Metamaterial Loaded Wideband Patch Antenna
A new design technique for producing wideband patch antenna is introduced in this paper.The methodology involves complementary square split ring resonators and an inset fed rectangular patch antenna both designed to resonate at the same frequency.The dimensions of the complementary square split ring resonator are same as that of the split ring resonators physical dimensions,which are optimized using Artificial Neural Network.A Cascade Forward Backpropogation neural network using Levenberg Marquardt learning algorithm is utilized for optimization.The proposed neural network for optimization contains four hidden layers with variable number of neurons in each layer,which is created and trained using neural network toolbox 5.1 of MATLAB.The proposed antenna is constructed by cutting out the split ring resonator from the two corners of the patch where the feed is given to antenna.HFSS simulation of the proposed antenna shows improved bandwidth and return loss at the centre frequency of 2.4GHz.The simulation result shows remarkable improvement in antenna parameters when compared to a normal inset fed rectangular patch antenna,the only loss being a negligible decrement in the antenna gain.
S.Raghavan Anoop Jayaram
Electronics and Communication Department,National Institute of Technology,Trichy,India National Institute of Technology,Trichy,India
国际会议
Progress in Electromagnetics Research Symposium 2013(2013年电磁学研究新进展学术研讨会)
台北
英文
760-763
2013-03-01（万方平台首次上网日期，不代表论文的发表时间）