Bounded Noises Estimation Based On Cognitive Radio In Distributed Fusion System

In distributed fusion system, the close interaction between the network and the physical world is emphasized, and the cognitive radio (CR) of wireless terminal has sufficient intelligence or cognitive ability to effectively improve the communication quality by detecting the history and current conditions of the surrounding wireless environment. Based on the Kalman filter, a channel sensing and conversion mechanism is studied and a new necessary and sufficient condition for MSE stability is deduced. Stable gain is received based on the stable requirements. And the average estimated error covariance is deduced. Finally, the average estimated error covariance with the mechanism is at least 63% less than that without this mechanism by using MATLAB simulation.