Antenna and Array Optimization

Maximize bandwidth, minimize SLL, perform array thinning, maximize F/B ratio

Use the Antenna Designer, Antenna Array Designer, and PCB Antenna Designer apps or the optimize function at the command line to optimize antenna design for various analysis parameters such as impedance, gain, directivity, current, and charge so on under given constraints. Using the Optimize tab on the apps you can:

Optimize antenna and array objects using the antenna optimization algorithm.
Input design variables and the objective of the optimization.
Produce analysis plots during each iteration and view the results in a single window.

Apps

Antenna Designer	Design, visualize, and analyze antennas
Antenna Array Designer	Design, visualize, and analyze arrays (Since R2019b)
PCB Antenna Designer	Design, analyze, optimize, and export single or multifeed PCB antennas (Since R2021b)

Functions

optimize Optimize antenna or array using SADEA optimizer (Since R2020b)

Topics

Antenna Optimization Algorithm
AI-driven antenna design method SADEA that uses global optimization and statistical learning techniques.

Featured Examples

Maximize Impedance Bandwidth of Triangular Patch Antenna

Optimize a triangular microstrip patch antenna to maximize its bandwidth such that its gain remains constant.

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Optimization of Antenna Array Elements Using Antenna Array Designer App

Demonstrates how to maximize the gain of 2-by-2 patch array antenna elements using a surrogate model assisted differential evolution for antenna synthesis (SADEA) optimizer. The design and analysis are performed at 2.4 GHz.

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Maximizing Gain and Improving Impedance Bandwidth of E-Patch Antenna

Optimize an E-patch antenna in the Antenna Designer app using the SADEA optimizer.

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Design, Analyze, and Optimize H-Notch Patch Using Design Variables

This tutorial shows how to define the metal patch, dielectric, and ground plane layers in H-notch using design variables in the PCB Antenna Designer app and optimize the design for maximum gain.

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Direct Search Based Optimization of Six-Element Yagi-Uda Antenna

Optimizes a 6-element Yagi-Uda antenna for both directivity and 300Ω input match using a global optimization technique. The radiation patterns and input impedance of antennas are sensitive to the parameters that define their shapes. The multidimensional surface over which such optimizations must be performed have multiple local optima. This makes the task of finding the right set of parameters satisfying the optimization goals particularly challenging and requires the use of global optimization techniques. One such technique is pattern search, a direct search based optimization technique that has yielded impressive results for antenna design optimization.

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