A Novel Graphical User Interface-Based Toolbox for Optimization and Design of Linear Antenna Array

The desired performance parameters of a specific linear antenna array (LAA) are a highly nonlinear function of input parameters such as antenna length (l) and spacing (d) among the antenna elements and need to be optimized to get all the desired performance parameters. This paper presents popular bio-motivated global optimization techniques such as particle swarm optimization (PSO) and cuckoo search (CS), which are being applied to LAA design to enhance directivity and low sidelobe level. A comparison between two optimization techniques has also been made. To analyze the antenna structure, a numerical method called method of moments has been used, and mutual coupling is taken into account between antenna elements. MATLAB is used for the design and optimization of LAA, and CST microwave studio is used to validate the results obtained. Finally, a graphical user interface-based toolbox is developed for the design and optimization of LAA in MATLAB and to reduce the complexity for a beginner.