Signal Detection and Modulation Classification in Non-Gaussian Channels
Oct 23, 2012
from 04:00 PM to 05:00 PM
|Where||Engr. IV Bldg., Faraday Room 67-124|
|Contact Name||Prof. Danijela Cabric|
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Claudio da Silva
Samsung's Mobile Solutions Lab, San Diego
In this presentation, we discuss the design of algorithms for signal detection and modulation classification in fading channels with non-Gaussian noise. More specifically, through a maximum-likelihood framework, we propose different receiver algorithms which assume no or limited a priori knowledge of the fading experienced by the signal and the distribution of the noise added in the channel. The additive noise is modeled by using either a Gaussian mixture distribution or a symmetric alpha-stable distribution, which are well-known models of the man-made and natural noise that appears in most radio channels. For the case in which the noise has a Gaussian mixture distribution, we present a modulation classifier which utilizes a variant of the expectation-maximization algorithm to estimate channel and noise parameters without the aid of training symbols. A five-stage signal detection scheme that is based on the use of a matched myriad filter is then presented for the case in which the additive noise is modeled by a symmetric alpha-stable distribution.
This presentation represents joint work with Dr. Gautham Chavali. This work, which was partially funded by InterDigital, was performed while both Drs. da Silva and Chavali were with the Bradley Department of Electrical and Computer Engineering at Virginia Tech.
Claudio da Silva is a Senior Staff Engineer with Samsung's Mobile Solutions Lab. He has over ten years of experience in the design and analysis of receiver architectures and signal processing algorithms for advanced wireless communication devices. Prior to joining Samsung, Dr. da Silva was an Assistant Professor at Virginia Tech, where he conducted research on dynamic spectrum access and cognitive radio networks. Dr. da Silva received the B. S. and M. S. from the State University of Campinas in 1999 and 2001, respectively, and the Ph.D. from the University of California, San Diego in 2005, all in electrical engineering. Dr. da Silva received the best student paper award at the 2003 IEEE Conference on Ultra-Wide Band Systems and Technologies, and was a California Institute of Telecommunications and Information Technology graduate student fellow during the 2001-2002 academic year. He spent the summer of 2004 with the Corporate Technology Group of Intel Corp. Dr. da Silva is an Associate Editor for Modulation and Signal Design for the IEEE Transactions on Communications. He is a Senior Member of the IEEE and has served on the technical program committee of numerous IEEE conferences in the communications area.