Journal of Systems Engineering and Electronics ›› 2021, Vol. 32 ›› Issue (3): 545-558.doi: 10.23919/JSEE.2021.000046

• ELECTRONICS TECHNOLOGY • Previous Articles     Next Articles

New slant range model and azimuth perturbation resampling based high-squint maneuvering platform SAR imaging

Xuying XIONG(), Gen LI*(), Yanheng MA(), Lina CHU()   

  1. 1 Institute of UAV Engineering, Army Engingeering University, Shijiazhuang 050003, China
  • Received:2020-08-07 Online:2021-06-18 Published:2021-07-26
  • Contact: Gen LI E-mail:grabrielle@foxmail.com;radarlg@126.com;mamyh11@126.com;1052503919@qq.com
  • About author:|XIONG Xuying was born in 1998. She received her bachelor degree from Army Engingeering University, Shijiangzhuang, China. She is currently pursuing her M.E. degree at the Army Engingeering University. Her main research interests are radar signal processing and radar imaging with curved trajectory. E-mail: grabrielle@foxmail.com||LI Gen was born in 1991. He received his bachelor degree from Beijing Jiaotong University, Beijing, China, in 2014, and his master degree from Ordnance Engineering College, Shijiazhuang, China, in 2016. Since March 2017, he has been working toward his Ph.D. degree at the Army Engingeering University. His main research interests are synthetic aperture radar, compressed sensing, and radar imaging with curved trajectory. E-mail: radarlg@126.com||MA Yanheng was born in 1968. He received his bachelor and master degrees from National University of Defense Technology, Changsha, China, and Ph.D. degree from Xi’an Jiaotong University. He is a professor at the Army Engingeering University. His main research interests are passive detection of low, small and slow targets, testability of cognitive electronic equipment, and UAV-borne synthetic aperture radar. E-mail: mamyh11@126.com||CHU Lina was born in 1983. She received her bachelor and master degrees from China University of Petroleum (East China), Qingdao, China, in 2006 and 2009 respectively. She is a lecturer with Army Engineering University. Her main research interests are radar signal processing and UAV-borne synthetic aperture radar imaging. E-mail: 1052503919@qq.com
  • Supported by:
    This work was supported by the basic research projects of Army Engineering University

Abstract:

Strong spatial variance of the imaging parameters and serious geometric distortion of the image are induced by the acceleration and vertical velocity in a high-squint synthetic aperture radar (SAR) mounted on maneuvering platforms. In this paper, a frequency-domain imaging algorithm is proposed based on a novel slant range model and azimuth perturbation resampling. First, a novel slant range model is presented for mitigating the geometric distortion according to the equal squint angle curve on the ground surface. Second, the correction of azimuth-dependent range cell migration (RCM) is achieved by introducing a high-order time-domain perturbation function. Third, an azimuth perturbation resampling method is proposed for azimuth compression. The azimuth resampling and the time-domain perturbation are used for correcting first-order and high-order azimuthal spatial-variant components, respectively. Experimental results illustrate that the proposed algorithm can improve the focusing quality and the geometric distortion correction accuracy of the imaging scene effectively.

Key words: synthetic aperture radar (SAR) imaging, maneuvering platform, high-squint, azimuth perturbation resampling