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Paper Detail

Paper:	SPCOM-L6.1
Session:	Channel Estimation & Equalization
Time:	Friday, May 19, 10:00 - 10:20
Presentation:	Lecture
Topic:	Signal Processing for Communication: Channel modeling and estimation, training schemes
Title:	Subspace-Based Blind Channel Estimation in DS-CDMA Systems with Unknown Wide-Sense Stationary Interference
Authors:	Keyvan Zarifi, Alex B. Gershman, Darmstadt University of Technology, Germany
Abstract:	A new blind subspace-based channel and signature waveform estimation technique is proposed for DS-CDMA communication systems operating in the presence of unknown wide-sense stationary interference. Unlike the existing algorithms, our technique requires single receive antenna and is applicable to the general case of arbitrary transmitted symbol constellations. Necessary and sufficient conditions for identifiability of the proposed technique are derived. Closed-form expressions for the mean-squared error (MSE) of the estimated channel are obtained and verified by means of simulations.