《计算机应用研究》|Application Research of Computers

基于一种新型核函数高斯过程的双频微带天线设计

Design of dual band microstrip antenna based on Gauss process with new kernel function

免费全文下载 (已被下载 次)  
获取PDF全文
作者 许永秀,田雨波,胡晓朋,李双双
机构 江苏科技大学 电子信息学院,江苏 镇江 212003
统计 摘要被查看 次,已被下载
文章编号 1001-3695(2018)08-2477-03
DOI 10.3969/j.issn.1001-3695.2018.08.060
摘要 针对采用高斯过程进行建模时,不同核函数形式有着不同学习效果的问题,提出了一种自定义的平方指数形式的核函数,并基于多项式函数拟合对这种新型的核函数进行了数值仿真。仿真结果表明,该核函数不但可以提高模型的精确度和有效性,而且还可以提高模型的学习能力和泛化能力。最后,将基于该核函数的高斯过程建模方法用于矩形双频微带天线优化设计和WLAN双频单极子天线优化设计,进一步证明了这种方法是可行的和有效的。
关键词 高斯过程;核函数;微带天线;单极子天线
基金项目 江苏省重点研发计划社会发展面上项目(BE2016723)
江苏省研究生科研与实践创新计划项目(KYCX17_1840)
本文URL http://www.arocmag.com/article/01-2018-08-060.html
英文标题 Design of dual band microstrip antenna based on Gauss process with new kernel function
作者英文名 Xu Yongxiu, Tian Yubo, Hu Xiaopeng, Li Shuangshuang
机构英文名 SchoolofElectronics&Information,JiangsuUniversityofScience&Technology,ZhenjiangJiangsu212003,China
英文摘要 In the process of modeling with Gauss process(GP), different kernel functions have different learning effects. This paper presented a new kernel function which was defined as the square exponential form, and carried out the numerical simulation based on the polynomial functions fitting. The simulation results show that the proposed kernel function can improve not only the accuracy and efficiency of the model, but also the learning ability and generalization ability of the model. Finally, this paper applied the GP based on the kernel function to the design of rectangular dual band microstrip antenna and WLAN dual band monopole antenna. The result proves the method to be feasible and effective.
英文关键词 Gauss process; kernel function; microstrip antenna; monopole antenna
参考文献 查看稿件参考文献
  [1] Zhang G M, Hong J S, Wang Bingzhong. A novel planar monopole antenna with an h-shaped ground plane for dual band WLAN applications[J] . Journal of Electromagnetic Waves and Applications, 2007, 21(15):2229-2239.
[2] Zhang Tianling, Yan Zehong, Song Yue. Compact CPW-FED planar monopole antenna for dual-band WLAN applications[J] . Microwave and Optical Technology Letters, 2009, 51(5):1377-1379.
[3] Wang Zhongbao, Fang Shaojun, Wang Qiang. An ANN-based synthesis model for the single feed circularly polarized square microstrip antenna with truncated corners[J] . IEEE Trans on Antennas and Propagation, 2012, 60(12):5989-5992.
[4] Sun Jie, Li Hui, Adeli H. Concept drift oriented adaptive and dynamic support vector machine ensemble with time window in corporate financial risk prediction[J] . IEEE Trans on Systems, Man, and Cybernetics:Systems, 2013, 43(4):801-813.
[5] 杜占玮, 杨永健, 肖敏. 一种基于自适应高斯过程的基线计算算法[J] . 计算机科学, 2012, 39(11):79-82.
[6] Zhou Xueliang, Jiang Pingyu, Wang Xianxiang. Recognition of control chart patterns using fuzzy SVM with a hybrid kernel function[J] . Journal of Intelligent Manufacturing, 2015, 9(12):1889-1902.
[7] Jacobs J, Koziel S. Two stage framework for efficient Gaussian process modeling of antenna input characteristics[J] . IEEE Trans on Antennas and Propagation, 2014, 62(2):706-713.
[8] Liu Bo, Zhang Qingfu. A Gaussian process surrogate model assisted evolutionary algorithm for medium scale expensive optimization problems[J] . IEEE Trans on Evolutionary Computation, 2014, 18(2):180-192.
[9] Liu Bo, Aliakbarian H, Gielen G. An efficient method for antenna design optimization based on evolutionary computation and machine learning techniques[J] . IEEE Trans on Antennas and Propagation, 2014, 62(1):7-18.
[10] Kibria S, Lslam M, Yatim B. A modified PSO technique using heterogeneous boundary conditions for broadband compact microstrip antenna designing[J] . Annals of Telecommunications, 2014, 69(9):509-514.
[11] 王鸿磊, 徐平平. WSN低能耗数据收集遗传粒子群算法研究[J] . 计算机科学, 2017, 44(3):79-83.
收稿日期 2017/4/13
修回日期 2017/5/24
页码 2477-2479,2483
中图分类号 TP391.9
文献标志码 A