TR2014-051
Sparse MIMO Architectures For Through-The-Wall Imaging
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- , "Sparse MIMO Architectures For Through-the-wall Imaging", IEEE Sensor Array and Multichannel Signal Processing Workshop (SAM), DOI: 10.1109/SAM.2014.6882455, June 2014, pp. 513-516.BibTeX TR2014-051 PDF
- @inproceedings{Boufounos2014jun,
- author = {Boufounos, P.T. and Liu, D. and Mansour, H. and Sahinoglu, S.},
- title = {Sparse MIMO Architectures For Through-the-wall Imaging},
- booktitle = {IEEE Sensor Array and Multichannel Signal Processing Workshop (SAM)},
- year = 2014,
- pages = {513--516},
- month = jun,
- publisher = {IEEE},
- doi = {10.1109/SAM.2014.6882455},
- url = {https://www.merl.com/publications/TR2014-051}
- }
- , "Sparse MIMO Architectures For Through-the-wall Imaging", IEEE Sensor Array and Multichannel Signal Processing Workshop (SAM), DOI: 10.1109/SAM.2014.6882455, June 2014, pp. 513-516.
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MERL Contacts:
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Research Areas:
Abstract:
Compressive sensing and sparse array processing has provided new approaches to improve radar imaging systems. This paper, explores the potential of sparse Multiple-Input-Multiple-Output (MIMO) radar arrays to significantly reduce the cost of through-the-wall imaging (TWI). We analyze three well-known sparse array structures-nested arrays, co-prime arrays and random arrays-and examine their performance in the presence of common types of layered walls. The reconstruction is performed by formulating and solving a wall parameter estimation problem in conjunction with a sparse reconstruction problem that takes the wall parameters into account. Our simulation results demonstrate the effectiveness of our approach and validate the performance of the system for the three different MIMO sparse array structures.