Sparse linear regression for optimizing design parameters of double t-shaped monopole antennas

Yashika Sharma; Junqiang Wu; Hao Xin; Hao Helen Zhang

doi:10.1109/APUSNCURSINRSM.2017.8072216

Sparse linear regression for optimizing design parameters of double t-shaped monopole antennas

Yashika Sharma, Junqiang Wu, Hao Xin, Hao Helen Zhang

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

9 Scopus citations

Abstract

In this paper we propose using sparse linear regression for antenna design optimization. The new method provides an automatic, efficient, and reliable framework to identify optimal design parameters for a reference dual band double T-shaped monopole antenna in order to achieve the best performance in terms of the fractional bandwidth of its two bands.

Original language	English (US)
Title of host publication	2017 IEEE Antennas and Propagation Society International Symposium, Proceedings
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	347-348
Number of pages	2
ISBN (Electronic)	9781538632840
DOIs	https://doi.org/10.1109/APUSNCURSINRSM.2017.8072216
State	Published - Oct 18 2017
Event	2017 IEEE International Symposium on Antennas and Propagation and USNC-URSI Radio Science Meeting, APSURSI 2017 - San Diego, United States Duration: Jul 9 2017 → Jul 14 2017

Publication series

Name	2017 IEEE Antennas and Propagation Society International Symposium, Proceedings
Volume	2017-January

Other

Other	2017 IEEE International Symposium on Antennas and Propagation and USNC-URSI Radio Science Meeting, APSURSI 2017
Country/Territory	United States
City	San Diego
Period	7/9/17 → 7/14/17

Keywords

Antenna optimization
Lasso
Linear regression
Machine learning

ASJC Scopus subject areas

Radiation
Computer Networks and Communications
Instrumentation

Access to Document

10.1109/APUSNCURSINRSM.2017.8072216

Cite this

Sharma, Y., Wu, J., Xin, H., & Helen Zhang, H. (2017). Sparse linear regression for optimizing design parameters of double t-shaped monopole antennas. In 2017 IEEE Antennas and Propagation Society International Symposium, Proceedings (pp. 347-348). (2017 IEEE Antennas and Propagation Society International Symposium, Proceedings; Vol. 2017-January). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/APUSNCURSINRSM.2017.8072216

Sparse linear regression for optimizing design parameters of double t-shaped monopole antennas. / Sharma, Yashika; Wu, Junqiang; Xin, Hao et al.
2017 IEEE Antennas and Propagation Society International Symposium, Proceedings. Institute of Electrical and Electronics Engineers Inc., 2017. p. 347-348 (2017 IEEE Antennas and Propagation Society International Symposium, Proceedings; Vol. 2017-January).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Sharma, Y, Wu, J, Xin, H & Helen Zhang, H 2017, Sparse linear regression for optimizing design parameters of double t-shaped monopole antennas. in 2017 IEEE Antennas and Propagation Society International Symposium, Proceedings. 2017 IEEE Antennas and Propagation Society International Symposium, Proceedings, vol. 2017-January, Institute of Electrical and Electronics Engineers Inc., pp. 347-348, 2017 IEEE International Symposium on Antennas and Propagation and USNC-URSI Radio Science Meeting, APSURSI 2017, San Diego, United States, 7/9/17. https://doi.org/10.1109/APUSNCURSINRSM.2017.8072216

Sharma Y, Wu J, Xin H , Helen Zhang H. Sparse linear regression for optimizing design parameters of double t-shaped monopole antennas. In 2017 IEEE Antennas and Propagation Society International Symposium, Proceedings. Institute of Electrical and Electronics Engineers Inc. 2017. p. 347-348. (2017 IEEE Antennas and Propagation Society International Symposium, Proceedings). doi: 10.1109/APUSNCURSINRSM.2017.8072216

Sharma, Yashika ; Wu, Junqiang ; Xin, Hao et al. / Sparse linear regression for optimizing design parameters of double t-shaped monopole antennas. 2017 IEEE Antennas and Propagation Society International Symposium, Proceedings. Institute of Electrical and Electronics Engineers Inc., 2017. pp. 347-348 (2017 IEEE Antennas and Propagation Society International Symposium, Proceedings).

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Sparse linear regression for optimizing design parameters of double t-shaped monopole antennas

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