Speaker: Feng Xu

Affiliation: School of Information Science and Technology, Fudan University

Academic title: Professor

Abstract:

This talk introduces recent progress on SAR imaging and simultaneous localization of multirotor UAV-borne miniaturized synthetic aperture radar (MiniSAR). Firstly, an error model is established, which accurately describe the effects of UAV translation, rotation and vibration movements. Based on this model, a segmental aperture imaging (SAI) algorithm is proposed, which splits the platform trajectory into segments, performs motion compensation and autofocusing in each segment, and then stitches together segment by segment to form a complete SAR image. This method does not require auxiliary positioning data such as GNSS/INS, and can use the parameters in motion compensation to estimate and reconstruct the 3D trajectory of the UAV. As a result, simultaneous localization and imaging (SLAI) can be implemented, which is demonstrated for the first time on the FUSAR-Ku system, and the results show that the algorithm can achieve the ideal focusing effect and realize the autonomous positioning ability with decimeter accuracy.

Biography:

Feng Xu received the B.E. in information engineering from Southeast University, Nanjing, China, in 2003, and the Ph.D. degree in electronic engineering from Fudan University, Shanghai, China, in 2008. From 2008 to 2010, he was a Post-Doctoral Fellow with the NOAA/STAR, Camp Springs, MD, USA. From 2010 to 2013, he was a Research Scientist with Intelligent Automation Inc., Rockville, MD, USA. Since 2013, he has been with the School of Information Science and Technology, Fudan University. He has published more than 90 articles in peer-reviewed journals and coauthored three books, among many conference papers and patents. His research interests include electromagnetic scattering theory, synthetic aperture radar (SAR) information retrieval, and intelligent radar systems.