Multi-Coset Sparse Imaging Arrays

We develop an efficient structured sparse antenna array architecture for coherent imaging of sparse but otherwise unknown scenes. In this architecture, the array elements are configured in a periodic nonuniform pattern that can be viewed as the superposition of multiple sparse uniform subarrays. For...

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Bibliographic Details
Published in:IEEE transactions on antennas and propagation 2014-04, Vol.62 (4), p.1701-1715
Main Authors: Krieger, James D., Kochman, Yuval, Wornell, Gregory W.
Format: Article
Language:English
Subjects:
Antenna arrays
Antennas
Architecture
Arrays
Compressed sensing
Correlation
Density
Design engineering
Image detection
Image reconstruction
Imaging
millimeter-wave imaging
Multiple signal classification
MUSIC algorithm
Noise
phased-array antennas
sparse arrays
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Summary:We develop an efficient structured sparse antenna array architecture for coherent imaging of sparse but otherwise unknown scenes. In this architecture, the array elements are configured in a periodic nonuniform pattern that can be viewed as the superposition of multiple sparse uniform subarrays. For such structure, we develop an efficient pattern design procedure using co-array analysis, and we describe robust and efficient algorithms implementing the required associated array processing, which comprise scene support recovery, followed by image reconstruction. In addition, we develop a practical method for detecting reconstruction failures when the scene density exceeds the level for which the array was designed, so that false images are not produced. As a demonstration of its viability, the architecture is used to reconstruct a simulated natural scene.
ISSN:0018-926X
1558-2221
DOI:10.1109/TAP.2014.2299819