 Prof. Cheng Chi, Institute of Acoustics, Chinese Academy of Sciences
Personal profile: Cheng Chi is currently a Professor with the Institute of Acoustics, Chinese Academy of Sciences. His research interests include signal processing for 3-D acoustical imaging, wideband array design, synthetic aperture sonar, noise cancelation, underwater acoustical communication, ultrasound medical imaging, and broadband acoustical current measurement.
He received the B.Eng. degree in electronic engineering from the University of Electronic Science and Technology of China, Chengdu, China, in 2011, and the Ph.D. degree in signal and information processing from Peking University, Beijing, China, in 2016. From 2016 to 2019, he was a Research Fellow with the Acoustic Research Laboratory, National University of Singapore.
Presentation title: High-performance spatial beamforming and temporal feature enhancing for underwater acoustic sensing
Abstract: Acoustic arrays have been widely used in underwater acoustic sensing. Spatial beamforming and temporal signal detection are indispensable for underwater signal processing. Our recent progresses in high-performance spatial beamforming and temporal feature enhancing will be reported in the presentation. We propose a new spatial beamforming using joint L1 and total variation (L1-TV) norm regularization. The accelerated version of the L1-TV beamforming is also given. Its computational load is only slight higher than conventional beamforming. In temporal processing, to detect tonals in received signals, we develop a deep-learning-based line enhancer (DLE). The DLE does not need massive data to train, but it can obtain much higher processing gain and work at lower signal-to-power ratio, than conventional adaptive line enhancers. The DLE is promising to improve the capability of detecting weak targets of passive sensing systems. Some simulation and experiment results are shown to demonstrate the superiority of our recently proposed spatial and temporal processing methods. |