Modulation Recognition of Overlapping Radar Signals Under Low SNR Based on Se-Incepatnet
Hao Wang, Weibo Huo, Yuchun Lu, Jifang Pei, Yulin Huang · IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium · 2022
In the field of modern electronic reconnaissance, due to the complex electromagnetic environment and the denser pulse stream, multiple radar signals will be received simultaneously. These radar signals overlap in the time domain and frequency domain, which makes modulation recognition difficult, especially under low signal-to-noise ratio (SNR). This paper proposes a Squeeze-and-Excitation InceptionNet with an adaptive threshold (SE-IncepAtNet) to deal with the above problem. The network includes an Inception block to extract features of different receptive fields and reduces the influence of noise through a Squeeze-and-Excitation (SE) block. An adaptive threshold block is used to provide adaptive thresholds, avoiding the difficulty of threshold selection in multi-classification tasks. The simulation of five typical radar signals shows that the proposed method is robust and effective.