UKF-based nonlinear filtering over sensor networks with wireless fading channel

UKF-based nonlinear filtering over sensor networks with wireless fading channel
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具有无线衰落通道的传感器网络上基于 UKF 的非线性滤波

DOI:
10.1016/j.ins.2015.04.026
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发表时间:
2015-09-20
影响因子:
8.1
通讯作者:
Xia, Yuanqing
Xia, Yuanqing
中科院分区:
计算机科学1区
文献类型:
--
作者:
Li, Li;Xia, Yuanqing

文献摘要

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Stochastic stability of UKF-based nonlinear filter for general nonlinear system over a wireless sensor network with fading channel is studied. In the process of signal transmission, sensor data may be fluctuant or even dropout due to fading channel. By considering signal fluctuation and transmission failure simultaneously, we establish sufficient conditions of statistical convergence property that ensure the stability of the unscented Kalman filter. It is shown that the mean error covariance with respect to fading process is bounded and converges to a steady state value. Moreover, for scalar measurement and Rayleigh fading channel, "explicit expressions" for sequences which can be used as upper bounds on the expected error covariance will be got. Numerical examples are given to illustrate the effectiveness of the developed techniques. (C) 2015 Elsevier Inc. All rights reserved.