DocumentCode :
1333974
Title :
On Optimal Front-End Filter for Single-User Detection in IR-UWB Systems
Author :
Nader-Esfahani, Said ; Rezaii, Mahsa ; Ghasemi, Akbar
Author_Institution :
Sch. of Electr. & Comput. Eng., Univ. of Tehran, Tehran, Iran
Volume :
60
Issue :
1
fYear :
2012
fDate :
1/1/2012 12:00:00 AM
Firstpage :
37
Lastpage :
41
Abstract :
We consider a K user Gaussian multiple access system with impulse radio ultra-wideband signaling. The receiver is assumed to treat the Multi-Access Interference (MAI) as additive noise and does not enjoy multiuser detection. It is well known that for such a system the MAI is neither Gaussian nor white. Although, the non-Gaussianity of the MAI has been extensively studied, little attention has been directed to the non-whiteness of it. In this paper, we show that by employing a new front-end filter at the receiver, the non-whiteness of the MAI can be exploited to improve the performance of the single-user detector. We use the signal-to-interference-plus-noise ratio (SINR) as a merit to evaluate the performance improvement brought to the system. The SINR improvement depends on the interference level as well as pulse waveform. The bit error rate of the system is also simulated and compared with that of conventional matched filter receiver.
Keywords :
error statistics; matched filters; radiofrequency interference; telecommunication signalling; ultra wideband communication; IR-UWB systems; K user Gaussian multiple access system; MAI; SINR; additive noise; bit error rate; impulse radio ultra-wideband signaling; matched filter receiver; multi-access interference; multiuser detection; optimal front-end filter; signal-to-interference-plus-noise ratio; single-user detection; Bandwidth; Interference; Matched filters; Receivers; Shape; Signal to noise ratio; Impulse radio; matched filter; multiple-access; ultra-wideband communication;
fLanguage :
English
Journal_Title :
Communications, IEEE Transactions on
Publisher :
ieee
ISSN :
0090-6778
Type :
jour
DOI :
10.1109/TCOMM.2011.091911.100216
Filename :
6029345
Link To Document :
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