针对Radon-Fourier变换(RFT)在进行高速微弱目标检测过程中运算量大和实时处理问题，提出频域切变RFT(FSRFT)算法，其在不失积累增益和检测性能的情况下，简化处理过程并降低运算量，且所提方法适合于雷达跟踪过程中的滑窗处理和并行运算。仿真实验结果表明，理想情况下，FSRFT方法的相参积累检测性能接近理论值，并行处理运算量较现有快速方法降低一个数量级。

In the detection of the high-speed and weak targets, Radon-Fourier Transform(RFT) may encounter the problems of heavy computational quantity and real-time processing. To solve the problems, the Frequency Shear Radon-Fourier Transform(FSRFT) is proposed, which simplifies process and decreases computation effectively under the same integration gain and detection performance, and is beneficial to sliding window process and parallel computing for radar tracking as well. The experiment results show that the detection performance can almost achieve the theoretical value under ideal condition, and the parallel processing capability is lower by one order of magnitude than the existing fast methods.