Digital beamforming synthetic aperture radar imaging on received signals based on compressed sensing

Mingjiang Wang; Weidong Yu; Robert Wang; Lei Guo; Xiulian Luo

doi:10.1117/1.JRS.9.096060

24 April 2015 Digital beamforming synthetic aperture radar imaging on received signals based on compressed sensing

Mingjiang Wang, Weidong Yu, Robert Wang, Lei Guo, Xiulian Luo

Author Affiliations +

Journal of Applied Remote Sensing, Vol. 9, Issue 1, 096060 (April 2015). https://doi.org/10.1117/1.JRS.9.096060

Abstract

Digital beamforming synthetic aperture radar (SAR) in elevation is a promising technique to realize the increasing requirements of high-resolution and wide-swath imaging in remote sensing, although it suffers from a dense sampling rate and heavy data volume. This poses serious challenges to onboard transmission and storage of satellites. Additionally, the traditional beamforming technique suffers degraded imaging capacities caused by the incoherence between the received signals of different channels. To overcome these deficiencies, this paper proposes an improved method for the focusing of multichannel SAR raw data based on the framework of compressed sensing (CS). Through adaptive measurement matrix construction for each subchannel, the proposed approach can take the misregistration information of all received signals into account, providing an accurate imagery recovery of sparse reflectivity. Compared with conventional processing, the suggested technique not only provides a more efficient data acquisition scheme for orbital configurations, but also carries the potential to eliminate the migration effects of imaging amplitude and resolution. Furthermore, it is demonstrated that the proposed implementation is equipped with additional imaging benefits, such as superresolution and lower sidelobes. Numerical and experimental results have validated these favorable performances of the suggested strategy.

Citation Download Citation

Mingjiang Wang, Weidong Yu, Robert Wang, Lei Guo, and Xiulian Luo "Digital beamforming synthetic aperture radar imaging on received signals based on compressed sensing," Journal of Applied Remote Sensing 9(1), 096060 (24 April 2015). https://doi.org/10.1117/1.JRS.9.096060

Published: 24 April 2015

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available

Members: $24.00

Non-members: $28.00 ADD TO CART

JOURNAL ARTICLE
14 PAGES

DOWNLOAD PAPER SAVE TO MY LIBRARY

GET CITATION

RIGHTS & PERMISSIONS

Get copyright permission Get copyright permission on Copyright Marketplace

KEYWORDS

Synthetic aperture radar

Radar imaging

Imaging systems

Image resolution

Compressed sensing

Reflectivity

Antennas

Show All Keywords

Keywords/Phrases

Search In:

Publication Years