A LS-SVM based Measurement Points Classification Algorithm for Adjacent Targets in WSNs

In wireless sensor networks (WSNs), the problem of measurement origin uncertainty for observed data has a significant impact on the precision of multi-target tracking. In this paper, a novel algorithm based on least squares support vector machine (LS-SVM) is proposed to classify measurement points f...

Descripción completa

Detalles Bibliográficos
Autores principales: Wang, Xiang, Zhao, Zong-Min, Wang, Tao, Zhang, Zhun, Hao, Qiang, Li, Xiao-Ying
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2019
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6960704/
https://www.ncbi.nlm.nih.gov/pubmed/31888193
http://dx.doi.org/10.3390/s19245555

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6960704/
https://www.ncbi.nlm.nih.gov/pubmed/31888193
http://dx.doi.org/10.3390/s19245555

Ejemplares similares