Recognition of the Radar Antenna Scanning Period based on Convolutional Neural Network

摘要

Antenna scanning period(ASP) of radar is a crucial parameter in electronic warfare(EW), which is applied to such as radar emitter recognition, the passive localization of hostile radar. All the reported methods about estimating ASP focus on the condition that EW system antenna is stationary, while the estimation of radar ASP is not solved in the condition that EW system antenna scan circularly. In this paper, we address the problem and propose a novel method based on deep learning for ASP recognition in the case that the EW system antenna scan circularly. We design a convolutional neural network(CNN) for recognizing the ASP of radar. Simulation results demonstrate the effectivity and the satisfied recognition accuracy.