基于慢波效应的X波段带通滤波器的优化设计  

An optimized design of X-band slow-wave bandpass filter

作　　者：时晶晶[1] 马五星[1] 孔勐[1] 吴先良[1] 

机构地区：[1]安徽大学计算智能与信号处理教育部重点实验室,安徽合肥230039

出　　处：《合肥工业大学学报（自然科学版）》2009年第4期594-597,共4页Journal of Hefei University of Technology：Natural Science

基　　金：国家自然科学基金资助项目(60371041);国家自然科学基金资助项目(60671051)

摘　　要：文章介绍了一种利用慢波周期结构加载改进型开环发夹谐振器的微带带通滤波器,该谐振器利用耦合线内弯的结构,使得在不改变电路性能的情况下,减小了电路尺寸;同时由于电路应用的慢波周期结构出现了带阻效应,因此对谐波有很好的抑制作用;利用人工神经网络对开环发夹谐振器进行优化并用软件HFSS验证此方法的可行性;通过设计实例,用HFSS的分析结果证明了这种滤波器结构的优越性。This paper introduces a novel slow-wave microstrip bandpass filter with loading split-ring hairpin resonators. The resonator makes use of the coupled lines,thus reducing the size of this circuit greatly without changing the performance of the filter. At the same time, the bandstop effect occurres in the filter owing to slow-wave periodic structure, and it is good suppression for the harmonic wave in the filter. The dual-mode resonator is optimized by the artificial neural network（ANN）. The HFSS simulation proves the feasibility of the ANN in dual-mode resonator design. A design example is given and the analysis result by the HFSS shows the advantage of this kind of filter.

关 键 词：慢波效应 人工神经网络 开环发夹谐振器 带通滤波器 

分 类 号：TN713.5[电子电信—电路与系统]