On Kalman Information Fusion for Multiple Wireless Sensors Networks Systems with Multiplicative Noise
نویسندگان
چکیده
Kalman information fusion filter is dealt with for WSNs (Wireless sensor networks), where multiplicative noises occur in the system model. There are l > 2 sub-systems, and for each sub-system, there are m > 2 observations that are sent through different wireless channel. Packet loss is inevitable for the wireless channel, and the optimal information fusion filter is given by the projection theorem and the scalar weighting criterion. Numerical example shows that the proposed approach is efficient. Copyright © 2014 IFSA Publishing, S. L.
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