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| dc.contributor.author | Skoblikov, Sergii | |
| dc.contributor.author | Ibrahim, Mohamed | |
| dc.contributor.author | Römer, Florian | |
| dc.contributor.author | S. Thomä, Reiner | |
| dc.contributor.author | Del Galdo, Giovanni | |
| dc.date.accessioned | 2020-03-07T08:45:03Z | |
| dc.date.available | 2020-03-07T08:45:03Z | |
| dc.date.issued | 2015 | |
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| dc.identifier.uri | https://t.ly/PWBKX | |
| dc.description | MSA Google Scholar | en_US |
| dc.description.abstract | This paper suggests using a tunable reflectarray as a hardware source of Sensing Functions (SFs) for Direction of Arrival (DoA) estimation based on Compressed Sensing (CS). Reflectarray is much more scalable than a conventional antenna array. This higher scalability can be exploited to build a measurement hardware with large aperture and high number of degrees of freedom. We introduce the simplified reflectarray propagation model, based on which we propose a number of possible measurement architectures, for each of them we show how the Sensing Matrix (SM) will be defined. Finally, a typical non-sparse beampattern is obtained using numeric simulation. | en_US |
| dc.description.sponsorship | IEEE | en_US |
| dc.language.iso | en | en_US |
| dc.publisher | IEEE | en_US |
| dc.relation.ispartofseries | 3rd International Workshop on Compressed Sensing Theory and its Applications to Radar, Sonar and Remote Sensing (CoSeRa);Pages : 268-272 | |
| dc.subject | University of Direction-of-arrival estimation, Compressed Sensing, Reflectarray | en_US |
| dc.title | DoA estimation with reflectarray according to single pixel camera principle | en_US |
| dc.type | Book chapter | en_US |
| dc.Affiliation | October University for modern sciences and Arts (MSA) |
