Predictive fusion weighted method based on multisensor time-delay network

Because the existing fusion methods based on network-delay often use the traditional synchronous fusion algorithms directly, it inevitably induces some problems, such as information delay, resource free, and bad real-time performance etc.. Aiming at above problems this paper combined the predictive estimate with the technology of sequential weighted fusion at the basis of the existing research. Accordingly, a new multisensor predictive weighted fusion method which could adapt to network-delay was proposed. The new method can not only avoid the disadvantages existing in the current data fusion method founded on network delay but also gain the better real-time predictive function. It presents the process to deduce the sequential predictive weighted method based on network-delay. Moreover, the computer simulation and theoretical analysis are used to show the practicability and advantage of the proposed fusion method.