Multiple model bootstrap filter for maneuvering target tracking

S. McGinnity, George Irwin

Research output: Contribution to journalArticlepeer-review

74 Citations (Scopus)

Abstract

The extension of the bootstrap filter to the multiple model target tracking problem is considered. Bayesian bootstrap filtering is a very powerful technique since it represents samples by random samples and is therefore not restricted to linear, Gaussian systems, making it ideal for the multiple model problem where very complex densities fan be generated.
Original languageEnglish
Pages (from-to)1006-1012
Number of pages7
JournalIEEE TRANSACTIONS ON AEROSPACE AND ELECTRONIC SYSTEMS
Volume36
Publication statusPublished - 2000

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