Abstract: Aiming at the problem that the SNR of the UAV target rotor′s echo is low make difficult to detect and identify the target under the complex clutter background environment, a detection and identification method of the rotor UAV based on correlation detection is proposed. First, this method detects target by signal correlation, obtains the initial phase difference of each rotor of the UAV. Then, based on the correlation detection results, accumulates echo signals to improve the SNR. Finally, time-frequency analysis of the echo signals after accumulated to obtain the target feature information of the UAV, so as to detect and recognize the UAV target more effectively. The simulation results show that the correlation detection methods can improve the target detection performance under a SNR conditions, and accumulate the echo signals for target recognition, which can more effectively extract the target characteristics of the rotor UAV.