Abstract
This paper successfully implements compressed sensing (CS) to a near-field wideband 3-D synthetic aperture radar (SAR) imaging system. SAR data are measured at a low percentage of random-selected positions on a uniform grid of planar aperture in the strip map mode. the near-field 3-D range migration algorithm (RMA) is used in combination with the CS principle to reconstruct the 3-D image via l 1 regularized least-square approach. Experiments were performed with Q-band stepped-frequency monostatic strip map SAR imaging system on a blue foam embedded with eight rubber pads and one copper square chip. the results of the experiments show near-field 3-D image of the specimen under test (SUT) can be reconstructed efficiently from low percentage of the full measurement positions, which largely lessens the data collection load. the reconstructed image was better focused and denoised. © 2012 IEEE.
Recommended Citation
Z. Yang and Y. R. Zheng, "Near-field 3-D Synthetic Aperture Radar Imaging Via Compressed Sensing," ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings, pp. 2513 - 2516, article no. 6288427, Institute of Electrical and Electronics Engineers, Oct 2012.
The definitive version is available at https://doi.org/10.1109/ICASSP.2012.6288427
Department(s)
Electrical and Computer Engineering
Keywords and Phrases
3-D radar imaging; compressed sensing (CS); Near-field; nondestructive testing and evaluation (NDT&E); synthetic aperture radar (SAR)
International Standard Book Number (ISBN)
978-146730046-9
International Standard Serial Number (ISSN)
1520-6149
Document Type
Article - Conference proceedings
Document Version
Citation
File Type
text
Language(s)
English
Rights
© 2024 Institute of Electrical and Electronics Engineers, All rights reserved.
Publication Date
23 Oct 2012
