Radar Compressed Sensing Imaging Method with Two-Dimensional Separable Sampling

Abstract:

A radar compressed sensing imaging method with 2-D separable sampling is proposed in this paper. Instead of converting the radar imaging problem into two 1-D compressed sensing problem, we use the 2-D Separable Projections to solve it directly. Unlike the 2-D separable sampling in visible imaging, the range and azimuth which are the two dimensions of the radar imaging couple with each other. This Coupling increases the storage and computation in radar compressed imaging, therefore some de-coupling processing using in Range Doppler algorithm are adopted in the proposed method to construct the 2-D separable sampling data. Accordingly the two dimensional scene has been reconstructed with the proposed 2-D compressed sensing algorithms. Compared with conventional compressed sensing imaging methods, the new method has reduced the memory usage and complexity with imaging performance improvement.

• Periodical: Advanced Materials Research (Volumes 989-994)
• Pages: 3755-3758
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.989-994.3755
• Online since: July 2014
• Authors: Shu Hong Jiao*, Lin Tang, Xue Liu, Huan Qi
• Keywords: 2-D Reconstruction Algorithm, 2-D Separable Sampling, Compressed Sensing, Radar Imaging

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