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增强范围多普勒映射算法用于基于GNSS的被动雷达空中目标检测.

Zhuxian Zhang1, Ma Xiaojing2, Yu Zheng3

  • 1College of Electronic Communication and Electrical Engineering, Changsha University, Changsha, 410022, China.

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概括

这项研究通过提高射程多普勒地图 (RDM) 的信号噪声比 (SNR) 来增强全球导航卫星系统 (GNSS) 雷达用于探测空中目标. 新方法根据信号特征减少噪声,提高检测准确度.

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科学领域:

  • 雷达系统 雷达系统
  • 信号处理 信号处理
  • 航空航天工程 航空航天工程

背景情况:

  • 全球导航卫星系统 (GNSS) 雷达提供非接触物体检测.
  • 目前的限制包括弱信号和低分辨率,限制应用.
  • 探测移动的空中目标对GNSS雷达来说是一个独特的挑战.

研究的目的:

  • 提出一种新的射程多普勒图 (RDM) 信号噪声比 (SNR) 改进方案,用于使用GNSS雷达探测空中目标.
  • 为了提高目标运动状态估计的分辨率和准确性.
  • 开发一种可在没有先前环境条件的情况下使用的降噪算法.

主要方法:

  • 使用双静态GNSS雷达模型从直接和反射信号获取RDM.
  • 开发了一种算法,在GNSS信号中连续扣除噪声条款.
  • 模拟移动目标检测以获取和分析RDM光谱.

主要成果:

  • 拟议的算法通过有效降低噪声,显著改善RDM SNR.
  • 基于信号特征的降噪比依赖环境的方法更具适用性.
  • 模拟显示,图像信息缩后噪声减少 (63.23%用于GPS,71.69%用于北斗).

结论:

  • 开发的RDM SNR改进算法增强了GNSS雷达在空中目标检测方面的能力.
  • 该方法在目标运动分析中提供了更好的分辨率和准确性.
  • 这种以信号为中心的方法克服了传统降噪技术的局限性.