TY - GEN
T1 - Dipolar Model for Metamaterial Imaging Systems
AU - Pulido-Mancera, Laura
AU - Imani, Mohammadreza F.
AU - Smith, David R.
N1 - Publisher Copyright:
© 2018 IEEE.
PY - 2018
Y1 - 2018
N2 - We present a comprehensive simulation platform for computational microwave imaging systems based on frequency-diverse metasurface antennas (FDMAs). FDMAs consist of a waveguide patterned with complementary metamaterial elements with resonant frequencies selected randomly from a band of operation, enabling the generation of distinct frequency-indexed radiation patterns. By accurately modeling the fields produced by the FDMA using a dipolar model, it is possible to predict the capabilities of the imaging system in a fast and reliable manner. In contrast to previous works, in this paper we include the mutual interaction between metamaterial elements, and it is demonstrated that these interactions are crucial to a better understanding of the FDMAs' capabilities e. g. effective aperture area and correlation of radiation patterns. The simplicity and accuracy of the proposed model permits the simulation of different metasurfaces for computational microwave imaging, where traditional antenna design- and metamaterial modeling-are prohibitively costly.
AB - We present a comprehensive simulation platform for computational microwave imaging systems based on frequency-diverse metasurface antennas (FDMAs). FDMAs consist of a waveguide patterned with complementary metamaterial elements with resonant frequencies selected randomly from a band of operation, enabling the generation of distinct frequency-indexed radiation patterns. By accurately modeling the fields produced by the FDMA using a dipolar model, it is possible to predict the capabilities of the imaging system in a fast and reliable manner. In contrast to previous works, in this paper we include the mutual interaction between metamaterial elements, and it is demonstrated that these interactions are crucial to a better understanding of the FDMAs' capabilities e. g. effective aperture area and correlation of radiation patterns. The simplicity and accuracy of the proposed model permits the simulation of different metasurfaces for computational microwave imaging, where traditional antenna design- and metamaterial modeling-are prohibitively costly.
KW - Computational Imaging
KW - Metasurfaces
UR - http://www.scopus.com/inward/record.url?scp=85061901855&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85061901855&partnerID=8YFLogxK
U2 - 10.1109/APUSNCURSINRSM.2018.8608502
DO - 10.1109/APUSNCURSINRSM.2018.8608502
M3 - Conference contribution
AN - SCOPUS:85061901855
T3 - 2018 IEEE Antennas and Propagation Society International Symposium and USNC/URSI National Radio Science Meeting, APSURSI 2018 - Proceedings
SP - 1487
EP - 1488
BT - 2018 IEEE Antennas and Propagation Society International Symposium and USNC/URSI National Radio Science Meeting, APSURSI 2018 - Proceedings
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2018 IEEE Antennas and Propagation Society International Symposium and USNC/URSI National Radio Science Meeting, APSURSI 2018
Y2 - 8 July 2018 through 13 July 2018
ER -