Speaker: Lei Huang
Affiliation: Shenzhen University
Academic title: Professor
Honorary title: Dean
Abstract:
UAV-mounted high-resolution imaging radars, including synthetic aperture radar imaging and millimeter-wave point cloud radar imaging, possess the ability to perceive targets/scenes with all-day, all-weather, and high-resolution capabilities. These radars have significant applications in public safety, disaster relief, agricultural ecology monitoring, pollution assessment, and more. However, current high-resolution imaging radars produce vast amounts of imaging data due to their large signal bandwidth, high sampling rates, and high quantization precision. The surge in radar imaging data presents severe challenges for UAV platforms in terms of energy consumption, storage, transmission, computational power, etc. This report focuses on the research and chip design of one-bit imaging radar technology. It constructs a theoretical framework and integrated chip design based on single-bit quantization sampling for radar imaging, systematically addressing the technical bottlenecks in energy consumption, storage, transmission, computational power, and intelligent recognition.
Biography:
Lei Huang (M’07-SM’14) received the B. Sc. and Ph. D. degrees in electronic engineering from Xidian University, Xi’an, China, in 2000 and 2005, respectively. He is currently with the College of Electronics and Information Engineering, Shenzhen University, as a Distinguished Professor. He is now the Executive Dean of the College of Electronics and Information Engineering, Shenzhen University.
Dr. Huang severed as a Senior Area Editor of IEEE Transactions on Signal Processing (2019-2023), and an Associate Editor of IEEE Transactions on Signal Processing (2015-2019). He also was on the editorial boards of Elsevier-Digital Signal Processing (2012-2019) and has been on the editorial boards of IET Signal Processing (2017-present), and an elected member of Sensor Array and Multichannel (SAM) Technical Committee of the IEEE Signal Processing Society (2016-2022).