Numerical Assessment of Reflectarray Applicability to CS-based DoA Estimation
Date
2015
Journal Title
Journal ISSN
Volume Title
Type
Book chapter
Publisher
IEEE
Series Info
2015 16th International Radar Symposium (IRS);Pages : 404-409
Doi
Scientific Journal Rankings
Abstract
This paper examines the performance of tunable reflectarray for
Direction of Arrival (DoA) estimation based on Compressed Sensing (CS). Using a reflectarray lifts the limitation on array size compared to classical antenna
arrays and provides significantly increased number and complexity of the Sensing
Functions (SFs), which boosts the performance of the CS. The paper presents the
data model of the reflectarray and analyzes its performance in terms of manifold
spatial correlation.
Description
MSA Google Scholar
Keywords
University of Numerical assessment; DoA estimation
Citation
[1] 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. [2] 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. [3] M. Ibrahim, F. R¨omer, 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. [4] 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. [5] 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. [6] D. Berry, R. Malech, and W. Kennedy, “The reflectarray antenna,” IEEE Transactions on Antennas and Propagation, vol. 11, no. 6, pp. 645–651, 1963. [7] 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. [8] D. Mackenzie, “Compressed sensing makes every pixel count,” What’s Happening in the Math. Sciences, pp. 114 – 127, 2009, AMS. [9] H. Rajagopalan, S. Xu, and Y. Rahmat-Samii, “On understanding the radiation mechanism of reflectarray antennas: An insightful and illustrative approach,” Antennas and Propagation Magazine, IEEE, vol. 54, no. 5, pp. 14–38, 2012. [10] P.-S. Kildal, Foundations of Antenna Engineering: A Unified Approach for Line-Of-Sight and Multipath. Artech House Publishers, May 2015. [11] M. Ibrahim, F. R¨omer, and G. Del Galdo, “On the design of the measurement matrix for compressed sensing based DoA estimation,” in International Conference on Acoustics, Speech and Signal Processing (ICASSP), Brisbane, Australia, April 2015.