Antenna Design for IoT applications and wireless sensors
Overview
The number of wireless IoT devices is constantly growing, and the need to reduce cost and size of the sensor imposes challenging requirements on the antenna design and manufacturing. In this webinar, you will see how to rapidly design a printed antenna for your wireless sensor and IoT device using Antenna Toolbox.
You will learn how to design Printed Circuit Board (PCB) antennas by specifying arbitrary metal-dielectric layers, solid feed/via models, and connector types. The workflow starts by defining the arbitrary geometric shape of your metal layers or, to further speed up the design process, by using the antenna catalogue and the Antenna Designer app, or even by importing a photo of an existing antenna.
We will accurately analyze the antenna including filters, microstrip lines, and other passive structures using the full wave Method of Moments. In just a few seconds, we will visualize and interactively inspect the antenna impedance, current, and radiation pattern.
By rapidly iterating on the antenna geometrical and electrical properties, we will be able to explore alternatives until meeting the design requirements. Last, advanced meshing control will allow us to accurately model and rapidly simulate arbitrary structures.
We will conclude by generating the set of manufacturing files - collectively known as 'Gerber files' - used to fabricate PCB antennas. You will see how to prototype and fabricate antennas using a customizable library of RF connectors and available PCB manufacturing services.
Leverage the power of MATLAB for the design of PCB antennas. You don’t need to be an EM expert to design antennas for IoT applications.
Highlights
- Choose your antenna starting from the available elements in the catalog
- Design custom antennas using arbitrary geometric shapes
- Analyze the antenna using the Method of Moments
- Generate Gerber files for antenna fabrication and rapid prototyping
About the Presenter
Dr. Giorgia Zucchelli is the product marketing manager for RF and mixed-signal at MathWorks. Before joining MathWorks in 2009 as an application engineer focusing on signal processing and communications systems with specialization in analog simulation, Giorgia worked for two years at NXP Semiconductors on mixed-signal verification methodologies. Before then, she worked for Philips Research, where she contributed to the development of system-level models for innovative telecommunication systems. Giorgia has a master’s degree in electronic engineering and a doctorate in electronic engineering for telecommunications from the University of Bologna. Her thesis dealt with modeling high-frequency RF devices.
Recorded: 14 Dec 2017
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