This presentation will analyze signal models applicable to Smart-Antennas and CDMA propogation. Dr. Nehorai will present a general statistical framework for maximum likelihood (ML) antenna array processing where the noise is spatially correlated with unknown covariance. The talk will then focus on the application to space-time fading channel estimation and symbol detection. The received signal will be modeled as a linear combination of multipath-delayed and Doppler-shifted copies of the transmitted waveform. Both structured and unstructured array response models, and present Cramer-Rao bound (CRB) results for the unknown directions, time delays and Doppler shifts will be considered. Dr. Nehorai will propose coherent matched filter and concentrated-likelihood receivers that account for the spatial noise covariance and analyze their performance.

Arye Nehorai received the B.Sc. and M.Sc. degrees in Electrical Engineering from the Technion-Israel Institute of Technology, in 1976 and 1979, and the Ph.D. degree in Electrical Engineering from Stanford University, Stanford, CA, in 1983. Following graduation, he held a position as a Research Engineer for Systems Control Technology in Palo Alto, California. From 1985 to 1995 he was with the Department of Electrical Engineering at Yale University, where he became Associate Professor in 1989. In 1995, he joined the Electrical Engineering and Computer Science Department at the University of Illinois at Chicago (UIC) and was Chair of the department's Electrical and Computer Engineering (ECE) Division from 2000 to 2001. He holds joint professorship with the ECE and Bioengineering Departments at UIC. His research interests are in signal processing, communications and biomedicine. Dr. Nehorai is a Fellow Member of IEEE and Editor-in-Chief of the IEEE Transactions on Signal Processing.

For more information on Dr. Nehorai, please see his webpage https://www.ece.uic.edu/temp/ECE_people/nehorai.htm

Place:
Motorola
Schaumburg, Illinois