DocumentCode :
57584
Title :
Multi-Coset Sparse Imaging Arrays
Author :
Krieger, James D. ; Kochman, Yuval ; Wornell, Gregory W.
Author_Institution :
Dept. of Electr. Eng. & Comput. Sci., Massachusetts Inst. of Technol., Cambridge, MA, USA
Volume :
62
Issue :
4
fYear :
2014
fDate :
Apr-14
Firstpage :
1701
Lastpage :
1715
Abstract :
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.
Keywords :
antenna arrays; array signal processing; image reconstruction; array elements; associated array processing; co-array analysis; coherent imaging; image reconstruction; multicoset sparse imaging arrays; multiple sparse uniform subarrays; pattern design procedure; periodic nonuniform pattern; robust algorithms; scene density; structured sparse antenna array architecture; unknown scenes; Antenna arrays; Correlation; Image reconstruction; Imaging; Multiple signal classification; Noise; Standards; Compressed sensing; MUSIC algorithm; millimeter-wave imaging; phased-array antennas; sparse arrays;
fLanguage :
English
Journal_Title :
Antennas and Propagation, IEEE Transactions on
Publisher :
ieee
ISSN :
0018-926X
Type :
jour
DOI :
10.1109/TAP.2014.2299819
Filename :
6710127
Link To Document :
بازگشت