Recent advances in technology have resulted in mmWave radar chipsets with improved performance, lower cost, and lower power consumption. While Automotive Driver Assistance (ADAS) continues to be the biggest market for these radars, there are new applications that are emerging in the consumer and industrial segment. The first part of this talk will be an introduction to the operation of a mmWave radar. We will specifically talk about a modulation technique called Frequency Modulated Continuous Wave which is the de-facto standard for Automotive radars. The growth of the market for mmWave radars is opening a lot of research opportunities for signal processing practitioners. We will discuss some of these in the second part of this talk. We will also cover interesting research areas that are at the intersection of signal processing and machine learning. The growth of the market for mmWave radars is opening a lot of research opportunities for signal processing practitioners. We will discuss some of these in the second part of this talk. We will also cover interesting research areas that are at the intersection of signal processing and machine learning.
Sandeep Rao is with Texas Instruments (TI) where he leads an R&D group on mmWave signal processing. His research group works on identifying new applications for mmWave sensing and is actively involved in defining the next generation of TI mm-wave radar devices. Earlier he led the GPS positioning algorithm development effort at TI. Prior to TI, he was with Hughes Network Systems where he was involved in the development of modem algorithms for satellite communications. He has a Masters from the University of Maryland and a Bachelors from the Indian Institute of Technology Madras