CISS 2023

 

Title:

Airborne Microwave Photonic SAR Autofocus Imaging Technology

 

Summary:

With the continuous development of synthetic aperture radar (SAR) technology and demands, the resolution of radar imaging will be higher and higher. At present, the most advanced microwave photonic SAR system can achieve a signal bandwidth of 6 GHz or even dozens of GHz, which greatly increases the radar's ability to obtain information from land, sea, and air. The rapid improvement of resolution also poses a greater challenge to the high-precision and large-scene imaging of airborne microwave photonic SAR, and the core problem is how to achieve high-efficiency and high-precision autofocus processing. This report first analyzes the problem of unstable system parameters in microwave photonic SAR systems and its solutions. Then, several types of full-aperture autofocus imaging algorithms proposed by our group for microwave photonic SAR systems are introduced, and the advantages and disadvantages of these algorithms are compared. Finally, this report summarizes and looks forward to the future development trend of microwave photonic SAR.

 

Biography:

Jianlai Chen was born in November 1990 and holds a Ph.D. degree. Dr. Chen is an Associate Professor/doctoral supervisor in the School of Automation, at Central South University. His research interests include radar imaging and radar image recognition. He received his bachelor's degree in electronic information engineering from Xidian University in 2013, and his Ph.D. degree in State Key Laboratory of Radar Signal Processing from Xidian University in 2018. He has presided over several national projects such as the National Natural Science Foundation of China. He has published more than 50 papers in high-level academic journals, and 4 papers published as the first author have been selected as ESI highly cited papers and 1 ESI hot paper. He serves as an IEEE Senior Member, an associate editor of IEEE JMASS, an editorial board member of the Journal of Electronics and Information Technology, and a young editorial board member of the Journal of Radars. He has reviewed more than 100 IEEE Trans. on GRS papers. He has won the 2019 Outstanding Doctoral Dissertation (Nomination Award) of the China Electronic Education Society, the 2020 Shaanxi Provincial Outstanding Doctoral Dissertation, and the 2022 Radar Future Star. In 2022, he was funded by the China Association for Science and Technology Young Elite Scientists Sponsorship Program.