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Polynomial Rotation-Polynomial Fourier Transform of Ultrafast Maneuvering Targets Detection

机译:超快速机动目标检测的多项式旋转多项式傅里叶变换

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For coherent integration detection of ultrafast maneuvering targets with modern radar, a novel long-time coherentintegration algorithm, Polynomial Rotation-Polynomial Fourier Transform (PRPFT), is proposed to compensate acrossrange unit range walk (RW) and Doppler frequency migration (DFM) simultaneously caused by super-high speed andstrong maneuvering. First, RW can be corrected by the polynomial rotation transform (PRT) via rotating the coordinatelocations of echo data. Then, the polynomial Fourier transform (PFT) can realize the compensation of DFM and coherentintegration. To reduce the computational complexity, one decision method is proposed to search the multidimensionalparameter space. Finally, numerical experiments are provided to validate the effectiveness of the proposed method.
机译:对于现代雷达超快机动目标的连贯整合检测,一种新的长时间连贯 Contegration算法,多项式旋转 - 多项式傅里叶变换(PRPFT),以补偿跨越 范围单位范围步行(RW)和多普勒频率迁移(DFM)同时引起超高速度和 强大的机动。首先,通过旋转坐标,可以通过多项式旋转变换(PRT)来校正RW 回声数据的位置。然后,多项式傅里叶变换(PFT)可以实现DFM和相干的补偿 一体化。为了降低计算复杂性,提出了一种决定方法来搜索多维数据 参数空间。最后,提供了数值实验以验证所提出的方法的有效性。

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