Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/34147
Title: Reconstruction of chaotic signals in wireless sensor networks
Authors: Chen, H
Feng, J
Tse, CK 
Issue Date: 2009
Source: 2009 International Conference on Communications, Circuits and Systems, ICCCAS 2009, 2009, 5250539, p. 187-190 How to cite?
Abstract: The problem of chaotic signal reconstruction in wireless sensor networks is studied. The sensors observe a common chaotic signal in a sensing field. The observations are gathered in a fusion center which is responsible for reconstructing the chaotic signal. Due to the bandwidth constraint of sensors, the observations are quantized and the quantized data are sent to the fusion center. The fusion center combines the received data and employs an unscented Kalman filtering (UKF) algorithm to reconstruct the chaotic signal. The results show that this method can recover the chaotic signal effectively and achieve close performance to the benchmark case where the observations are not quantized. The UKF is also compared with the optimal best linear unbiased estimator (BLUE).
Description: 2009 International Conference on Communications, Circuits and Systems, ICCCAS 2009, Milpitas, CA, 23-25 July 2009
URI: http://hdl.handle.net/10397/34147
ISBN: 9781424448883
Appears in Collections:Conference Paper

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