Title: "High-Performance Wireless Sensing with Low-Complexity Array Measurements"
Speaker: Dr.-Ing. Manuel S. Stein
Location: "Shannon" Seminar Room (a105) Place du Levant 3, Maxwell Building, 1st floor
Date / Time (duration): Tuesday 13/03/2018, 11h00 (~ 45')
Abstract: While the technological capabilities regarding digital data transmission, storage, and computation have exponentially increased during the last decades, the advances associated with analog wireless equipment were only moderate. Therefore, today hardware cost and power consumption of radio interfaces form the main obstacles for constructing future wireless systems featuring either ultra-low complexity or ultra-high performance. However, in the advent of the Internet of things (IoT), where cheap and small devices are supposed to perform wireless sensing, and with the increasing demands for performance in critical infrastructure applications, it is inevitable further pushing radio technology towards these extremes.
In this context, we consider detection and localization of a band-limited wireless source with unknown structure by a sensor array providing single-bit radio measurements. Reducing the intractable probabilistic models arising under binary sensing within the exponential family, we conservatively approximate established information measures connected to signal processing performance. The presented methods are utilized to study the favorable design of a wireless spectrum monitoring system for satellite-based navigation and synchronization frequencies. In particular, we explore the achievable system performance as a function of the binary antennas in use and demonstrate the practical potential of the envisioned high-performance low-complexity wireless sensing and processing technology via simulations.
Biography: Manuel S. Stein received the B.Sc., the Dipl.-Ing. and the Dr.-Ing. degree in Electrical Engineering and Information Technology from the Technische Universität München (TUM), Germany, in 2009, 2010 and 2016, respectively. From 2011 to 2016, he has been a Research Associate at the Institute of Circuit Theory and Signal Processing, TUM, while serving as a Teaching Assistant at the Department of Electrical and Computer Engineering, TUM. In 2016 he was with the Signal and System Theory Group, Universität Paderborn, Germany. Currently, he is a Postdoctoral Research Fellow at the Mathematics Department, Vrije Universiteit Brussel, Belgium, and at the Chair for Stochastics, Universität Bayreuth, Germany. He is the recipient of the first P.R.I.M.E. Marie Skłodowska-Curie Fellowship granted by the German Academic Exchange Service in the electrical engineering sciences and was awarded the [PEGASUS]² Marie Skłodowska-Curie Fellowship by the Research Foundation Flanders, Belgium. His research focuses on the foundations of statistical signal processing with low-complexity sensor design and its application in wireless synchronization, array processing, communication, and radar.
Last updated March 12, 2018, at 09:08 AM