基于信息分级处理的分布式多源侦察方法研究

Research on Distributed Multi Source Reconnaissance Method Based on Infor⁃mation Grading Processing

针对复杂环境和单一传感器信息的不确定性问题,采用有人/无人多传感器分布式协同侦察及信息融合的方法可解决复杂战场态势感知问题。通过分析多源异构传感器信息融合的特点,将信息分级处理模型应用于分布式多源侦察任务中,设计信息融合的总体框架、功能模型和层次模型,凝练多源信息处理的流程步骤,面向岛礁分布式协同侦察典型任务设计分级信息处理流程并进行仿真计算分析;凝练多源信息融合信息分级处理中的关键技术,旨在促进信息融合技术的快速发展,为我国武器装备体系发展和建设提供一定参考。

Aiming at the uncertainty of complex environment and single sensor information,the situation aware-ness of complex battlefield can be solved by using manned/unmanned multi-sensor distributed cooperative re-connaissance and information fusion.By analyzing the characteristics of multi-source heterogeneous sensor in-formation fusion,the hierarchical information processing model is applied to distributed multi-source reconnais-sance tasks.The overall framework,functional model and hierarchical model of information fusion are designed,the process steps of multi-source information processing are condensed,and the hierarchical information pro-cessing process is designed for typical distributed cooperative reconnaissance tasks of islands and reefs and sim-ulated.The key technologies of multi-source information fusion information classification processing are con-densed,aiming at promoting the rapid development of information fusion technology and providing some refer-ence for the development and construction of China's weapons and equipment system.