在多雷达数据融合中,数据编排方式是多雷达组网系统成败的关键因素之一。随着数据融合系统中处理容量的迅速增长,串行数据编排融合框架已经不能满足多雷达组网需求。文中针对大容量数据融合系统提出了一种并行数据编排框架,使用OpenMP 并行技术进行了实现。仿真结果表明,并行数据编排框架相比较于串行处理方式具有较高的加速比,实时性高,满足了大规模多雷达组网的需求,并且具有良好的扩展性。

Data management is one of the key factors in multi-radar data fusion. As the process capacity increased rapidly, the framework of serial data management cannot satisfy the requirements of data fusion any more. In this paper, a framework of parallel data management model is presented, and an OpenMP method of parallel technology is used to implement it. Simulation show that the parallel data management framework use to data fusion obtain a good speedup, it can satisfy the large scale multi-radar data fusion and has a good scalability.

TN957; TP39