Abstract Rockfalls influence the safety of the surrounding infrastructure and the normal operation of transportation lines. The application of synthetic aperture radar (SAR) technology is a new method of rock-fall monitoring and disaster prediction. This paper introduces a novel method to velocity estimation of rock-fall target utilizing SAR with low pulse repetition frequency (PRF) sampling. As is known to us, when PRF is less than the Doppler spectrum bandwidth, rock-fall target suffer both Doppler centroid frequency ambiguity and Doppler spectrum ambiguity. Under this condition, the traditional velocity estimation method in the Doppler domain is out of action. To solve above problem, this paper designs an improved reconstruction filter bank to reconstruct the Doppler spectrum of rock-fall target, and then Doppler in-band energy and Doppler out-of-band energy ratio of rock-fall target is utilized to estimate the velocity of rock-fall target. Simulation experiment results show the effectiveness of proposed method.

中文翻译：

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低PRF采样多通道SAR系统落石速度估计

摘要 落石影响周边基础设施的安全和运输线路的正常运行。合成孔径雷达（SAR）技术的应用是一种新的落石监测和灾害预测方法。本文介绍了一种利用低脉冲重复频率（PRF）采样的SAR进行落石目标速度估计的新方法。正如我们所知，当 PRF 小于多普勒频谱带宽时，落石目标同时遭受多普勒质心频率模糊和多普勒频谱模糊。在这种情况下，传统的多普勒域速度估计方法就失效了。针对上述问题，本文设计了一种改进的重构滤波器组来重构落石目标的多普勒频谱，然后利用落石目标的多普勒带内能量和多普勒带外能量比来估计落石目标的速度。仿真实验结果表明了该方法的有效性。