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The drone flight environment contains a large amount of noise and interference signals, making it difficult to confirm the frequency band and parameters of multiple drone target detection and remote control signals, resulting in limited recognition error and speed. In order to obtain rapid drone target position information, a rapid drone target position recognition method based on detection and remote control signals is proposed. Calculate the amount of drone remote control control, set up the simulation process of drone remote control signal, use the weighted average method to obtain the initially generated high-quality drone remote control signal, analyze the carrier waveform of the drone remote control signal, construct the drone target position coordinate system, weigh and fuse the weights of various drone flight environment feature vectors, and calculate the distance parameter between the drone target and the landmark distance, Solve the attitude angle of ground remote control signal transmission, apply feature matching detection method, and quickly identify the target position of unmanned aerial vehicles. The experimental results show that after integrating single target and multi target experimental scenarios, the recognition error has been reduced by 6.2m and 9.3m, respectively, while the position recognition speed has been significantly improved.