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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...

पूर्ण विवरण

में बचाया:
ग्रंथसूची विवरण
मुख्य लेखकों: Xiaofan Li, Yubin Zhao, Sha Zhang, Xiaopeng Fan
स्वरूप: Artigo
भाषा:Inglês
प्रकाशित: MDPI AG 2016-05-01
श्रृंखला:Sensors
विषय:
ऑनलाइन पहुंच:http://www.mdpi.com/1424-8220/16/6/786
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