
ESPRIT-based high-resolution parameter estimation algorithms in DFT beamspace have been proposed as efficient gridless channel estimation schemes for MIMO OFDM systems in the millimeter wave (mmWave) band. Compared to conventional ESPRIT-based algorithms in element space, the DFT beamspace approach can be applied to MIMO systems with hybrid analog-digital architectures. Moreover, this approach significantly reduces the training overhead for communication systems operating in the mmWave band. It involves coarse and fine estimation steps.
Since the number of coherent DFT measurements is equal to the number of RF chains that is much smaller than the number of antennas, only a small spatial region can be scanned coherently. To increase the number of coherent measurements, i.e., the spatial sector of interest, while keeping the number of RF chains small, additional virtual RF chains can be generated through time-domain-multiplexed (TDM) measurements within the channel coherence time. However, due to hardware imperfections, random phase jump errors may occur between the TDM measurements that significantly reduce the parameter estimation accuracy.
In this talk, we present a new gridless phase noise parameter compensation (PNPC) algorithm to jointly estimate the random phase jump errors and the directions of arrival (DoAs) in DFT beamspace. It is based on a modified beamspace shift invariance equation that considers the contributions of the random phase jump errors and the DoAs. An iterative procedure is developed to jointly estimate both. The simulations show that, even in the presence of random phase jump errors, the proposed PNPC DFT ESPRIT algorithm can achieve a similar performance as without these phase jump errors.
After studying electrical engineering at the Ruhr-University Bochum, Germany, and at Purdue University, USA, he received his Diplom-Ingenieur (M.S.) degree from the Ruhr-University Bochum in 1991 and his Doktor-Ingenieur (Ph.D.) degree from Munich University of Technology in 1996.
In 1997 he joined Siemens Mobile Networks in Munich, Germany, where he was responsible for strategic research for third generation mobile radio systems. From 1998 to 2001 he was the Director for International Projects and University Cooperations in the mobile infrastructure business of Siemens in Munich, where his work focused on mobile communications beyond the third generation.
He is a Fellow of the IEEE and of EURASIP. Moreover, he has received the 2009 Best Paper Award from the IEEE Signal Processing Society, the Vodafone (formerly Mannesmann Mobilfunk) Innovations-Award for outstanding research in mobile communications, the ITG best paper award from the Association of Electrical Engineering, Electronics, and Information Technology (VDE), and the Rohde & Schwarz Outstanding Dissertation Award.
His research interests include wireless communications, array signal processing, high-resolution parameter estimation, as well as numerical linear and multi-linear algebra.