工作在扫描方式下的分布式雷达面临多站数据的目标轨迹匹配问题,难以有效进行多站分布式积累。文中提出一种基于序贯贝叶斯的多站融合算法,该方法可以完成多站雷达不同扫描帧间的多目标轨迹关联匹配,从而有效实现多站信号级融合并获取分集得益。并以该方法为基础,设计面向工程化应用的扫描方式下分布式雷达多站融合解决方案。基于外场试验平台实录数据进行仿真验证,处理结果表明了该方法的有效性。

Distributed radar working in scanning-mode is faced with the problem of target’s trajectory matching, so it’s difficult to accumulate multi-station’s signal effectively. We propose a novel multi-station fusion method based on sequential Bayesian algorithm that can associate multi-station’s data from different scanning-frames, and further more realize multi-station signal fusion to achieve space diversity gain. A solution based on the method is designed for the engineering application of distributed radar under scanning work mode. Experimental results with measured data indicate that the proposed method is effective.

TN957. 52

“十三五冶总装预研基金资助项目