Object Tracking Over Distributed WSNs With Consensus on Estimates and Missing Data

Object Tracking Over Distributed WSNs With Consensus on Estimates and Missing Data

Wireless sensor network (WSN) technologies are used to provide mobile object tracking due to advantages such as mobility, scalability, and flexibility. However, wireless interaction between the network nodes is often accompanied by missing data, which requires robustness from the estimator. This pap...

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Bibliographic Details
Main Authors: Miguel Vazquez-Olguin, Yuriy S. Shmaliy, Oscar Ibarra-Manzano, Jorge Munoz-Minjares, Carlos Lastre-Dominguez
Format: Article
Language:English
Published: IEEE 2019-01-01
Series:IEEE Access
Subjects:
Distributed wireless sensor network
object tracking
unbiased FIR filter
Kalman filter
robustness
consensus on estimates
Online Access:https://ieeexplore.ieee.org/document/8672566/

Internet

https://ieeexplore.ieee.org/document/8672566/

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