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Jammer Mitigation in Multi-Antenna Systems

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Dec 02

Date and time: 2 December 2022, 10:00 – 11:00 CET
Speaker: Christoph Studer, ETH Zurich
Title: Jammer Mitigation in Multi-Antenna Systems

Where: Digital Futures hub, Osquars Backe 5, floor 2 at KTH main campus


Meeting ID: 695 6088 7455
Password: 755440

Host: Carlo Fischione
Administrator: Emil Björnson

Watch the recorded presentation:



Abstract: Jamming attacks pose a perennial threat to wireless communication systems on which society increasingly depends. Multi-antenna systems offer the possibility of jammer mitigation through spatial filtering, e.g., by projecting the received signals onto the subspace orthogonal to the jammer’s channel. Significant challenges remain, however. The first challenge relates to RF hardware: Strong jamming signals can overload the analog-to-digital converters (ADCs) and drown the useful signals in quantization noise. The resulting nonlinearities reduce the effectiveness of digital spatial filtering drastically. As a remedy, we propose hybrid architectures that attempt to pre-mitigate the jamming signal before the ADCs. Another challenge relates to smart jammers: Spatial filtering requires information about the jammer, e.g., in the form of its signal subspace or spatial covariance. In the case of simple barrage jammers, this information can be obtained using a “training interval” during which the jammer characteristics can be estimated. However, a smart jammer (i.e., a protocol-aware or a reactive jammer) might stop jamming during the training interval to evade estimation (and hence mitigation). A multi-antenna jammer might even modulate the subspace on which it is jamming by using time-varying beamforming. To mitigate such smart dynamic jammers, we propose a novel paradigm called JMD (Joint jammer Mitigation and data Detection) as well as a number of JMD-type jammer mitigation algorithms.

Bio:  Christoph Studer is an Associate Professor at ETH Zurich. He received his M.S. and PhD degrees at the Department of Information Technology and Electrical Engineering at ETH Zurich in 2006 and 2009, respectively. In 2005, he was a visiting researcher with the Smart Antennas Research Group at Stanford University. From 2009 to 2014, he was a postdoctoral researcher with the Communication Technology Laboratory at ETH Zurich and the Digital Signal Processing Group at Rice University in Houston, Texas. From 2014 to 2019, he was an Assistant Professor in the School of Electrical and Computer Engineering at Cornell University in Ithaca, New York. From 2019 to 2020, he was an Associate Professor at Cornell University and Cornell Tech in New York City. Prof. Studer’s research interests are at the intersection of communication theory, machine learning, and digital VLSI design. Prof. Studer received ETH Medals for his M.S. and PhD theses, a two-year Swiss National Science Foundation fellowship for Advanced Researchers, and a US National Science Foundation CAREER Award. He has won several best-paper and live demonstration awards at international conferences and received the Swisscom/ICTnet Innovations Award twice.

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