z-logo
open-access-imgOpen Access
Simplified and approximation autofocus back‐projection algorithm for SAR
Author(s) -
Guo Zhenyu,
Zhang Hongbo,
Ye Shaohua
Publication year - 2019
Publication title -
the journal of engineering
Language(s) - English
Resource type - Journals
ISSN - 2051-3305
DOI - 10.1049/joe.2019.0406
Subject(s) - autofocus , synthetic aperture radar , computer science , algorithm , computer vision , residual , projection (relational algebra) , artificial intelligence , fourier transform , mathematics , optics , focus (optics) , mathematical analysis , physics
Due to accuracy limited inertial measurement unit systems, residual synthetic aperture radar (SAR) motion errors need to be compensated by autofocus method. Back‐projection (BP) algorithm is a time‐domain imaging process suitable for arbitrary trajectory and imaging on digital elevation model. However, traditional SAR autofocus algorithm requires a Fourier transform relationship between image domain and phase history domain. This study introduces an autofocus algorithm based on phase‐error estimation. By selecting the image sharpness as target cost function, the exact phase error is directly estimated in closed form by solving the fourth‐order polynomial with simplified approach. Another straightforward approximation autofocus method is also proposed to simplify calculation with high accuracy. The vast storage requirement for filtered BP data is reduced through a trade between time and space. Computer simulation and airborne experimental results validate the efficiency and efficacy of the proposed method.

The content you want is available to Zendy users.

Already have an account? Click here to sign in.
Having issues? You can contact us here