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
Designing high-performance microstrip quad-band bandpass filters (for multi-service communication systems): a novel method based on artificial neural networks
نوع پژوهش مقاله چاپ شده
کلیدواژه‌ها
Artificial neural network ,Multilayer perceptron, Microstrip, Quad-band bandpass filter
پژوهشگران عباس رضایی (نفر اول)، صلاح اسماعیل یحیی (نفر دوم)، لیلا نوری (نفر سوم)، مهد هیزل جمالدین (نفر چهارم)

چکیده

Recently, high-performance multi-channel microstrip filters are widely demanded by modern multi-service communication systems. Designing these filters with both compact size and low loss is a challenge for the researchers. In this paper and for the first time, we have proposed a novel method based on artificial neural network to design and simulate multichannel microstrip bandpass filters. For this purpose, the frequency, physical dimensions, and substrate parameters, i.e., type and thickness, of the BPF are selected as the inputs and the S-parameters, i.e. S11 and S21, are selected as the outputs of the proposed model. Using an accurate multilayer perceptron neural network trained with back-propagation technique, a high-performance microstrip quad-band bandpass filter (QB-BPF) is designed which has a novel compact structure consisting of meandrous spirals, coupled lines, and patch feeds. The proposed method can be easily used for designing other microstrip devices such as filters, couplers, and diplexers. The designed filter occupies a very small area of 0.0012 λg2, which is the smallest size in comparison with previously published works. It operates at 0.7, 2.2, 3.8, and 5.6 GHz for communication systems. The low insertion loss, high return losses, low group delay, and good frequency selectivity are obtained. To verify the design method and simulation results, the introduced filter is fabricated and measured. The results show an agreement between the simulation and measurement.