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Virtual Array-based Super-resolution for Mechanical Scanning Radar

机译:基于虚拟阵列的机械扫描雷达的超分辨率

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Source location with real aperture radar (RAR) has raised many concerns in the applications of monitoring for the interested sources. However, the coarse angular resolution of RAR is insufficient for resolving multiple sources within the beam width. To solve this problem, this paper proposes a virtual array-based superresolution method for mechanical scanning antenna. First, the virtual array model is constructed using the azimuth echo of mechanical scanning radar, and derived the mapping relationship between the real aperture scanning radar and the virtual array. Then, the sources distribution is recovered via the virtual array model combined with multiple signal classification (MUSIC) algorithm. Last, simulation validates that the method can improve the angular resolution of mechanical scanning radar.
机译:具有真实孔径雷达(RAR)的源位置在监测中提出了许多担忧的疑虑。 然而,RAR的粗角度分辨率不足以在光束宽度内解析多个源。 为了解决这个问题,本文提出了一种基于虚拟阵列的机械扫描天线的超级化方法。 首先,使用机械扫描雷达的方位回波构造虚拟阵列模型,并导出真实孔径扫描雷达和虚拟阵列之间的映射关系。 然后,通过与多个信号分类(音乐)算法组合的虚拟阵列模型恢复源分布。 最后,仿真验证该方法可以提高机械扫描雷达的角度分辨率。

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