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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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| izdano v: | Sensors (Basel) |
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| Main Authors: | , , , |
| Format: | Artigo |
| Jezik: | Inglês |
| Izdano: |
MDPI
2016
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| Teme: | |
| Online dostop: | https://ncbi.nlm.nih.gov/pmc/articles/PMC4934212/ https://ncbi.nlm.nih.gov/pubmed/27249002 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3390/s16060786 |
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