A novel characteristic detection method for radar target

Pengfei Du, Yongliang Wang, Zi-yue Tang
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Abstract

In this paper, a novel method of radar target detection based on 2-dimensional (2-D) fractal dimension is proposed. The proposed approach exploits both range information and azimuth information to estimate fractal dimension. Moreover, the approach can increase the number of the data points. The above two merits result in the fractal dimension estimated by this method is more accurate and robust than the previous method. The detection performance is also better than the previous one, which only makes use of 1-dimensional (1-D) information to estimate fractal dimension. Theoretical analysis and experimental result show that the proposed method performs well in strong clutter background. The proposed method is also validated by real-life radar data, and the better result has been achieved.
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一种新的雷达目标特征检测方法
本文提出了一种基于二维分形维数的雷达目标检测新方法。该方法利用距离信息和方位信息来估计分形维数。此外,该方法可以增加数据点的数量。这两个优点使得该方法所估计的分形维数比以前的方法更加准确和鲁棒。该方法的检测性能也优于以往仅利用一维信息估计分形维数的方法。理论分析和实验结果表明,该方法在强杂波背景下具有良好的性能。通过实际雷达数据验证了该方法的有效性,取得了较好的效果。
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