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The Doppler effect has several practical, real-world applications. For instance, meteorologists use Doppler radars to interpret weather events based on the Doppler effect. Typically, a transmitter emits radio waves at a specific frequency toward the sky from a weather station. The radio waves bounce off the clouds and precipitation and travel back to the weather station. The radio frequency of the waves reflected back to the station appears to decrease if the clouds or precipitation are moving...
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基于软件定义的无线电平台的实时雷达分类:通过图形处理单元加速提高处理速度和准确性.

Seckin Oncu1, Mehmet Karakaya2, Yaser Dalveren3

  • 1TUBITAK BILGEM, Ankara 06100, Turkey.

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本研究介绍了使用软件定义无线电 (SDR) 和DBSCAN算法实时雷达分类系统. 它实现了高处理速度和89.7%的准确性,用于识别电子支持措施中的威胁雷达.

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我们的GPU是GPU的GPU集群集成是指集群集成.电子支持措施 电子支持措施参数提取 参数提取雷达分类 雷达分类 雷达分类软件定义无线电 软件定义无线电

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科学领域:

  • 电气工程 电气工程
  • 计算机科学 计算机科学
  • 信号处理 信号处理

背景情况:

  • 软件定义无线电 (SDR) 已经将无线电系统数字化,提高了灵活性和可重配置性.
  • 雷达信号参数,在脉冲描述词 (PDWs) 中,对于电子支持测量 (ESM) 系统至关重要.
  • 实时分类威胁雷达对于现代防御和监视至关重要.

研究的目的:

  • 开发和评估基于SDR的实时雷达分类系统.
  • 为了提高雷达检测和识别的处理速度和准确性.
  • 为了提高性能,利用先进的算法和硬件加速.

主要方法:

  • 利用软件定义无线电 (SDR) 平台进行实时信号采集.
  • 实施了基于密度的应用程序与噪音的空间聚类 (DBSCAN) 算法进行分类.
  • 使用图形处理单元 (GPU) 并行实现高效的无线电频率 (RF) 参数提取.

主要成果:

  • 实现了实时雷达分类,显著提高了处理速度.
  • 在高达200 MSps的采样速率下证明了高效率.
  • 在分类威胁雷达方面获得了89.7%的准确性.

结论:

  • 拟议的基于SDR的系统为实时雷达分类提供了有效的解决方案.
  • GPU并行化和DBSCAN显著提高了处理速度和分类准确性.
  • 这种方法非常适合电子支持措施 (ESM) 应用,需要快速识别威胁.