Abstract: In order to solve the problem of low accuracy in lateral velocity measurement of multi-angle moving targets with millimeter-wave radar, a wide field of view lateral velocity estimation algorithm based on correlation interferometry is proposed. The algorithm firstly estimates and reconstructs the echo signal through the highest frequency of the target signal spectrum to reduce the influence of echo signal noise on the phase extraction of the correlation signal, and then establishes the relationship between the interferometric frequency and lateral velocity using the correlation interferometry method, and angle estimation is introduced to eliminate the uncertainty of interferometric frequency, so as to realize the lateral velocity estimation of the moving target in the wide field of view range. Simulation results show that the proposed algorithm can obtain good velocimetry accuracy in single-target and multi-target scenarios, and the velocimetry accuracy outperforms the track fitting algorithm and the phase difference algorithm in the case of low signal-to-noise ratio. The effectiveness of the proposed algorithm is verified by the real measurement of Texas Instruments AWR2243 cascade radar.