Abstract: The detection and recognition of helicopter rotor acoustic signals are the important problems in the field of low altitude target warning. The current algorithms treated detection and recognition separately, but in practical applications, detection and recognition is a whole process. In order to solve the above problems, this paper proposes an integrated detection and recognition algorithm for helicopter rotor acoustic signal based on deep learning. Firstly, the target is detected by fusing feature extraction and support vector machine, and then the signal segments of potential helicopter acoustic targets are classified and recognized based on deep learning. The effect of the algorithm is studied and tested in detail by constructing experimental data. Experimental results show that the detection rate and recognition rate of the algorithm are greatly improved, and the detection accuracy and recognition accuracy are greatly enhanced. The algorithm has high research and application values.