基于Radon-Fourier变换的雷达目标检测长时间相干积分

Jia Xu, Ji Yu, Yingning Peng, X. Xia
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引用次数: 14

摘要

基于运动目标回波的径向速度、距离行走和多普勒频率之间的内在耦合关系,提出了一种新的雷达目标检测的长时间相干积分方法,即Radon-Fourier变换(RFT)。RFT通过沿距离和速度方向联合搜索实现回波的时空解耦,并通过多普勒滤波器组实现逐次相干积分。此外,还证明了RFT是一种针对跨距离单元(ARU)距离行走目标的广义多普勒滤波组处理。最后,通过数值实验验证了所提方法的有效性。
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Long-time coherent integration for radar target detection base on Radon-Fourier transform
Based on the internal coupling relationship among radial velocity, range-walk and Doppler frequency of moving target's echoes, this paper proposes a novel method, i.e., Radon-Fourier transform (RFT), to realize the long-time coherent integration for radar target detection. The RFT realizes the echoes spatial-temporal decoupling via joint searching along range and velocity directions, as well as the successive coherent integration via the Doppler filter bank. Besides, it is shown that RFT is a kind of generalized Doppler filter bank processing for targets with across range unit (ARU) range walk. Finally, numerical experiments are provided to demonstrate the effectiveness of the proposed methods.
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