Prof. Jingjing Wang, Qingdao University of Science and Technology (Invitation talk)
Presentation title: Underwater Acoustic Signal Modulation Recognition Technology based on Feature Fusion and Lightweight Neural Network
Abstract: In order to make full use of the channel resources of underwater acoustic communication, the transmitters often use adaptive modulation and coding technology, which require the receivers to use automatic modulation recognition technology. However, the complex and changeable underwater channel environment with serious noise interference brings great challenges to the receiver to identify the modulation mode correctly. In addition, the real-time communication and the diversity of modulation mode put forward higher requirements for the modulation mode recognition technology. In order to solve the above problems, combined with the classical theory of multi-source specific feature extraction of underwater acoustic signal and the automatic abstract feature extraction method of neural network, we propose the underwater acoustic signal modulation recognition technology based on feature fusion and lightweight Neural Network. We extract the multi-source specific features of underwater acoustic signals according to the inherent differences of different modulation modes, and use the automatic feature extraction ability of lightweight hybrid neural network to extract the abstract features of underwater acoustic signals. Based on the feature fusion theory, the two kinds of features are fused into a more complete and more effective feature set.
Personal profile: Jingjing Wang is a professor and doctoral supervisor of Qingdao University of Science and Technology. She presides over one key national defense science and technology innovation project of the Science and Technology Commission of the Central military Commission; presided over one key project of the NSFC- Shandong Joint Funds, one General Program and one Youth Program of National Natural Science Foundation of China. She has published more than 50 papers in high-level academic journals and important academic conferences, of which 27 SCI papers were published as the first author and corresponding author. 34 Chinese invention patents have been applied by her team. She serves as the vice chairman of Qingdao Branch of the International Computer Association (ACM). She has won the Second Prize of Shandong Province Science and Technology Progress Award (ranking 1), the First Prize of Science and Technology Award of Shandong Province Higher Institutions (ranking 1), the Academic Innovation Award of Natural Science of Shandong Province (ranking 1) and the Youth Science and Technology Award of Qingdao. Her research interests include marine internet of things, intelligent underwater acoustic communications and equipment.
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