Abstract

This paper concerns the super-resolution method for linear array synthetic aperture radar (LASAR). Limited by the length of the linear array, the cross-track resolution is always low. Furthermore, with the large number of along-track (AT) samples, the computational complexity is always very large. To overcome the former disadvantage, this paper employs an iterative adaptive approach (IAA) algorithm to reconstruct the scatterer's reflectivity in the AT and cross-track (CT) direction. To overcome the last disadvantage, by exploiting the sparse characteristics of the 3D scene, this paper applies a sparse array antenna in LASAR system to reduce the samples. Compared with the traditional method, the presented IAA methods can obtain a better resolution. The simulation and experimental results validate the effective of performance of the presented method.

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 call

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.