Performance Evaluation Method of Unmanned Cluster Communication Network Based on Neural Network

The unmanned aerial vehicle (UAV) communication module is a key infrastructure device that supports UAV systems. UAV communication network is critical for the control, navigation, and task execution of the entire unmanned cluster, especially in practical applications that require rapid response and decision-making. This article establishes an indicator system for communication performance evaluation by studying the evaluation method of UAV cluster communication performance, determinations the selection of evaluation parameter sources, determinations the weight of indicators based on expert experience, inputs a data sample set, and uses neural networks to train the model, the by achieving intelligent evaluation of the effectiveness of UAV communication networks. Simulation experiments show that this method has high evaluation accuracy, is easy to use, and can meet the requirements of unmanned cluster communication network performance evaluation.