The long-time Coherent Integration (CI) is one of the most effective and important techniques to improve radar detection performance for hypersonic weak targets in coherent radar system. Traditional long-time CI algorithms only consider the Range Walk (RW) rather than the scale effect. Actually, with the increase of target’s velocity and the time-bandwidth product of the transmitted signal, the scale effect will appear in the echo signal, which influences the performance of Pulse Compression (PC) and the subsequent CI. In order to address the problem of scale effect during the long-time CI for the hypersonic target, a novel CI algorithm, i.e., SCaled Radon Fourier Transform (SCRFT), is proposed in this paper. The SCRFT can realize intra-pulse and inter-pulse integration for hypersonic target with RW and scale effect. Besides, the proposed algorithm can also estimate target’s velocity. Compared to the traditional long-time CI algorithms, SCRFT can achieve better detection and velocity estimation performance. Finally, numerical simulations are carefully designed to verify the effectiveness of the proposed algorithm.

中文翻译：

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基于标度氡傅立叶变换的相干雷达系统高超声速目标检测与速度估计

长时间相干积分(CI)是提高相干雷达系统中高超声速弱目标雷达探测性能最有效和最重要的技术之一。传统的长时间 CI 算法只考虑 Range Walk (RW) 而不是规模效应。实际上，随着目标速度和发射信号时间带宽积的增加，回波信号中会出现尺度效应，影响脉冲压缩（PC）的性能和后续的CI。为了解决高超声速目标长时间CI过程中的尺度效应问题，本文提出了一种新的CI算法，即SCaled Radon Fourier Transform (SCRFT)。SCRFT可以实现具有RW和尺度效应的高超声速目标的脉冲内和脉冲间积分。除了，该算法还可以估计目标的速度。与传统的长时间 CI 算法相比，SCRFT 可以实现更好的检测和速度估计性能。最后，精心设计了数值模拟来验证所提出算法的有效性。