Search Method for Hypersonic Vehicle Based on Information Geometry

For the limitation of the line-of-sight, the ground radar cannot continuously observe the hypersonic vehicle. To solve the problem that the hypersonic vehicle is difficult to search after flying out of the blind zone of radar line-of-sight, a search method based on information geometry is proposed. In this paper, the probability density of the occurrence position of hypersonic vehicle is estimated based on the nonparametric probability density estimation method, and the estimated position probability density is used as the guidance information for radar search. According to the guidance information the search area is determined, and the beam position arrangement is carried out in the search area with the maximization of regional coverage as the optimization goal. Based on the theory of information geometry, the search strategy is modeled as a statistical manifold. The difference between the search strategy and the guidance information is measured by the Kullback-Leibler (KL) divergence. The optimal search strategy is solved by minimizing the KL divergence. The effectiveness and feasibility of the proposed method are verified by simulation experiments, and it is proved that it has obvious advantages over other search strategies. Copyright ©2022 Acta Automatica Sinica. All rights reserved.