Improving holographic radar imaging resolution via deconvolution

Xiaoji Song, Yi Su, Yutao Zhu, Chunlin Huang, Min Lu
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引用次数: 5

Abstract

Holographic radar usually adopts antenna with wide beam pattern to form a big synthetic aperture and to obtain high spatial resolution. However, previous works have indicated that the antenna pattern is essentially a low-pass filter in wavenumber domain and it reduces the practical resolution. To eliminate the influence of the antenna pattern and improve the practical resolution, this paper presents a deconvolution method implemented in two-dimension wavenumber domain. The proposed method acquires parameters by scaling and shifting the target echo to design a Wiener filter. With this Wiener filter, the received signal is deconvolved to restore the wavenumber spectrum. Some numerical simulations and laboratory experiments were conducted. The imaging results of the deconvolved data show that the resolution improved by 50%.
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通过反卷积提高全息雷达成像分辨率
全息雷达通常采用宽波束方向图天线,形成大的合成孔径,获得高的空间分辨率。然而,以往的研究表明,天线方向图本质上是波数域的低通滤波器,这降低了实际分辨率。为了消除天线方向图的影响,提高实际分辨率,本文提出了一种在二维波数域实现反卷积的方法。该方法通过对目标回波进行缩放和移位来获取参数,从而设计出维纳滤波器。使用这种维纳滤波器,接收到的信号被反卷积以恢复波数谱。进行了数值模拟和室内实验。反卷积数据的成像结果表明,分辨率提高了50%。
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