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雷达信号分选任务是对雷达脉冲序列进行K-means聚类，以判定每个脉冲的所属雷达 1、对 2GHz 以内的信号进行多项滤波，以确定信号的中心频带 2、构建分选数据集，对场景中雷达脉冲序列信号进行仿真，并通过UDP传至开发处理 3、基于C++实现K-means算法并部署到ZYNQ开发板上 4、对K-means算法的进行改进，提出的APG优化算法在更少的迭代次数内收敛 该项目成功实现了雷达信号分选任务，并利用ZYNQ对该算 法进行部署实现，准确率95%。
☆21Aug 17, 2023Updated 2 years ago
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