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Bounds for Channel Estimation in MIMO Systems

Lee Swindlehurst

Abstract

Lack of accurate channel state information is perhaps the key impediment to achieving the high throughput rates promised by wireless systems employing multiple antennas.
In this talk, we discuss the fundamental limits of how accurately the channel can be estimated in a variety of scenarios, from interpolation in MIMO-OFDM systems to predicting the channel into the future. We will discuss the trade-offs associated with various channel models, both parametric and non-parametric, including those that exploit array calibration information.

Biography

A. LEE SWINDLEHURST received the B.S., summa cum laude, and M.S. degrees in Electrical Engineering from Brigham Young University, Provo, Utah, in 1985 and 1986, respectively, and the PhD degree in Electrical Engineering from Stanford University in 1991. From 1986-1990, he was employed at ESL, Inc., of Sunnyvale, CA, where he was involved in the design of algorithms and architectures for several radar and sonar signal processing systems.  He was on the faculty of the Department of Electrical and Computer Engineering at Brigham Young University from 1990-2007, where he was a Full Professor and served as Department Chair from 2003-2006.  During 1996-1997, he held a joint appointment as a visiting scholar at both Uppsala University, Uppsala, Sweden, and at the Royal Institute of Technology, Stockholm, Sweden.  From 2006-07, he was on leave working as Vice President of Research for ArrayComm LLC in San Jose, California.  He is currently a Professor of Electrical Engineering and Computer Science at the University of California at Irvine.  His research interests include sensor array signal processing for radar and wireless communications, detection and estimation theory, and system identification, and he has over 150 publications in these areas.

Dr. Swindlehurst is a Fellow of the IEEE, and a past Secretary of the IEEE Signal Processing Society.  He is currently serving as Editor-in-Chief of the IEEE Journal of Selected Topics in Signal Processing, as a member of the Editorial Boards for the EURASIP Journal on Wireless Communications and Networking and the IEEE Signal Processing Magazine, and is a past Associate Editor for the IEEE Transactions on Signal Processing.  He is a recipient of several paper awards: the 2000 IEEE W. R. G. Baker Prize Paper Award, the 2006 IEEE Signal Processing Society’s Best Paper Award, the 2006 IEEE Communications Society Stephen O. Rice Prize in the Field of Communication Theory and is co-author of a paper that received the IEEE Signal Processing Society Young Author Best Paper Award in 2001.

Lee Swindlehurst Headshot
Lee Swindlehurst
University of California at Irvine
EEB 125
28 Feb 2008, 12:00am until 12:00am