Gaussian Mixture Cardinalized Probability Hypothesis Density(GM-CPHD): A Distributed Filter Based on the Intersection of Parallel Inverse Covariances

A distributed GM-CPHD filter based on parallel inverse covariance crossover is designed to attenuate the local filtering and uncertain time-varying noise affecting the accuracy of sensor signals. First, the GM-CPHD filter is identified as the module for subsystem filtering and estimation due to its...

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Detalhes bibliográficos

Principais autores:	Liu Wang, Guifen Chen, Guangjiao Chen
Formato:	Artigo
Idioma:	Inglês
Publicado em:	MDPI AG 2023-03-01
coleção:	Sensors
Assuntos:	distributed fusion GM-CPHD parallel inverse covariance intersection Wave Filter
Acesso em linha:	https://www.mdpi.com/1424-8220/23/6/2921
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