Title :
Application of compressed sensing in spaceborne radar imaging
Author :
Sun, Wenfeng ; Shang, She
Author_Institution :
Sci. & Technol. on Space Microwave Lab., Xi´´an, China
Abstract :
High resolution spaceborne SAR to obtain a wide range of application in recent years, but the real-time imaging algorithm encountered a huge computation challenge. CS(compressed sensing) theory is a novel data collection and coding theory under the condition that signal is sparse or compressible. This paper discusses the CS technology will be introduced to the spaceborne radar imaging algorithm, so the radar can obtain the raw echo data at low sampling, and then down to the ground, the use of CS imaging method to complete the real-time image processing.
Keywords :
data compression; image sampling; radar imaging; radar resolution; spaceborne radar; synthetic aperture radar; CS technology; CS theory; coding theory; compressed sensing; compressible signal; data collection; high-resolution spaceborne SAR; real-time image processing; spaceborne radar imaging algorithm; sparse signal; Compressed sensing; Imaging; Radar imaging; Spaceborne radar; Synthetic aperture radar; Vectors; compressed sensing; high resolution; spaceborne SAR;
Conference_Titel :
Electronics, Communications and Control (ICECC), 2011 International Conference on
Conference_Location :
Ningbo
Print_ISBN :
978-1-4577-0320-1
DOI :
10.1109/ICECC.2011.6067767