Adaptive Particle Filter for Nonparametric Estimation with Measurement Uncertainty in Wireless Sensor Networks

Particle filters (PFs) are widely used for nonlinear signal processing in wireless sensor networks (WSNs). However, the measurement uncertainty makes the WSN observations unreliable to the actual case and also degrades the estimation accuracy of the PFs. In addition to the algorithm design, few work...

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Detalles Bibliográficos
Autores principales: Li, Xiaofan, Zhao, Yubin, Zhang, Sha, Fan, Xiaopeng
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2016
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4934212/
https://www.ncbi.nlm.nih.gov/pubmed/27249002
http://dx.doi.org/10.3390/s16060786

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4934212/
https://www.ncbi.nlm.nih.gov/pubmed/27249002
http://dx.doi.org/10.3390/s16060786

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