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W-band target characteristics extraction algorithms

机译:W波段目标特征提取算法

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This paper focusing on ground target, using variety of emission polarization and virtual polarization synthesis receive mode, obtain the full-polarimetric HRRP and extract polarization scattering matrix. Then, applying Cloude and Freeman decomposition on it to achieve scattering entropy H, average scattering angle α and three scattering mechanisms, involving canopy scatter, first-order Bragg surface scatter, and a double-bounce scattering mechanism. We apply these methods to fully polarimetric radar data from a classical dihedral in ground clutter and get the ideal results, i.e. the target is recognized in both algorithms. Therefore, there is no doubt that target decomposition(TD) theorems offer great potential in detecting and recognizing targets under the ground clutter.
机译:本文针对地面目标,利用多种发射极化和虚拟极化合成接收方式,获得全极化HRRP并提取极化散射矩阵。然后,对其进行Cloude和Freeman分解,以实现散射熵H,平均散射角α和三种散射机制,涉及冠层散射,一阶布拉格表面散射和双反弹散射机制。我们将这些方法应用于地面杂波中经典二面角的全极化雷达数据,并获得理想结果,即在两种算法中都可以识别目标。因此,毫无疑问,目标分解定理在地面杂波下检测和识别目标方面具有巨大的潜力。

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