Speaker: Zhang Shuanghui

Affiliation: National University of Defense Technology

Academic title: Associate professor

Abstract:

Inverse synthetic aperture radar (ISAR) imaging is becoming increasingly important in space target surveillance. However, the absence of radar echo and the micro-motion parts of space targets will defocus the ISAR images and prevent feature extraction from them. This report will discuss ISAR imaging and feature extraction methods of space targets to alleviate the above problems. Firstly, the sparse imaging technology of space targets is introduced, including sparse Bayesian framework, deep unfolding network and imaging technology of space targets with micro-motion parts. Then, ISAR images-based attitude estimation for the space targets is introduced, and an interesting 3D imaging method for the radar target is discussed.

Biography:

Zhang Shuanghui is currently an associate professor at College of Electronic Science and Technology, National University of Defense Technology. His research interests lie in radar imaging and target recognition. He has authorized more than 30 patents, and published one monograph and more than 50 papers. He has received the National Natural Science Foundation for excellent youth, and won the award of excellent doctoral dissertation of the Chinese Institute of Electronics.