COMSYS Talk : "Wireless Channel Modelling experiments of Drone-Ground links and Channel estimation in 1-bit quantized mm-Wave receivers"

K V S Hari, Professor, Department of ECE, Indian Institute of Science, Bangalore -
Communication systems

Date: -
Location: Eurecom

Bio : K.V.S. Hari is a Professor in the Department of ECE, Indian Institute of Science, Bangalore. He holds a PhD (Systems Science) from U.C. San Diego and has been a visiting faculty at Stanford University and Affiliate Professor at KTH- Royal Institute of Technology, Stockholm. His research interests are in Signal Processing and Deep Learning with applications to 5G wireless communications, indoor positioning, dual function radar and communication systems, autonomous navigation, neuroscience, and affordable MRI systems. He is a co-author of the IEEE 802.16 standard on wireless channel models. He has been part of the Indo-UK Advanced Technology Centre (IU-ATC) and currently leads the British Telecom India Research Centre (BTIRC). He served as the Chair, Standardisation Committee, Telecom Standards Development Society, India. He was an Editor of EURASIP’s Signal Processing and is currently the Editor-in-Chief (Electrical Sciences) of Sadhana, the journal of the Indian Academy of Sciences published by Springer. He is a Fellow of the Indian National Academy of Engineering, Indian National Science Academy and IEEE. He is on the Board of Governors, IEEE Signal Processing Society as VP-Membership. More details at http://ece.iisc.ac.in/~hari . Abstract : In this 2-part seminar, the first part will present the drone-ground wireless channel measurement system design, data collection methodology, and preliminary results of the analysis based on the experiments that have been carried out on the campus of the Indian Institute of Science, Bangalore. In the second part, a novel method for Millimetre-Wave Channel estimation for 1-bit quantized receivers using low-rank matrix constraints will be presented. This work proposes two methods which use the low-rank property of mmWave channels and additional constraints of entry-wise infinity norm and angular sparsity which improves the normalised mean squared error of the channel estimates in the low-SNR case.