Ground moving target imaging and motion parameter estimation using radon-second-order WVD transform

Penghui Huang, G. Liao, Zhiwei Yang, X. Xia, Jingtao Ma
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引用次数: 6

Abstract

For a SAR system with a moving target, long synthetic aperture time may greatly improve the SAR imaging quality, whereas defocusing may occur due to the range cell migration (RCM) and Doppler frequency migration (DFM) effects. To address those issues, a key procedure is to perform the accurate motion compensation, and then, the motion parameter estimation becomes essential. In this paper, a novel motion parameter estimation method named Second-order WVD (SoWVD) transform is proposed, which can achieve motion parameter estimation by 2-D Fourier transform (FT) instead of the exhaustive search of the trajectory slope in time-frequency plane by Wigner-Hough transform (WHT). In the sequel, a new SAR imaging method based on a combined Radon-SoWVD transform is developed, which can simultaneously eliminate the RCM and DFM effects without the restriction of Doppler ambiguity. After compensating target motion effect according to the estimated motion parameters, a ground moving target can be finely imaged. Real data processing results are provided to demonstrate the validity of the proposed imaging method.
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基于氡-二阶WVD变换的地面运动目标成像及运动参数估计
对于具有运动目标的SAR系统,较长的合成孔径时间可以极大地提高SAR成像质量,但由于距离元迁移(RCM)和多普勒频率迁移(DFM)的影响,可能会产生离焦。为了解决这些问题,进行精确的运动补偿是一个关键步骤,然后,运动参数估计就变得至关重要。本文提出了一种新的运动参数估计方法——二阶WVD (SoWVD)变换,该方法可以通过二维傅里叶变换(FT)来实现运动参数估计,而不是通过Wigner-Hough变换(WHT)在时频平面上对轨迹斜率进行彻底搜索。在此基础上,提出了一种基于Radon-SoWVD组合变换的SAR成像方法,该方法可以在不受多普勒模糊限制的情况下同时消除RCM和DFM效应。根据估计的运动参数对目标运动效应进行补偿后,可以对地面运动目标进行精细成像。实际数据处理结果验证了所提成像方法的有效性。
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