摘要
本文指出多源目标融合技术应用于陆海防护、情报侦察等多种业务系统中,是这些业务系统的重要组成部分。传统的融合技术计算量大、可处理的目标数量有限。本文创造性地利用多目标相似关系的稳定性,把关联计算和融合输出计算解耦成并行的过程,并且按照传感器类型分层融合,这种架构可以在分布式系统中部署,也可以按传感器类型灵活扩展,能够处理海量目标,在海量多源目标融合中有重要的借鉴意义。
This paper points out that multi-source target fusion technology is used in various business systems such as land and sea protection,intelligence and reconnaissance,and is an important part of these business systems.Traditional fusion technology is computationally intensive and has a limited number of targets that can be processed.This paper creatively uses the stability of multi-objective similarity relationships to decouple correlation calculations and fusion output calculations into parallel processes,and fuse them hierarchically according to sensor types.This architecture can be deployed in a distributed system,or can be flexible expansion based on sensor types,able to handle massive targets,and has important reference significance in the integration of massive multi-source targets.
作者
卢新平
李彬
唐帅
LU Xinping;LI Bin;TANG Shuai(China Satellite Network Exploration Co.,Ltd.,Chongqing 401123,China)
出处
《科技创新与生产力》
2024年第10期81-83,88,共4页
Sci-tech Innovation and Productivity
关键词
传感器
多源目标融合
分层融合
海量目标
sensor
multi-source target fusion
layered fusion
massive target