangzhou, Jiangsu
Period23/08/1325/08/13

Keywords

  • Belief-rule base
  • Carrier battle group
  • Over-the-horizon radar
  • Target recognition

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