A gating method to simplify the calculation of the coefficients is proposed. •. The ET-P-PHD filter can well deal with the nonlinear tracking problems.
A new multiple extended target tracking algorithm using the probability hypothesis density (PHD) filter is proposed in our study, to solve problems on tracking�...
Simulation results show that the algorithms proposed by our study could satisfyingly deal with multiple extended target tracking issues under nonlinear�...
May 3, 2024 � The Variational Bayesian Probability Hypothesis Density algorithm allows filtering calculations by estimating noise covariance in cases of�...
A new multiple extended target tracking algorithm using PHD filter � Yunxiang Li, Huaitie Xiao, +2 authors. Hongqi Fan � Published in Signal Processing 1 December�...
Two implementations of an extended target phd filter are given, one using Gaussian mixtures and one using Gaussian inverse Wishart (giw) mix- tures. Two models�...
Cover illustration: Laser range data used in extended target tracking experi- ments. Two persons were measured at waist height as they walked around in.
Jul 25, 2014 � Especially, Mahler has extended the probability hypothesis density (PHD) filter to the METT [8] and derived a complete updated formula, which�...
k ( � ) is the birth PHD, representing new targets. The correction equations for the extended target PHD filter has the following form [14],. Dk|k ξk|Zk�...
The results show that the accuracy of the extension state estimation of the proposed ConvCNP-GM-PHD filter is improved and its computational complexity is also�...