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Sequential detection of target maneuvers

  • Jifeng Ru
  • , Vesselin P. Jilkov
  • , X. Rong Li
  • , A. Bashi
  • University of New Orleans

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

16 Scopus citations

Abstract

This paper addresses target maneuver onset detection based on sequential statistical tests. Cumulative sums (CUSUM) type and Shiryayev sequential probability ratio (SSPRT) tests are developed by using a likelihood marginalization technique to cope with the difficulty that the target maneuver accelerations are unknown. The approach essentially utilizes a priori information about the maneuver accelerations in typical tracking engagements and thus allows to improve detection performance as compared with traditional maneuver detectors. Simulation results are presented that demonstrate the capabilities of the maneuver detectors developed.

Original languageEnglish
Title of host publication2005 7th International Conference on Information Fusion, FUSION
PublisherIEEE Computer Society
Pages345-351
Number of pages7
ISBN (Print)0780392868, 9780780392861
DOIs
StatePublished - 2005
Externally publishedYes
Event2005 8th International Conference on Information Fusion, FUSION - Philadelphia, PA, United States
Duration: 25 Jul 200528 Jul 2005

Publication series

Name2005 7th International Conference on Information Fusion, FUSION
Volume1

Conference

Conference2005 8th International Conference on Information Fusion, FUSION
Country/TerritoryUnited States
CityPhiladelphia, PA
Period25/07/0528/07/05

Keywords

  • CUSUM
  • Hypothesis testing
  • Maneuver detection
  • SPRT
  • Target tracking

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