一种基于质量等级制的分布式协同导航方法与计算机仿真OA

Addressing the navigation and positioning challenges faced by cooperative combat formations in GNSS-denied scenarios where feature-matching navigation is unavailable,a distributed cooperative navigation method based on a quality grading system was proposed.Firstly,based on the precise ranging and information sharing capabilities of omnidirectional data links,rules for disseminating cooperative navigation information among network nodes were formulated,and a navigation source selection strategy based on quality levels was adopted.This strategy enables the cooperative navigation function to operate stably and reliably even in adverse conditions such as insufficient positioning references and poor geometric distribution,and output accurate and continuous positioning results.In addition,a distributed cooperative navigation simulation verification system was constructed,which can comprehensively simulate various error sources and information interaction processes in cooperative navigation.The performance of the cooperative navigation function was simulated and verified in typical scenarios,and the simulation results demonstrated the effectiveness of the proposed method.