Abstract: In the detection for the maneuvering target, the integration and detection performance for the moving targets may slide down due to the defocusing effects of the range migration and the Doppler frequency migration caused by target radial velocity and acceleration. To address these issues, a fast nonsearching method based on fast timefrequency axis reversal and generalized scaled Fourier transform is proposed. In this algorithm, the frequency axis reversal transform is firstly applied to correct the range migration. Then, the received signal becomes the linear frequency modulated (LFM) signal, and both WignerVille distribution (WVD) function and generalized scaled Fourier transform are applied to estimate the acceleration and velocity of the moving target. Finally, the moving target is well focused in the rangeDoppler domain. Compared with the existing methods, the presented algorithm can fast eliminate the range migration and obtain the motion parameters without any searching procedure and can achieve a good balance between the computational cost and the detection ability as well as parameters estimation performance. Several simulation experiments are provided to demonstrate the effectiveness of the proposed algorithm.