پديدآورندگان :
EsmaeilZadeh Ahmad ahmadelect@gmail.com Department of Electrical Engineering, Faculty of Engineering, University of Guilan, 41635-3756, Rasht, Iran. , Zanj Bahman zanj@guilan.ac.ir Department of Electrical Engineering, Faculty of Engineering, University of Guilan, 41635-3756, Rasht, Iran. , Nahvi Manoochehr nahvi@guilan.ac.ir Department of Electrical Engineering, Faculty of Engineering, University of Guilan, 41635-3756, Rasht, Iran.
كليدواژه :
Synthetic Aperture Radar , Compressive sensing , l1 minimization , Nesterov’s algorithm.
چكيده فارسي :
Synthetic Aperture Radar (SAR) is a 2-D imaging technique. In this technique, to reconstruct high resolution images, wide bandwidth transmission signal and short length antenna are required and leading large data storage, high speed A/D converter (ADC) and short swath. To improve these drawbacks, using a recent developed theory known as compressive sensing (CS), it is possible to reconstruct high resolution image using undersampled data. This paper presents a new reconstruction algorithm based on Nesterov’s algorithm. The simulation demonstrates promising results and indicates that the proposed algorithm has the advantage of high speed of convergence and accuracy.
