Maximizing Gain and Improving Impedance Bandwidth of E-Patch Antenna

Antenna Selection

Enter antennaDesigner at the MATLAB® command prompt to open the app.

In the blank canvas, click NEW.

From the ANTENNA GALLERY dropdown, under PATCH FAMILY, select an E-patch antenna.

Set the design frequency to 6.6 GHz. To analyze the antenna, click Accept.

Analyze 3D Radiation Pattern

Click on 3D Pattern. Observe the radiation pattern and the maximum gain.

The maximum gain of the antenna is 6.16 dBi as shown on the top left side of the pattern figure.

Analyze ${\mathit{S}}_{11}$

Click S Parameter.

Observe that the ${\mathit{S}}_{11}$ of the antenna does not show any impedance bandwidth within the frequency range and the current E-patch antenna design might not be an optimized one. To improve the gain and the impedance bandwidth, optimize the antenna using the optimizer tab.

Setup Optimization Problem

Any optimization problem typically requires following inputs.

Optimization Function

To optimize the E-patch, click on the Optimize button.

To select an objective function, use the OBJECTIVE FUNCTION Gallery drop down. Since the goal is to maximize the gain of the antenna, click on Maximize Gain.

Design Variables and Constraints

To set up the design variables, click on the Design Variables tab. Click on the checkboxes present on the left-hand side of the properties to choose the required design variables. The optimizer would change these chosen properties to obtain a maximum gain for the antenna.

Enter bounds for the design variables as follows:

Click Apply to set the variables.

To set up the constraints, click on the Constraints tab.

Select S11 (dB) from the Constraint Function. Select < operator from sign and enter value as -10.

Click Apply.

In the SETTINGS section, enter Iterations as 300 to give the number of iterations to run for the optimizer. Click Parallel Computing in Settings section if you have Parallel Computing Toolbox™ license and want to use it for the optimization. To start the start optimization, click the Run button.

Optimization

The SADEA is a surrogate model-based optimization which contains two stages

Building Model:

In the model building stage, the optimizer makes a surrogate model from the design space, and the specified objective and the constraints function. It diversely goes through the design space and performs analysis on these sample points.

So, the x-axis shows the number of samples and the y-axis shows the value of the analysis function value at that sample. The bottom left side show the current sample value and the bottom right side shows the design variables. The optimizer within decides and takes appropriate number of samples to build the model. After the model is built, the optimizer starts running iterations.

Optimizing

In the optimizing stage, the x-axis shows the number of iterations and the y-axis shows the objective function values. From the plots shown on the optimizing stage, you can understand the trend of convergence.

Notice that, the objective as well as the constraint plots show fewer deviations from after the 150th iteration. This indicates that the objective is converging.

Optimized 3D Pattern and Bandwidth

Once the optimization is complete, click on Accept. This takes you back to the previous page.

Click on Pattern to observe the 3D radiation pattern of the optimized antenna. Now, the maximum directivity is 8.7 dBi.

Click on S Parameter to observe the impedance bandwidth of the antenna. The optimized antenna shows a bandwidth of around 6.25 GHz to 6.669 GHz.