The fusion methods of multi-sensor system based on pseudo-measurement model library

For single sensor system, information transmitted in wireless networks will appear the phenomenon of delay, out-of-sequence even dropout, so that the process center cannot receive and handle with the information promptly and effectively. Similarly, this situation also exists in the multi-sensor system where the information needs to be transported by wireless networks, even more severe. As a result, the complexity of the information processing methods for multi-sensor systems is more severe. The core difficulty of these methods is how to deal with the information with the phenomena mentioned above, that not only need to consider the coupling of the sensor itself, but also need to consider the underlying coupling between different sensors. In order to deal with the delay measurements in multisensor systems, this paper builds a novel pseudo-measurement model library which is corresponding to multi-sensor system, then proposes two fusion filtering algorithms to deal with the networked measurements accurately in real time: matrix fusion filter algorithm, centralized filter algorithm. Meanwhile, the final simulation examples demonstrate the effectiveness of the two proposed methods.