February 12, 2021

About the speaker

Zhijun Qiao (Member, IEEE) received the Ph.D. degree in applied mathematics from the Institute of Mathematics, Fudan University, Shanghai, China, in 1997.,From 1999 to 2001, he was the Humboldt Research Fellow with the Department of Mathematics and Computer Science, University of Kassel, Kassel, Germany, from 2001 to 2004, where he was a Researcher with the Theoretical Division, Los Alamos National Laboratory, Los Alamos, NM, USA. Since 1997, he has been a Professor with the Department of Mathematics, Liaoning University, Shenyang, China. He is currently the President’s Endowed Professor with the School of Mathematical and Statistical Sciences, The University of Texas Rio Grande Valley, Edinburg, TX, USA. His research interests include nonlinear partial differential equations and their application in radar imaging.

Inverse Problem of Maxwell Equations and Turntable Radar Imaging

In this talk, a filtered adjoint inversion scheme for turntable inverse synthetic aperture radar (ISAR) data is derived for three spatial dimensions from a scalar wave equation model. The proposed data inversion scheme motivates the use of filtered back projection (FBP) and convolution back projection (CBP) imaging algorithms. This presentation also provides a derivation of a general imaging filter needed for accurate near-field FBP and CBP imaging algorithms, which will be shown to reduce to familiar results found in Spherical- Wave ISAR imaging