Objectives: To improve the recognition accuracy of radar signals under a low signal-to-noise
ratio (SNR). Technology or Method: We propose a novel radar signal recognition method …

Radar signal recognition under low signal-to-noise ratio (SNR) conditions is a critical issue
in modern electronic reconnaissance systems, which face significant challenges in …

针对电磁频谱空间中频谱资源日益稀缺的问题, 新兴的射频机器学习旨在结合电磁频谱领域知识
, 设计专门的机器学习模型, 具有快速, 小样本甚至零样本, 可解释性和高性能的优势 …

In the process of electronic countermeasures, most studies of radar signal recognition focus
on Additive White Gaussian Noise (AGWN) channel scenarios, while pay less attention to …

Low probability of intercept (LPI) radar signal recognition under low signal-to-noise ratio
(SNR) is a challenging task within electronic reconnaissance systems, particularly when …

It is difficult and costly to obtain sufficient label samples in an open environment, and the
study of small sample problem has become an important direction in the field of signal …

Focusing on solving the problem of small sample signal modulation recognition, the
theoretical feasibility of using Support Vector Machine (SVM) for modulation recognition is …

着眼于解决小样本信号调制识别问题, 该文首先研究了利用支持向量机(SVM)
进行分类识别的理论可行性; 其次根据统计学习理论, 对利用生成对抗网络(GAN) …

With the electromagnetic spectrum more congested than ever, the task of passively
monitoring the spectrum to detect, separate, identify and locate emitters is fraught with …

A convolutional neural network (CNN) based on Choi-Williams Distribution (CWD)
spectrogram and inception module is proposed for radar signal recognition. It is used in a …