Based on Poisson point processes, multitarget multi-Bernoulli processes, and set calculus, a Bayesian method is presented to estimate the nonhomogeneous clutter background while simultaneously tracking multiple targets. A major feature of the proposed approach is the seamless integration of clutter estimation with standard multitarget tracking algorithms like the multiple hypothesis tracker (MHT) and the joint integrated probabilistic data association (JIPDA) tracker by exploiting the association events and their probabilities constructed and calculated in standard multitarget tracking algorithms.
Integrated Bayesian Clutter Estimation with JIPDA/MHT Trackers
IEEE Transactions on Aerospace and Electronic Systems ; 49 , 1 ; 395-414
2013-01-01
4312169 byte
Article (Journal)
Electronic Resource
English
Online Contents | 1995
Online Contents | 1995
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