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首页> 外文期刊>International Journal of Microwave and Wireless Technologies >A super-resolution polarimetric wavefront extraction algorithm for UWB-radar under massive interference conditions
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A super-resolution polarimetric wavefront extraction algorithm for UWB-radar under massive interference conditions

机译：大规模干扰条件下超宽带雷达的超分辨率极化波阵面提取算法

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摘要

To provide short-range super-resolution ultra-wideband (UWB) radar under multi-scattering conditions, a superior wave-front extraction algorithm is proposed in this paper. Conventional correlation-based pulse separation methods based on SAGE, CLEAN or the previously introduced superior dynamic correlation method (DCM) are revised, validated, and compared. In this paper, the DCM is improved significantly by applying the Pauli scattering matrix decomposition onto the radar data. This novel wavefront extraction algorithm is called polarimetric dynamic correlation method (PDCM) and is suitable to resolve several overlapping pulses, which consist of both strong echoes and weak echoes which are masked by the strong ones. The performance of the PDCM and the comparison with alternative algorithms is carried out by a subsequent feature extraction algorithm for visual verification. Experimental validations are performed with two complex test objects, a maximum length sequence radar device (4.5-13.5 GHz) and compact dual-polarized UWB antennas.
机译：为了提供多散射条件下的短距离超分辨率超宽带雷达，提出了一种优越的波前提取算法。对基于SAGE，CLEAN或先前引入的高级动态相关方法（DCM）的基于常规相关性的脉冲分离方法进行了修订，验证和比较。在本文中，通过将Pauli散射矩阵分解应用于雷达数据，可以显着改善DCM。这种新颖的波前提取算法称为极化动态相关方法（PDCM），适用于解析多个重叠的脉冲，这些脉冲由强回波和被强回波掩盖的弱回波组成。 PDCM的性能以及与其他算法的比较由后续的特征提取算法进行视觉验证。实验验证是使用两个复杂的测试对象进行的，最大长度序列雷达设备（4.5-13.5 GHz）和紧凑型双极化UWB天线。

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