MFOA-integrated modified inverted F-based adaptive array Antenna for 2.4 GHz band applications

Abstract

This research has proposed a modified fruit fly optimization algorithm (MFOA)-integrated adaptive array antenna (AAA) for the 2.4-2.5 GHz WLAN system. The principal components of the array antenna system encompass four array elements, four band pass filters (BPF), four digital phase shifters, a four-way power combiner/splitter, a directional coupler, a radio frequency (RF) detector, and a microcontroller unit (MCU). In the realization of the adaptive antenna system, the modified inverted F antenna with a finite ground plane was first innovated and subsequently deployed as the element of the fourelement array antenna. In the study, simulations and experiments were carried out with the four-element AAAs of two configurations, i.e. the linear and planar array configurations. The simulation and experimental results revealed that the MFOA algorithmic scheme could determine the direction of the maximum arrival signal in an efficient and accurate manner and also was capable of manipulating the radiation pattern in the desired direction. In addition, the MFOA-integrated four-element AAA is of compact size (20 mm 3 35 mm 3 1.8 mm) and operable in the 2.31-2.55 GHz frequency band with omnidirectional radiation pattern and a gain of 1.6 dBi. V C 2016 Wiley Periodicals, Inc. Int J RF and Microwave CAE 26:784-795, 2016.

Pattern synthesis of the multimode orbital angular momentum beams based on the fruit fly optimization algorithm

“…21,22 It was developed on the behavior of fruit flies in their searching for food. Recently, the FOA has applied to handle antenna optimization problems [23][24][25] due to its advantages of faster convergence rate, shorter code, and easier to implement compared with other optimization algorithms. The procedures of the FOA method to solve an optimization problem can be presented as follows:…”