EDI CON Online
Title: Interactive Radar: Algorithmic Perspective
Date: October 27, 2020
Time: 10:30am PT / 1:30pm ET
Presented by: Avik Santra, Senior Staff Algorithm Engineer, Infineon Technologies AG
Radar has evolved from a complex, high-end aerospace technology into a relatively simple, low end solution penetrating industrial, automotive and consumer market segments. This rapid evolution has been driven by two main factors: advancements in silicon and packaging technology that has led to miniaturization, and growth of computing power that has enabled the use of deep learning algorithms to tap the full potential of radar signals. Radar sensing has enabled several interactive human-machine interface applications and its application continues to grow multi-fold in recent years. For adoption of short-range radars for several industrial, consumer and in-cabin automotive applications require reliable system performance at small form factor, low-power and low-cost.
To enable interactive radar sensing applications, advanced signal processing and deep learning algorithms are required that can parse the radar return echo into meaningful target information or understanding the user's intent. In this talk, we demonstrate and highlight how radar processing is enabling two interactive applications, namely gesture sensing and human localization and tracking, which finds use in several advanced industrial, consumer and in-cabin applications.
Avik Santra received his M.E. degree (Hons.) in signal processing from the Indian Institute of Science, Bengaluru in 2010. Early in his career, he was a System Engineer developing signal processing algorithms for LTE/4G modem chipsets at Broadcom Communications. Subsequently, he worked at Airbus as a Research Engineer developing algorithms for cognitive radar demonstrators. Avik is currently senior staff expert algorithm engineer developing signal processing and machine learning algorithms for industrial, consumer and automotive short-range radars and depth sensors at Infineon Technologies AG, Neubiberg, Germany. He is a Senior Member of IEEE, and has filed over 40 patents, published over 30 research papers and is the author of ‘Deep Learning Applications of Short-Range Radars’, published by Artech House. He is a reviewer for various IEEE and Elsevier journals.
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