Convolution kernels implementation of cardinalized probability hypothesis density filter

DOI10.1007/S10255-013-0252-0zbMath1284.65017OpenAlexW2040659616MaRDI QIDQ2439249

Yue Ma, Jian-Zhang Zhu, Qian-Qing Qin, Hu, Yijun

Publication date: 14 March 2014

Published in: Acta Mathematicae Applicatae Sinica. English Series (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s10255-013-0252-0

zbMATH Keywords

numerical examplesequential Monte Carloconvolution kernelprobability hypothesis density filterrandom finite setcardinalized probability hypothesis density filternonlinear non-Gaussian model

Mathematics Subject Classification ID

Inference from stochastic processes and prediction (62M20) Parametric hypothesis testing (62F03)

Cites Work

• A Consistent Metric for Performance Evaluation of Multi-Object Filters
• The Gaussian Mixture Probability Hypothesis Density Filter

This page was built for publication: Convolution kernels implementation of cardinalized probability hypothesis density filter