Adaptive Integrated Navigation Information Fusion Algorithm Based on Elman Network

The problem of navigation has received considerable attention in the literature and has a wide variety of potential applications including military reconnaissance, space explorations and mining operation etc. A number of algorithms have been proposed which have been successfully employed in mobile robots, unmanned aerial vehicles. This paper presents current work on decentralized data fusion algorithm applied to the federated filtering. In this paper, a novel Elman network-based scheme is proposed to adjust the information sharing factors. The simulation results illustrate that this method can inhibit divergence of the filter and improve the accuracy of the whole integrated navigation system