数据融合与雷达优化布站

雷达组网反隐身技术是现代军事领域比较关注的一个问题。其中的多雷达数据融合和雷达优化布站技术又是热点问题。本文通过例子首先分析了数据融合和雷达布站对组网系统探测性能的空间分布的影响，进而给出了一种雷达优化布站方法。该市站方法以所要探测目标的雷达散射特性（ＲＣＳ）和各雷达的空间探测特性为依据，同时也考虑到了组网系统对四抗（抗干扰、抗低空入侵、抗反辐射导弹和抗隐身目标）的要求。

Data Fusion and Radar Netting Optimization

in recent years, the radar network anti-stealth systems for modern military use have been investigated with great interest, and multisensor data fusion and radar netting optiedation have been hot issues. In this paper, the relation between the data fusion and radar netting is analyzed,and an approach to radar netting optimization countering directional targets is described in brief.This approach is based on the measured radar cross section (RCS) of the interested targets and coverage diagrams of the different radars in the system Furthermore, it takes into account several nnatural and unnatural factors, such as man-made interference, antiradar missile, stealth target, and so on.