TY - JOUR
T1 - Multi-Channel Lightweight Contrast Prediction Coding for Features Extraction of Radar Emitter Signals
AU - Zhang, Junning
AU - Wei, Zhanyang
AU - Ding, Guoru
AU - Liang, Junli
AU - Zhang, Zefeng
N1 - Publisher Copyright:
© The Author(s) 2024.
PY - 2024/12
Y1 - 2024/12
N2 - This letter presents a novel multi-channel improved contrastive predictive coding (CPC) method to extract signals features. Specifically, to extract low pulse width radar signals features and meet the real-time requirements of signals identification, we design a lightweight encoder to realize the CPC features encoding function. Then, we construct a multi-channel CPC features decoder to mine and extract subtle individual signals features from the perspective of multi-domain and multi-channel information input. Simulation results verify the effectiveness of our proposed method, which can achieve state-of-the-art results in both accuracy and running time compared to the existing optimal methods. All our models and code are available at https://github.com/jn-z/MC-CPC.
AB - This letter presents a novel multi-channel improved contrastive predictive coding (CPC) method to extract signals features. Specifically, to extract low pulse width radar signals features and meet the real-time requirements of signals identification, we design a lightweight encoder to realize the CPC features encoding function. Then, we construct a multi-channel CPC features decoder to mine and extract subtle individual signals features from the perspective of multi-domain and multi-channel information input. Simulation results verify the effectiveness of our proposed method, which can achieve state-of-the-art results in both accuracy and running time compared to the existing optimal methods. All our models and code are available at https://github.com/jn-z/MC-CPC.
KW - Contrastive predictive coding (CPC)
KW - Lightweight encoder
KW - Multi-channel decoder
KW - Signals features extraction
UR - http://www.scopus.com/inward/record.url?scp=85210079633&partnerID=8YFLogxK
U2 - 10.1007/s11063-024-11702-0
DO - 10.1007/s11063-024-11702-0
M3 - 文章
AN - SCOPUS:85210079633
SN - 1370-4621
VL - 56
JO - Neural Processing Letters
JF - Neural Processing Letters
IS - 6
M1 - 246
ER -