"

Cookies ussage consent

Our site saves small pieces of text information (cookies) on your device in order to deliver better content and for statistical purposes. You can disable the usage of cookies by changing the settings of your browser. By browsing our site without changing the browser settings you grant us permission to store that information on your device.

I agree, do not show this message again.

Compressed sensing approach for UWB-OFDM SAR imaging using greedy algorithms

A. HOSSAIN1,* , I. ELSHAFIEY1

Affiliation

  1. Department of Electrical Engineering, King Saud University, Riyadh, Kingdom of Saudi Arabia

Abstract

Compressed sensing (CS) approach has received significant interest in remote sensing applications recently. Only few attempts however have been reported on CS based UWB-OFDM SAR imaging. This paper presents a novel scheme for high-resolution SAR based on UWB-OFDM system using CS techniques. Enhanced resolution is obtained using UWB-OFDM waveforms and the computational burden is reduced using the CS methods. Sparse imaging methods are developed to deal with UWB-OFDM SAR using greedy algorithms including orthogonal matching pursuit (OMP), regularized OMP (ROMP) and compressive sampling matching pursuit (CoSaMP). Performance of these algorithms is analyzed and compared to conventional imaging techniques based on simulated results..

Keywords

Compressed Sensing (CS); Synthetic Aperture Radar (SAR); Ultra-wideband (UWB); Orthogonal Frequency Division Multiplexing (OFDM); Orthogonal Matching Pursuit (OMP), Regularized OMP (ROMP); Compressive Sampling Matching Pursuit (CoSaMP).

Submitted at: April 22, 2015
Accepted at: May 7, 2015

Citation

A. HOSSAIN, I. ELSHAFIEY, Compressed sensing approach for UWB-OFDM SAR imaging using greedy algorithms, Journal of Optoelectronics and Advanced Materials Vol. 17, Iss. 5-6, pp. 785-789 (2015)