A hybrid bootstrap filter for target tracking in clutter
IEEE Transactions on Aerospace and Electronic SystemsPublished 1 January 1997
Neil Gordon
Citations139
SJR quartileQ1
SJR score1.53
SNIP2.15
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Abstract
The problem of tracking multiple targets with multiple sensors in the presence of interfering measurements is considered. A new hybrid bootstrap filter is proposed. The bootstrap filter is an approach where random samples are used to represent the target posterior distributions. By using this approach, we circumvent the usual problem of an exponentially increasing number of association hypotheses as well as allowing the use of any nonlinear/non-Gaussian system and/or measurement models.
Keywords
Computer ScienceEngineering
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