Open Access2D SAR imaging scheme based on compressive sensing
Author(s) -
Zhang Xin,
Huang Puming,
Li Xiaohui
Publication year - 2014
Publication title -
electronics letters
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.375
H-Index - 146
eISSN - 1350-911X
pISSN - 0013-5194
DOI - 10.1049/el.2013.3253
Subject(s) - compressed sensing , baseband , synthetic aperture radar , computer science , inverse synthetic aperture radar , remote sensing , radar imaging , signal (programming language) , radar , side looking airborne radar , electronic engineering , computer vision , continuous wave radar , artificial intelligence , engineering , telecommunications , geology , bandwidth (computing) , programming language
Synthetic aperture radar (SAR) processing is assumed to start with a demodulated baseband signal and attempt to solve ground reflectivity. An expression of two‐dimensional SAR echo data in the discrete domain is presented. To meet the requirements of the processing power and reduce the storage, a compressive sensing framework is adopted to solve the ground reflectivity. By a small number of signal samplings, the imaging is constructed efficiently and has a higher resolution. Promising results were obtained by several experiments.