Signal Correction in UAV Swarm Acoustic Communication

UAVs communicate with each other by simple commands using sound, which has the advantages of small interference, autonomous attenuation and proximity interconnection. It can provide emergency support in case of failure of other means of communication such as electromagnetic wave. However, the microphone on the drone acquires a signal from other drones will suffer severe distortion, because of the high-speed motion. That further results in the transmitted signaling information cannot be resolved. In this paper, a distorted signal correction scheme based on generalized S-transform and morphological filtering is proposed to recover the distorted signal. Because the proposed method does not need to know the trajectory of UAV, and does not need to establish geometric model, it has strong practicability. The effectiveness of the proposed method is verified by a simulation case.