分布式雷达检测数据融合系统及性能分析

    Distributed Radar Detection Data Fusion with Multi-Radar and Its Performance Analysis

    • 摘要: 研究了基于奈曼一皮尔逊准则的分布式并联融合系统的检测理论,给出了使系统性能达到最优的融合中心的融合规则和传感器的决策规则,提出了一种融合系统性能优化算法,将其应用于雷达网数据融合,并就三部雷达沿直线部署的具体情况进行了计算机仿真。结果表明:相对于单部雷达而言,融合系统的性能有非常显著的改善。

       

      Abstract: In this paper,data fusion theories and algorithms for distributed parallel detection fusion system are studied. Based on Neyman-Pearson criterion, optimal fusion rule and the decision rule of sensors are presented. An optimized algorithm on the performance of the fusion system is proposed, and applied to the data fusion of distributed multi-radar detection system. Then, the data fusion of three radars with same performance is simulated. The results of the computer simulation show that compared with a single radar, the performance of the fusion system is greatly improved.

       

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