Modeling of Data Converter Architectures (ADC/DAC) with MATLAB

Overview

This talk focuses on the behavioral modeling of data converter. Using system-level simulation, we explore a variety of architectures and their impact on the performance and efficiency of the conversion processes. The effects of various impairments in the Analog-to- Digital Converter (ADC) or a Digital-to-Analog Converter (DAC) are examined, along with effects of essential support circuits like Anti-Aliasing filter and clock generators.

Behavioral models play a crucial role in system simulation, providing a deeper understanding of design choices and help determining the optimal parameters needed to achieve the desired functionality. The webinar guides participants through real world examples created and analyzed with MathWorks products with a special focus on Sigma Delta based ADCs, Additionally, emerging trends for performance optimization are discussed, including the use of smart compensation schemes and how these models are leveraged to construct high performance signal chains.

Highlights

• Modeling data-converter architectures and their applications
• Adding circuit impairments and using measurement testbenches for verification
• Optimizing design choices and developing compensation algorithm
• Integration with EDA tools through model export

About the Presenter

Ganesh Rathinavel is a Principal Application Engineer at MathWorks specializing in the Analog/Mixed-Signal (AMS) Design and Signal Integrity (SI), within the EMEA region. He works from the Dutch office in Eindhoven and is responsible for increasing adoption of MathWorks tools in the AMS/SI design domain. Before joining MathWorks in October 2018, he worked as a R&D Engineer at Interuniversity Microelectronics Centre (IMEC) & at STMicroelectronics, where he developed Mixed-Signal systems for NFC/RFID tags, Display drivers and Sensor Readouts. He holds two master’s degrees in Semiconductor Engineering and Physics respectively, during which he specialized in Analog Design and System modeling.