Size reduction and performance improvement of a microstrip Wilkinson power divider using a hybrid design technique

Abstract

In the design of a microstrip power divider, there are some important factors, including harmonic suppression, insertion loss, and size reduction, which affect the quality of the final product. Thus improving each of these factors contributes to a more efficient design. In this respect, a hybrid technique to reduce the size and improve the performance of a Wilkinson power divider (WPD) is introduced in this paper. The proposed method includes a typical series LC circuit, a miniaturizing inductor, and two transmission lines, which make an LC branch. Accordingly, two quarter-wavelength branches of the conventional WPD are replaced by two proposed LC branches. Not only does this modification lead to a 100% size reduction, an infinite number of harmonics suppression, and high-frequency selectivity theoretically, but it also results in a noticeable performance improvement practically compared to using quarter-wavelength branches in the conventional microstrip power dividers. The main important contributions of this technique are extreme size reduction and harmonic suppression for the implementation of a filtering power divider (FPD). Furthermore, by tuning the LC circuit, the arbitrary numbers of unwanted harmonics are blocked while the operating frequency, the stopband bandwidth, and the operating bandwidth are chosen optionally. The experimental result verifies the theoretical and simulated results of the proposed technique and demonstrates its potential for improving the performance and reducing the size of other similar microstrip components.

Application of Wavelet Feature Extraction and Artificial Neural Networks for Improving the Performance of Gas–Liquid Two-Phase Flow Meters Used in Oil and Petrochemical Industries

“…In the past few decades, various advanced computational approaches, e.g., finite element, numerical linear algebra, statistics, numerical analysis, tensor analysis, and artificial intelligence, have been applied in various fields of study such as chemical engineering [29][30][31][32][33][34][35][36][37], electrical engineering [38][39][40][41][42][43][44][45][46], biomedical engineering [47][48][49][50][51][52][53][54], civil engineering [55][56][57][58], social sciences [59][60][61][62][63][64][65][66][67][68][69], mechanical engineering [70][71][72][73][74][75][76]…”

Design of a Compact Planar Transmission Line for Miniaturized Rat-Race Coupler With Harmonics Suppression

“…While an acceptable size reduction has been demonstrated based on PBG, its complex manufacturing is not suitable for many applications [20]. In [21], a compact LC branch line was developed based on miniaturizing inductor and two transmission lines for harmonics removal and miniaturization. Besides, neural networks, which are useful tools in solving the engineering problems [22][23][24][25][26] have been recently used to model the power dividers and couplers [27].…”

A Hybrid Technique Based on a Genetic Algorithm for Fuzzy Multiobjective Problems in 5G, Internet of Things, and Mobile Edge Computing

“…Moreover, several features associated with minimal or maximal solutions, as long as the equations can be solved, were demonstrated. Furthermore, there are many problems in different fields of studies based on communication technologies which can be solved by FRE, such as the instructional information resources allocation, optimizing the size and performance of the microstrip components, the fifth-generation (5G) of broadband cellular networks, Internet of ings (IoT), could computing, and mobile edge computing (MEC), and a large number of engineering systems [1,2,[4][5][6][7][8][9]. As technologies and new computational techniques based on fuzzy systems advance, we have faced a large number of issues that can be described by multiobjective optimization problems (MOOP) [10][11][12][13][14].…”