| 基于粒子群聚类算法的雷达信号分选 |
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| 引用本文： | 陈彬,骆鲁秦,王岩.基于粒子群聚类算法的雷达信号分选[J].航天电子对抗,2009,25(5):25-28. |
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| 作者姓名： | 陈彬 骆鲁秦 王岩 |
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| 作者单位： | 空军航空大学,吉林长春,130022 |
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| 摘 要： | 在电子对抗领域，雷达信号分选的研究是一个重要课题。电子战的信号环境日趋复杂，雷达信号的处理面临高密度信号环境，雷达脉冲相互交错。对粒子群聚类算法进行了研究分析，把粒子群聚类算法应用到雷达分选中，仿真实验证明该方法能够得到很好的雷达信号分选效果，为雷达信号分选提供了新思路。
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| 关 键 词： | 雷达 信号分选 粒子群聚类算法 |
Radar signal sorting based on particle swarm optimization clustering Algorithm |
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| Chen Bin,Luo Luqin,Wang Yan.Radar signal sorting based on particle swarm optimization clustering Algorithm[J].Aerospace Electronic Warfare,2009,25(5):25-28. |
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| Authors: | Chen Bin Luo Luqin Wang Yan |
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| Institution: | (Air Force Aeronautical University, Changchun 130022, Jilin, China) |
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| Abstract: | Radar signal sorting is a significant issue in electronic countermeasures. Radar pulses are interleaved under high-signal-density environment. Particle swarm optimization（PSO） clustering algorithm has been researched and analyzed,and apply it to radar signal sorting. It proves that can make the signal sorting result of very good radar to imitate and really test,and offers the new thinking for signal sorting of radar. |
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| Keywords: | radar signal sorting PSO clutering algorithm |
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