Abstract
A novel processing algorithm for multiple elevation beam (MEB) synthetic aperture radar (SAR) systems is presented. MEB SAR is a promising technique to reduce the onboard data amount, and its key processing procedure is subpulse separation which is affected by the topography. In this paper, the echoes received by multiple elevation channels (MEC) are regarded as signals coming from different direction-of-arrive (DOA) angles. Then, the subpulse separation is transformed to DOA estimation. Considering the sparsity of the received signals in spatial domain, the sparse-based DOA estimation algorithm is adopted. After obtaining the DOA angles, the overlapped subpulses are separated. The algorithm can also be applied to other MEC SAR systems. Finally, the effectiveness of the proposed algorithm is confirmed in simulations.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Disclaimer: 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.