An Intelligent Cost-Reference Particle Filter with Resampling of Multi-Population Cooperation

Although the cost-reference particle filter (CRPF) has a good advantage in solving the state estimation problem with unknown noise statistical characteristics, its estimation accuracy is still affected by the lack of particle diversity and sensitivity to the particles’ initial value. In order to sol...

Descripción completa

Detalles Bibliográficos
Autores principales: Zhang, Xinyu, Ren, Mengjiao, Duan, Jiemin, Yi, Yingmin, Lei, Biyu, Wu, Shuyue
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10383641/
https://www.ncbi.nlm.nih.gov/pubmed/37514896
http://dx.doi.org/10.3390/s23146603

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10383641/
https://www.ncbi.nlm.nih.gov/pubmed/37514896
http://dx.doi.org/10.3390/s23146603

Ejemplares similares