基于实时优化的搜索雷达点迹提取方法
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周昆正(1971-),陕西西安人,高工,主要研究方向为雷达情报处理和数据处理、人机交互设计

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TN957

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Algorithm of Plot Acquisition for Search Radar Based on Software Optimization
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    摘要:

    针对两坐标警戒搜索雷达数据处理对点迹提取强实时、高精度的要求,提出了基于二维质量中心法点迹凝聚自动提取的快速强实时方法。该方法通过整合小滑窗积累提高了检测概率,实现了野值剔除、点迹数据归并、点迹凝聚等步骤,抑制了目标分裂,达到了目标原始回波数据一个目标在某一时刻只有一个点迹报告的目标。该实现方法采用通用 CPU 进行目标检测和点迹凝聚,充分发挥通用 CPU 优势,容易实现更复杂的数据处理算法。通过软件优化,保证处理的实时性。在实际环境下测试,点迹提取所耗费时间仅为天线周期的约 10%。随着雷达数据处理与信号处理的进一步融合,通用 CPU 在雷达系统中的应用将更加广泛。

    Abstract:

    An automatic plot acquisition method based on the center of the mass is proposed to meet the needs of the real time and the precision in the data process of the 2D search radar. In order to obtain the results that one target has only one plot at the same time, the moving window integration is used to improve the detect probability and eliminate the wild value, the plots coalition and plots centroid are used to suppress the split of target. The general CPU platform, which has its flexible advantage, is adopted to carry out the complicated data process algorithms, such as target detection and plot centroid. The plot acquisition method is proved its quality of teal time by tests in actual environments, which only cost 10 percent of the antenna period by optimizing software. The tests also show that the general CPU has its application prospect in radar system with the fusion of the radar data process and the radar signal system.

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周昆正.基于实时优化的搜索雷达点迹提取方法[J].现代导航,2018,9(1):65-69

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  • 在线发布日期: 2022-05-17
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