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An Efficient Ground Manoeuvring Target Refocusing Method Based on Principal Component Analysis and Motion Parameter Estimation

机译:基于主成分分析和运动参数估计的一种有效的地面机动目标重键点方法

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Refocusing ground manoeuvring targets with complex motions in synthetic aperture radar (SAR) remains a challenging objective because of the large range of cell migration (RCM) and time-varying Doppler frequency modulation (DFM). By exploiting the geometric information of RCM and two-dimensional (2-D) coherently integrated gain, a fast ground manoeuvring target refocusing method using principal component analysis (PCA) and high-order motion parameter estimation is proposed. First, an efficient phase difference (PD) method and PCA are utilized to correct the RCM, and then, the energy of the ground manoeuvring target is concentrated into the same range bin. Second, by utilizing the coherently integrated cubic phase function (CICPF) that was developed in our previous work, the motion parameters are obtained accurately, and the manoeuvring target is thus well refocused into a sharp peak point based on the estimated motion parameters. The proposed method is of low computational complexity because it avoids time-consuming search and interpolation operations and demonstrates an improved anti-noise performance due to fully exploiting the 2-D coherent accumulation characteristics for estimating motion parameters and enhanced refocused imaging results for manoeuvring targets due to adopting the high-order motion model. Finally, experiments are conducted using simulated and real SAR data to show the performance of the proposed method.
机译:由于大量的细胞迁移(RCM)和时变多普勒频率调制(DFM),从合成孔径雷达(SAR)中具有复杂运动的地面机动目标仍然是一个具有挑战性的目标。通过利用RCM和二维(2-D)的几何信息相干集成的增益,提出了一种使用主成分分析(PCA)和高阶运动参数估计的快速地机动目标重键点。首先,利用有效的相位差(PD)方法和PCA来校正RCM,然后,将地面操纵目标的能量集中在相同的范围内。其次,通过利用在我们之前的工作中开发的连贯的立方相位函数(CICPF),精确地获得运动参数,因此基于估计的运动参数,操纵目标很好地将其重新分叉成尖峰点。所提出的方法具有低计算复杂度,因为它避免了耗时的搜索和插值操作,并且由于完全利用用于估计运动参数的二维相干累积特性和增强的重新成像结果而导致的耗费抗噪声性能提高采用高阶运动模型。最后,使用模拟和实际SAR数据进行实验,以显示所提出的方法的性能。

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