Sequential finite horizon H∞ fusion filter based ship relative integrated navigation

This paper concerns the relative integrated navigation (RIN) problem for the ship navigation systems with finite horizon energy-limited noises. In the ship RIN systems, two kinds of navigation observations can be utilized to obtain more precise navigation information: the ones sampled by inherent navigation devices of the target ship, and the ones broadcasted by the adjacent ships in the near sea area of the target ship. The latter ones are so called relative navigation observations. In this paper, two kinds of novel sequential finite horizon H∞ fusion filtering algorithms are proposed to deal with these observations. Firstly, a centralized fusion performance index is defined and an augmented centralized H∞ fusion filtering algorithm is given to ensure the performance index. Further, this method is extended as a sequential centralized finite horizon H∞ fusion filtering algorithm to sequentially deal with the relative navigation observations in real time. Then, in the distributed fusion framework, a sequential distributed finite horizon H∞ fusion filtering algorithm is also proposed to fuse the local (relative) state estimates of the target ship. Finally, a simulation is employed to illustrate the validity and feasibility of the proposed sequential finite horizon H∞ fusion filter based relative integrated navigation methods. © 2020 Totem Publisher, Inc. All rights reserved.