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Sensor management based on cross-entropy in interacting multiple model kalman filter

  • Lu Di*
  • , Yao Yu
  • , He Fenghua
  • *Corresponding author for this work
  • Harbin Institute of Technology
  • Harbin University of Science and Technology

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

Abstract

Multisensor systems have been widely used in a variety of civilian and military applications. While sensor management is one of the most important parts of multisensor system. Many techniques of sensor management have been proposed and applied. This paper describes a method using a cross-entropy-based sensor effectiveness metric for sensor assignment in interacting multiple model Kalman filter (IMMKF). The expected cross-entropy is computed for the sensor target pairing on each scan. Then the constrained globally optimum assignment of sensors to targets is calculated and applied.

Original languageEnglish
Title of host publicationProceedings of the 2004 American Control Conference (AAC)
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages5381-5386
Number of pages6
ISBN (Print)0780383354
DOIs
StatePublished - 2004
Event2004 American Control Conference, AAC 2004 - Boston, MA, United States
Duration: 30 Jun 20042 Jul 2004

Publication series

NameProceedings of the American Control Conference
Volume6
ISSN (Print)0743-1619

Conference

Conference2004 American Control Conference, AAC 2004
Country/TerritoryUnited States
CityBoston, MA
Period30/06/042/07/04

Keywords

  • Cross-entropy
  • IMMKF
  • Information
  • Sensor management

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