The coherent accumulation of echo signals of high-speed moving targets has always been a research hotspot for domestic and foreign scholars. Aiming at the problem that the time reversing transform， the second-order Keystone transform and LV’s distribution （TRT-SKT-LVD） algorithm loses velocity information in the process of accumulation， a time reversing transform， the first-order Keystone transform and Radon transform （TRT-KTR） algorithm is proposed to achieve velocity separation and phase-coherent accumulation of moving targets. The velocity information of the target is separated by time reversal and the impact of the abrupt point caused by noise is eliminated by low pass filter and linear smoothing method. The first order Keystone transform is used to correct the range migration caused by the target velocity. The Radon transform is used to estimate the fuzzy number of velocity and compensate to realize phase-coherent accumulation. Simulation results show that the algorithm can effectively separate and accumulate the velocity components of the target， and has a low computational cost. Combined with TRT-SKT-LVD， the joint algorithm can accumulate 3D information of target distance， speed and acceleration， and realize multi-target detection.