In this webinar, you will learn about MATLAB’s radio hardware support capabilities that enable you to connect your algorithms to a wide range of supported software-defined radio (SDR) devices. You can use these live radio signals to verify your designs with waveform generation and over-the-air testing. You will also learn about taking those designs to hardware by generating and deploying HDL code on the FPGA fabric of your radios.
We will showcase how Communications Toolbox SDR support can facilitate the entire over-the-air testing workflow. This includes connecting your software-based transmitter and receiver algorithms to SDRs and transferring live I/Q data to/from MATLAB and Simulink. We will show how to use received signals to analyze your device under test (DUT), characterize your channel, or assess the performance of your end-to-end design by computing metrics such as EVM, ACLR, or BER.
We will then show how you can perform hardware/software co-design to implement a receiver for a familiar communications waveform on a Zynq SDR. Starting with a behavioral Simulink model, we will show how the design can be partitioned so that the lower rate operations can be deployed on an ARM, and the higher rate operations can be deployed on the Zynq’s FPGA.
In this session, you will learn how to:
Ian M. Alferez is the Application Engineering Manager at TechSource Systems. He specializes in the field of embedded systems (embedded coder configuration), data analytics (Machine Learning), and technical computing with MATLAB/Simulink. He holds a Bachelor of Science in Electronics and Communication Engineering from the University of San Carlos in Cebu, Philippines. Before joining Techsource Asia, he worked as a Software Development Engineer at Lear Corporation where he refined his skills in Model-Based Design with regards to the Verification and Validation Workflow and Embedded Software / Hardware.
He has built his forte in Process Automation with MATLAB, Production Code Customization, Optimization, and Generation with Embedded Coder, MATLAB/Simulink Algorithm for Auto Code Generation, and Hardware Target Deployment Customizing the Auto Test Generation / Property Proving with Simulink Design Verifier.
Ian has helped companies in the wireless and communication industries to adopt Model-Based Design to speed up the design and implementation of complex control and algorithmic applications such as communications, radar, computer vision, audio, and deep learning.
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