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Talk 1: Inverse synthetic aperture radar imaging of target with complex motions

Speaker: Wang Yong

Affiliation: Harbin Institute of Technology

Academic title: Professor

Abstract:

Inverse synthetic aperture radar (ISAR) imaging of target with complex motion is very important and difficult in the field of radar imaging. For the target with complex motion, the rotational velocity and rotational axis are time varying, and this will induce the time varying character for the Doppler frequency of the received signal. Then, the received signal can be characterized as multi-component polynomial phase signal (PPS) for the target with complex motion, and the time frequency analysis for the PPS should be implemented to improve the radar image quality. This report will introduce three kinds of methods, including the parameters estimation, the time frequency representation and the signal decomposition technique for the treatment of multi-component PPS, and combined with the range instantaneous Doppler (RID) technique, the radar image quality can be improved significantly for the target with complex motion. Finally, the application of ISAR imaging technique is introduced.

Biography:

Dr. Yong Wang is currently a professor with the institute of electronic engineering technology in Harbin Institute of Technology. His main research interests include time frequency analysis of the nonstationary signal, radar signal processing, and their applications in synthetic aperture radar imaging. He has published more than 170 papers in IEEE Trans. on GRS, IET Signal Processing, Signal Processing, etc. He received the National Science Fund for Distinguished Young Scholars, the National Natural Science Foundation for Outstanding Young Scholars, the Program for New Century Excellent Talents in University of Ministry of Education of China, and the Excellent Doctor’s Degree Nomination Award in China. He has been selected as the editorial board for Acta Electronica Sinica, etc., and selected as an IET Fellow.

 

Important dates

Paper Submission Deadline:
30 September, 2023
Paper Acceptance Notification:
20 October, 2023
Camera-ready Paper Submission:
5 November, 2023
Registration open date:
20 October, 2023
Conference Date:
3-5 December, 2023

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