摘要
针对目前雷达情报自动化系统中雷达网目标状态融合存在航迹不连续、情报信息利用率低等问题,综合 运用了神经网络和军事运筹学理论和方法,给出了一种用于雷达网目标状态融合的算法。结果表明,利用本方法 使融合后的目标轨迹与目标真实运动轨迹非常接近,有效地提高了雷达情报的综合质量。
Radar chain objective state fusion in present radar intelligence automatic system has some problems such as trace discontinuation and low-usage intelligence. The author makes use of nerve network and military opsearch to find an algorithm used for radar chain objective state fusion. The result shows that the algorithm can make trace after fusion very close to real moving trace, and it efficiently enhances the integrated quality of radar intelligence.
出处
《情报指挥控制系统与仿真技术》
2004年第5期53-56,共4页
Information Command Control System and Simulation Technology
关键词
雷达网
状态融合
radar chain
state fusion
