Sparse linear regression for optimizing design parameters of double T-shaped monopole antennas
作者： Yashika Sharma , Junqiang Wu , Hao Xin , Hao Helen Zhang
DOI: 10.1109/APUSNCURSINRSM.2017.8072216
关键词:
摘要: 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 parameters a reference dual band double T-shaped monopole in order achieve the best performance terms of fractional bandwidth its two bands.
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