Affiliation:
1. School of Information Engineering, China Jiliang University, Hangzhou 310018, China
2. Jptek Corporation Limited Hangzhou, Hangzhou 310018, China
Abstract
Low probability of intercept (LPI) radar signals are widely used in electronic countermeasures due to their low power and large bandwidth. However, they are susceptible to interference from noise, posing challenges for accurate identification. To address this issue, we propose an LPI radar signal recognition method based on feature enhancement with deep metric learning. Specifically, time-domain LPI signals are first transformed into time–frequency images via the Choi–Williams distribution. Then, we propose a feature enhancement network with attention-based dynamic feature extraction blocks to fully extract the fine-grained features in time–frequency images. Meanwhile, we introduce deep metric learning to reduce noise interference and enhance the time–frequency features. Finally, we construct an end-to-end classification network to achieve the signal recognition task. Experimental results demonstrate that our method obtains significantly higher recognition accuracy under a low signal-to-noise ratio compared with other baseline methods. When the signal-to-noise ratio is −10 dB, the successful recognition rate for twelve typical LPI signals reaches 94.38%.
Funder
Key Research and Development Projects in Zhejiang Province
Subject
Electrical and Electronic Engineering,Computer Networks and Communications,Hardware and Architecture,Signal Processing,Control and Systems Engineering
Reference44 articles.
1. LPI radar: Fact or fiction;Schleher;IEEE Aerosp. Electron. Syst. Mag.,2006
2. Signal design and processing for noise radar;Galati;EURASIP J. Adv. Signal Process.,2022
3. Galati, G., and Pavan, G. (2022, January 14–18). Noise Radar Technology and Quantum Radar: Yesterday, Today and Tomorrow. Proceedings of the 2022 IEEE 2nd Ukrainian Microwave Week (UkrMW), Kharkiv, Ukraine.
4. Dunde, V., Nallapati, S., Thakkallapally, S.R., Chetla, B.P., and Kethireddy, S.P. (2022, January 28–30). Design and Analysis of LPI Radar Waveforms. Proceedings of the 2022 International Conference on Recent Trends in Microelectronics, Automation, Computing and Communications Systems (ICMACC), Hyderabad, India.
5. Noise radar—Overview and recent developments;Savci;IEEE Aerosp. Electron. Syst. Mag.,2020