Research into Signal Recognition Method Based on Time-frequency Image Classification
Spectrum management and control aims to reduce self-interference and mutual interfer-ence between own frequency equipments.To master the current frequency usage of equipment is the premise of implementing dynamic control of equipment frequency usage and radiation.In prac-tical applications,it is often difficult to ensure the accuracy of the information reported through the frequency equipment,and the equipment signals collected by the monitoring equipment will also show a relatively complex style.The traditional signal recognition methods mainly target at the fixed and frequent signals,and it is difficult to play a role in the occasional and time-varying sig-nals.A signal recognition method based on deep learning is proposed.By constructing time-fre-quency images and using image classification technology,the dynamic spectrum features of signals are extracted to improve the recognition accuracy of occasional and time-varying signals,and the ef-fectiveness of the method are verified through simulation experiments.
万方数据
维普
