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Radar HRRP target recognition based on optimal transformation

机译:基于最优变换的雷达HRRP目标识别

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A novel radar target recognition method using high-resolution range profile (HRRP), called as optimal transformation (OT), is proposed in this paper. The aim of this approach is to increase the distance between the different classes, and reduce the distance between the same class. Firstly, OT enhances the between-class difference by increasing the distance between clustering centers. Then, OT reduces the distance between the same class by seeking a transformation matrix that can preserve the local structure of the within-class optimally Thus, OT has better performance of recognition than the other methods. Experimental results on the measured data of three airplane targets show that the effectiveness of proposed method.
机译:提出了一种利用高分辨率测距廓线(HRRP)的雷达目标识别新方法,称为最优变换(OT)。这种方法的目的是增加不同类别之间的距离,并减少同一类别之间的距离。首先,OT通过增加聚类中心之间的距离来增强类之间的差异。然后,OT通过寻求可以最佳地保留类内部局部结构的变换矩阵来减少同一类之间的距离。因此,OT具有比其他方法更好的识别性能。对三个飞机目标实测数据的实验结果表明,该方法是有效的。

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