Abstract

A three-dimensional (3D) circular arc array synthesis model was developed using genetic algorithms (GA) and MATLAB optimization methods. A circular arc array consists of an array of N directional elements that are arranged in a circular sector or are in the x-y plane. Each element is pointed so that the peak of the element pattern is directed radially outward. In this work, 3D element factor data computed from either measurements or full-wave techniques is used. In this paper, we use our previous findings of 2D synthesis to develop a 3D circular arc array synthesis model to optimize far-field array patterns with the peak directivity and a specified peak sidelobe level. We compare the results and implementation of GA-based optimization with a constrained minimization function in the MATLAB optimization toolbox. The efficiency of each optimization method is compared using several array configurations.

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call

Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.