05 خرداد 1403
عباس رضايي

عباس رضایی

مرتبه علمی: استادیار
نشانی: دانشگاه صنعتی کرمانشاه، دانشکده مهندسی برق، مهندسی برق (گرایش های الکترونیک و مخابرات)
تحصیلات: دکترای تخصصی / مهندسی برق
تلفن: 083-38305001
دانشکده: دانشکده مهندسی برق

مشخصات پژوهش

عنوان
A New ANFIS-Based Hybrid Method in the Design and Fabrication of a High-Performance Novel Microstrip Diplexer for Wireless Applications
نوع پژوهش مقاله چاپ شده
کلیدواژه‌ها
Adaptive neuro-fuzzy inference system, mathematical analysis, microstrip, diplexer, wireless
پژوهشگران صلاح اسماعیل یحیی (نفر اول)، عباس رضایی (نفر دوم)، رفع اسماعیل یحیی (نفر سوم)

چکیده

In this work, we have used a novel adaptive neuro-fuzzy inference system (ANFIS) method to design and fabricate a high-performance microstrip diplexer. For developing the proposed ANFIS model, the hybrid learning method consisting of least square estimation and back-propagation (BP) techniques is utilized. To achieve a compact diplexer, a designing process written in MATLAB 7.4 software is introduced based on the proposed ANFIS model. The basic microstrip resonator used in this study is mathematically analyzed. The designed microstrip diplexer operates at 2.2GHz and 5.1GHz for wideband wireless applications. Compared to the previous works, it has the minimum insertion losses and the smallest area of 0.007 λ2g (72.2mm2). It has flat channels with very low group delays (GDs) and wide fractional bandwidths (FBWs). The GDs at its lower and upper channels are only 0.48ns and 0.76ns, respectively. Another advantage of this work is its suppressed harmonics up to 12.9GHz (5th harmonic). To design the proposed diplexer, an LC model of the presented resonator is introduced and analyzed. To verify the simulation results and the presented ANFIS method, we fabricated and measured the proposed diplexer. The results show that both simulations and measurements data are in good agreement, which give reliability to the proposed ANFIS method.