Abstract
This paper discusses squint synthetic aperture radar (SAR) imaging in the near space platform and proposes an improved Secondary Range Compression (SRC) Algorithm, Subaperture Secondary Range Compression (SSRC) Algorithm. The key step is to use the subaperture approach in the SRC algorithm. First, the original signals are divided into subapertures in the azimuth direction of the time domain to image independently, and then the sub-bands of the frequency domain are combined to form the final SAR image. The method reduces coupling in the range and azimuth direction of the echo signal under the squint imaging mode, and addresses the problems of squint SAR in near space including overlong synthetic aperture and motion error. Simulation through point targets demonstrates the improvement in azimuth resolution, ISLR and PSLR, which verifies the effectiveness of this proposed SSRC algorithm in near space squint SAR imaging.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
