Biography: Jia Xu received the B.S. and M.S. degree from radar academy of Air Force, Wuhan, China in 1995 and 1998, and the Ph.D. degree from Navy Engineering University, Wuhan, China, in 2001. He worked as a Postdoctor in Tsinghua University during 2002–2005 and won the Outstanding Postdoctor Award in Tsinghua University in 2005. He was an Associated Professor in the Radar Academy of Air Force during 2006–2009 and was an Associated Professor in Tsinghua University during 2009–2012. Currently, he is a full professor in the School of Information and Electronic, Beijing Institute of Technology (BIT). His current research interests include detection and estimation theory, SAR/ISAR imaging, target recognition, array signal processing and adaptive signal processing. He has authored or coauthored more than 150 papers. He received the second-order National Invention Award in 2007. He has been supported by the Outstanding Youth Teacher Training Plan of BIT in 2012 and by the New Century Excellent Talents Supporting Plan of Ministry of Education of China in 2013. He is a Fellow of IET and a senior member of IEEE. He is a senior member of the Chinese Institute of Electronics (CIE), and serving as a member of the Academic Working Committee of CIE. He is an Associated Editor of four Chinese coral journals all about radar and its applications.

Title: Focus-Before-Detection Radar Signal Processing Methods and its Applications
Abstract: The working environment of modern radar is becoming more and more complicated. The high-speed, highly maneuvering and weak targets with low RCS are substantially emerging in air, space, sea and ground. Also, strong clutter and jamming are seriously affecting the effective radar detection. To cope with above problems, this talk will give a deep discussion on a new parametric signal processing approaches, i.e., Focus-Before-detects (FBD), based on long-time coherent integration. With signal modeling of the moving targets, clutter and jamming, the Radon-Fourier transform (RFT) and generalized Radon-Fourier transform (GRFT) are introduced to effectively project the echoes’ energy into a low-dimensional parameter space. Compared to the existing methods, FBD can obtain higher SNR gain and well overcome the effects of across range unit, across Doppler unit and across beam unit for a target with arbitrary motions in a long integration time. By jointly exploiting the information of envelope and phase, the focused target image can be generated and Doppler ambiguity can be solved as well. Also, this talk will extend the concept of FBD into the space and frequency domain to form a new signal processing frame, i.e., space-time-frequency focus-before-detects (STF-FBD), for the future radar signal processing in a much more complicated detection environment.