The integration and detection performance for the maneuvering targets may slide down due to the defocusing effects of the range migration and the Doppler frequency migration in the long integration time.To address these issues

we propose a fast non-searching method based on frequency axis reversal and generalized autocorrelation function.In this algorithm

the frequency axis reversal transform is applied to correct the range migration in the range frequency domain.Then the received signal becomes cubic phase signal and both generalized autocorrelation function and generalized scaled Fourier transform (GSCFT) are applied to finish the signal reduction and the estimation of the moving target.Finally

estimated parameters are employed to dechirp the echo and the target is well focused in the range-Doppler domain.Compared with the existing methods such as Keystone

GRFT (Generalized Radon Fourier Transform)

RLVD (Radon-Lv's Distribution) and RFRFT (Radon Fractional Fourier Transform)

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.Several simulation experiments are provided to demonstrate the effectiveness of the proposed algorithm.