DocumentCode :
2632737
Title :
Semi-Blind Source Separation for Memoryless Volterra Channels in UWB and its Uniqueness
Author :
Petrochilos, Nicolas ; Witrisal, Klaus
Author_Institution :
CReSTIC, Reims Univ.
fYear :
2006
fDate :
12-14 July 2006
Firstpage :
566
Lastpage :
570
Abstract :
We study in this article the output of an autocorrelation receiver for a delay-hopped transmitted-reference ultra-wideband (UWB) communications systems with multiple access. Next to a linear multi-input multi-output (MIMO) channel, this receiver generates quadratic channels consisting of cross-product between original sources. Hence the received signal is the output of a multi-user (MU) MIMO Volterra channel, which can be ensured to be memoryless. We propose a novel blind algorithm to perform source separation and a semi-blind version of it. After demonstrating its effectiveness, we discuss the uniqueness problem for linear-quadratic channels with binary input
Keywords :
MIMO systems; blind source separation; matrix algebra; multiuser channels; radio receivers; ultra wideband communication; MIMO channel; UWB communications systems; autocorrelation receiver; delay-hopped transmitted-reference ultra-wideband; linear multiinput multioutput; linear-quadratic channels; memoryless Volterra channels; multiuser channels; semi-blind source separation; Autocorrelation; Blind source separation; Data models; Delay; MIMO; Phase estimation; Sampling methods; Source separation; Ultra wideband communication; Ultra wideband technology;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Sensor Array and Multichannel Processing, 2006. Fourth IEEE Workshop on
Conference_Location :
Waltham, MA
Print_ISBN :
1-4244-0308-1
Type :
conf
DOI :
10.1109/SAM.2006.1706197
Filename :
1706197
Link To Document :
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