Network Reconnaissance - Short-wave band signal density, complex electromagn-etic environment and relatively limited detection equipment often lead to low detection efficiency. Aiming at this situation, a scheduling method of short-wave detection equipment based on Hopfield neural network is proposed to carry out cooperative detection of short-wave signals. In this paper, the definition of effective detection probability is given, the constraints of effective detection are sorted out, and the mathematical model of detection equipment scheduling is designed, which is realized by Hopfield neural network. This method uses the global optimization technology to schedule multiple detection sensors, so that different detection sensors can cooperate reasonably and maximize the overall benefit of detection system. Simulation results show the feasibility and effectiveness of the proposed method.