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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...
| Autores principales: | , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
MDPI
2019
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| Materias: | |
| 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 |