This paper is devoted to the problem of multitarget tracking with nonlinear models and uncertain noise statistics in the framework of random finite sets. Based on the linear approximation strategy, a robust closed-form solution to the probability hypothesis density recursion is proposed in terms of an H∞ norm minimization criterion. This idea is extended to develop another analytic implementation using the unscented transform technique. Simulations using the proposed approach are also presented.
Nonlinear Gaussian mixture phd filter with an H∞ criterion
IEEE Transactions on Aerospace and Electronic Systems ; 52 , 4 ; 2004-2016
2016-08-01
812671 byte
Aufsatz (Zeitschrift)
Elektronische Ressource
Englisch
Automated Splitting Gaussian Mixture Nonlinear Measurement Update
Online Contents | 2017
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