An Efficient Method for Ground Maneuvering Target Refocusing Based on DPT-MFP

M. Tian, G. Liao, Shengqi Zhu, Xiongpeng He, Yongjun Liu, Yunpeng Li
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Abstract

Ground maneuvering targets may be smeared in a synthetic aperture radar (SAR) image due to the Doppler ambiguity, high-order range migration (RM) and Doppler frequency migration (DFM) caused by unknown motion parameters. To address these problems, an efficient method based on discrete polynomial-phase transform (DPT) and matched filtering process (MFP) is developed to refocus the ground maneuvering targets in this paper. Firstly, the DPT is applied to eliminate the quadratic RM, cubic RM and quadratic DFM simultaneously. Then, the matched filtering functions are constructed to remove the residual linear RM and linear DFM. At last, the target energy is well focused by performing the azimuth fast Fourier transform (FFT). The proposed algorithm has high computational efficiency and superior performance of target detection and motion parameters estimation under high signal to noise (SNR) environment. The numerical results prove the effectiveness of the proposed method.
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基于DPT-MFP的地面机动目标再聚焦方法
由于未知运动参数引起的多普勒模糊、高阶距离偏移(RM)和多普勒频率偏移(DFM),地面机动目标可能在合成孔径雷达(SAR)图像中被涂抹。针对这些问题,本文提出了一种基于离散多项式相位变换(DPT)和匹配滤波(MFP)的地面机动目标再聚焦方法。首先,应用DPT同时消除二次RM、三次RM和二次DFM;然后,构造匹配的滤波函数去除残差线性RM和线性DFM。最后通过方位角快速傅里叶变换(FFT)对目标能量进行了较好的聚焦。该算法计算效率高,在高信噪比环境下具有较好的目标检测和运动参数估计性能。数值结果证明了该方法的有效性。
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