MATEC Web Conf.
Volume 292, 201923rd International Conference on Circuits, Systems, Communications and Computers (CSCC 2019)
|Number of page(s)||6|
|Published online||24 September 2019|
Development of a Robust UFIR Filter with Consensus on Estimates for Missing Data and unknown noise statistics over WSNs
1Department of Electronics Engineering, Universidad de Guanajuato, Salamanca, 36885, Mexico
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Wireless sensor networks (WSN) are often deployed in harsh environments, where electromagnetic interference, damaged sensors, or the landscape itself cause the network to suffer from faulty links and missing data. In this paper, we develop an unbiased finite impulse response (UFIR) filtering algorithm for optimal consensus on estimates in distributed WSN. Simulations are provided assuming two possible scenarios with missing data. The results show that the distributed UFIR filter is more robust than the distributed Kalman filter against missing data.
© The Authors, published by EDP Sciences, 2019
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