DoA estimation with reflectarray according to single pixel camera principle

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dc.AffiliationOctober University for modern sciences and Arts (MSA)
dc.contributor.authorSkoblikov, Sergii
dc.contributor.authorIbrahim, Mohamed
dc.contributor.authorRömer, Florian
dc.contributor.authorS. Thomä, Reiner
dc.contributor.authorDel Galdo, Giovanni
dc.date.accessioned2020-03-07T08:45:03Z
dc.date.available2020-03-07T08:45:03Z
dc.date.issued2015
dc.descriptionMSA Google Scholaren_US
dc.description.abstractThis 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.sponsorshipIEEEen_US
dc.identifier.citation[1] S. Fortunati, R. Grasso, F. Gini, M. Greco, and K. Lepage, “Three cs-based beamformers for single snapshot doa estimation,” in Signal Processing Conference (EUSIPCO), 2014 Proceedings of the 22nd European, Sept 2014, pp. 1044–1048. [2] M. Ibrahim, F. Romer, R. Alieiev, G. Del Galdo, and R. S. Thom ¨ a,¨ “On the estimation of grid offsets in CS-based direction-of-arrival estimation,” in Proc. IEEE Int. Conf. Acoustics, Speech and Sig. Proc. (ICASSP 2014), Florence, Italy, May 2014. [3] D. L. Donoho, M. Elad, and V. N. Temlyakov, “Stable recovery of sparse overcomplete representations in the presence of noise,” IEEE Transactions On Information Theory, vol. 52, no. 1, pp. 6 – 18, Jan 2006. [4] A. Gurb ¨ uz, J. McClellan, and V. Cevher, “A compressive beamforming ¨ method,” in Acoustics, Speech and Signal Processing, 2008. ICASSP 2008. IEEE International Conference on, March 2008, pp. 2617–2620. [5] J. Huang and J. E. Encinar, Reflectarray antennas, M. E. El-Hawary, Ed. Hoboken, New Jersey: John Wiley & Sons, inc., 2008. [6] P. Nayeri, A. Elsherbeni, and F. Yang, “Radiation analysis approaches for reflectarray antennas [antenna designer’s notebook],” Antennas and Propagation Magazine, IEEE, vol. 55, no. 1, pp. 127–134, 2013. [7] D. Berry, R. Malech, and W. Kennedy, “The reflectarray antenna,” IEEE Transactions on Antennas and Propagation, vol. 11, no. 6, pp. 645–651, 1963. [8] P.-S. Kildal, Foundations of Antenna Engineering: A Unified Approach for Line-Of-Sight and Multipath. Artech House Publishers, May 2015. [9] H. Rajagopalan and Y. Rahmat-Samii, “On the reflection characteristics of a reflectarray element with low-loss and high-loss substrates,” Antennas and Propagation Magazine, IEEE, vol. 52, no. 4, pp. 73–89, 2010. [10] Y. Wang, G. Leus, and A. Pandharipande, “Direction estimation using compressive sampling array processing,” in IEEE/SP 15th Workshop on Statistical Signal Processing, 2009, pp. 626 – 629. [11] C.-C. Cheng and A. Abbaspour-Tamijani, “Evaluation of a novel topology for MEMS programmable reflectarray antennas,” Microwave Theory and Techniques, IEEE Transactions on, vol. 57, no. 12, pp. 3333–3344, 2009. [12] M. F. Duarte, M. A. Davenport, D. Takhar, J. N. Laska, T. Sun, K. F. Kelly, and R. G. Baraniuk, “Single-pixel imaging via compressive sampling,” IEEE Signal Processing Magazine, p. 83, March 2008. [13] L. Carin, “On the relationship between compressive sensing and random sensor arrays,” IEEE Antennas and Propagation Magazine, vol. 51, no. 5, pp. 72–82, October 2009. [14] M. A. Davenport, M. F. Duarte, Y. C. Eldar, and G. Kutyniok, Compressed Sensing: Theory and Applications. Cambridge University Press, 2012, ch. 1, pp. 1 – 64. [15] R. G. Baraniuk, M. A. Davenport, R. A. DeVore, and M. B. Wakin, “A simple proof of the restricted isometry property for random matrices,” Constructive Approximation, no. 28, pp. 253 – 263, 2008. [16] ANSYS R HFSSTM, Release 2014.0.11, ANSYS, Inc. [17] ANSYS R HFSSTM, Release 2014.0.11, Help System, Getting Started with HFSS: Floquet Ports, ANSYS, Inc. [18] J. Montgomery, “Scattering by an infinite periodic array of microstrip elements,” Antennas and Propagation, IEEE Transactions on, vol. 26, no. 6, pp. 850–854, 1978. [19] S. Skoblikov, M. Ibrahim, F. Romer, and R. S. Thom ¨ a, “Numerical ¨ assessment of reflectarray applicability to CS-based DoA estimation,” in International Radar Symposium, Dresden, Germany, June 2015.en_US
dc.identifier.urihttps://t.ly/PWBKX
dc.language.isoenen_US
dc.publisherIEEEen_US
dc.relation.ispartofseries3rd International Workshop on Compressed Sensing Theory and its Applications to Radar, Sonar and Remote Sensing (CoSeRa);Pages : 268-272
dc.subjectUniversity of Direction-of-arrival estimation, Compressed Sensing, Reflectarrayen_US
dc.titleDoA estimation with reflectarray according to single pixel camera principleen_US
dc.typeBook chapteren_US

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