Compressive Sensing Approach to the Synthesis of Sparse Antenna Arrays
Compressive Sensing Approach to the Synthesis of Sparse Antenna Arrays
- Author(s): G. Buttazzoni and R. Vescovo
- DOI: 10.1049/cp.2018.0627
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- Author(s): G. Buttazzoni 1 and R. Vescovo 1
- Conference: 12th European Conference on Antennas and Propagation (EuCAP 2018)
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Source:
12th European Conference on Antennas and Propagation (EuCAP 2018),
2018
page
(5 pp.)
Affiliations:
1: Dept. of Eng. & Archit., Univ. of Trieste, Trieste, Italy
- DOI: 10.1049/cp.2018.0627
- ISBN: 978-1-78561-816-1
- Location: London, UK
- Conference date: 9-13 April 2018
- Format: PDF
The Compressive Sensing (CS) technique, first introduced in the field of image processing, is nowadays used in many engineering problems. Electromagnetics counts a number of problems which have been solved with a suitable CS-based strategy, such as, for examples, the diagnosis and synthesis of antenna arrays, the estimation of directions of arrival, and the solution of inverse scattering and radar imaging problems. This paper presents an overview of some algorithms based on the CS approach, recently developed by the authors for the synthesis of sparse antenna arrays, also including additional constraints.
Inspec keywords: compressed sensing; radar imaging; antenna arrays
Subjects: Optical, image and video signal processing; Computer vision and image processing techniques; Radar theory; Linear algebra (numerical analysis); Optimisation techniques; Antenna arrays; Radar equipment, systems and applications; Signal processing and detection
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