• DEFENCE ELECTRONICS TECHNOLOGY •

### Airborne sparse flight array SAR 3D imaging based on compressed sensing in frequency domain

He TIAN(), Chunzhu DONG(), Hongcheng YIN(), Li YUAN()

1. 1 Science and Technology on Electromagnetic Scattering Laboratory, Bejing Insititute of Environment Features, Beijing 100854, China
• Received:2020-11-23 Online:2023-02-18 Published:2023-03-03
• Contact: He TIAN E-mail:tianhe0407@126.com;dongcz207@163.com;yinhc207@126.com;ayuanli@163.com
• About author:
TIAN He was born in 1991. She received her Ph.D. degree in the University of Chinese Academy of Sciences in 2018. Currently she is an engineer in the Science and Technology on Electromagnetic Scattering Laboratory, Bejing Institute of Environment Features, Beijing, China. Her research interests include electromagnetic feature extraction and recognition, radar 3D imaging, and inverse scattering transformation. E-mail: tianhe0407@126.com

DONG Chunzhu was born in 1981. He is a Ph.D. and a researcher in Science and Technology on Electromagnetic Scattering Laboratory, Bejing Insititnte of Environment Features, Beijing, China. His research interests are radar target characteristics, target recognition and artificial intelligence. E-mail: dongcz207@163.com

YIN Hongcheng was born in 1967. He is a researcher in Science and Technology on Electromagnetic Scattering Laboratory, Beijing, China. His research interests are electromagnetic scattering and inverse scattering, radar target characteristics, target recognition, etc. E-mail: yinhc207@126.com

YUAN Li was born in 1977. She is a researcher in Science and Technology on Electromagnetic Scattering Laboratory, Beijing, Bejing Insititnte of Environment Features, China. Her research interests are electromagnetic feature extraction and recognition, artificial intelligence, radar target characteristics, etc. E-mail: ayuanli@163.com

Abstract:

In airborne array synthetic aperture radar (SAR), the three-dimensional (3D) imaging performance and cross-track resolution depends on the length of the equivalent array. In this paper, Barker sequence criterion is used for sparse flight sampling of airborne array SAR, in order to obtain high cross-track resolution in as few times of flights as possible. Under each flight, the imaging algorithm of back projection (BP) and the data extraction method based on modified uniformly redundant arrays (MURAs) are utilized to obtain complex 3D image pairs. To solve the side-lobe noise in images, the interferometry between each image pair is implemented, and compressed sensing (CS) reconstruction is adopted in the frequency domain. Furthermore, to restore the geometrical relationship between each flight, the phase information corresponding to negative MURA is compensated on each single-pass image reconstructed by CS. Finally, by coherent accumulation of each complex image, the high resolution in cross-track direction is obtained. Simulations and experiments in X-band verify the availability.