Robust adaptive filtering for extended target tracking with heavy-tailed noise in clutter.

IET Signal Processing(2018)

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摘要
A robust adaptive filter is proposed by using the variational Bayesian (VB) inference to extended target tracking with heavy-tailed noise in clutter. An explicit distribution is used to describe the non-Gaussian heavy-tailed noise based on Student's t-distribution. The need for arbitrary decisions is then eliminated, and the robust operation is provided which is less sensitive to extreme observati...
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关键词
target tracking,adaptive filters,clutter,inference mechanisms,variational techniques,Bayes methods,Gaussian noise,Gaussian distribution,approximation theory
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