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OPTIMAL WHITENING APPROACH BASED MULTIUSER
DETECTION IN FIXED WIRELESS COMMUNICATION NETWORKS
S.J Thiruvengadam, A.R.Karthikeyan, M.Bama, V.Abhaikumar
TIFAC CORE in Wireless Technologies,
Thiagarajar College of
Engineering Madurai – 625 015, India
Abstract
This paper exploits the Angle of Arrival
(AoA) information for improving Bit Error Rate (BER) performance of
fixed wireless communications, which is more predominant in wireless
sensor networks. In the proposed approach, the steering vector
corresponding to the AoA is used as the signature vector and the signals
arriving at other directions are considered as interference for single
user environment. The closed form analytical expression has been derived
for BER. In a multiuser environment, orthogonal multiuser receiver is
used with the steering vectors corresponding to the AoAs of the active
users. Further, the concept of optimal whitening is applied to improve
BER performance of the fixed wireless communication system. Performance
of the proposed receiver is analyzed in Additive White Gaussian Noise
and Rayleigh fading environments.
Keywords:
Multiuser Detection, Beamforming, Array Processing, Optimal Whitening
Transformation, Wireless Communications.
( Full
paper, 373KB )
Biographies:
 |
S
J Thiruvengadam received his
Bachelor's degree in Electronics and Communication Engineering
and Master's degree in Applied Electronics from Thiagarajar
College of Engineering, Madurai, and College of Engineering,
Anna University in 1991 and 1994 respectively. He received his
PhD Degree from Madurai Kamaraj University in 2005. Currently,
he is assistant professor at Baseband Processing laboratory,
TIFAC CORE in Wireless Technologies at Thiagarajar College of
Engineering, Madurai. His research interests are signal
processing for communications, Ultrawideband Systems. |
 |
A R Karthikeyan
received his Bachelor's degree in Electronics and Communication
Engineering and Master's degree in Wireless Technologies from
Thiagarajar College of Engineering, Madurai, India in 2002 and
2005 respectively. During his master’s, he worked as a project
associate in Baseband Laboratory, Thiagarajar Advanced Research
Centre, Thiagarajar College of Engineering, Madurai. He worked
as Senior Engineer in Research & Technology (Wireless) Division
of Honeywell Technology Solutions Lab, India from July 2005 to
July2006. He is currently a graduate student at Electrical
Engineering Department, Indian Institute of Technology, Madras.
His research interests are signal processing for communications,
nonlinear fibre optics. |
 |
M. Bama
received her Bachelor's degree in Electronics and Communication
Engineering and Master's degree in Wireless Technologies from
Thiagarajar College of Engineering, Madurai, India in 2003 and
2005 respectively. During her master’s, she worked as a project
associate in Baseband Laboratory, Thiagarajar Advanced Research
Centre, Thiagarajar College of Engineering, Madurai. Now, she is
pursuing her PhD at Indian Institute of technology, Madras. Her
research interests include Signal Processing, Coding and
Information Theory and their application to Wireless
Communication Systems. |
 |
V Abhaikumar
received his Bachelor's degree in Electronics and Communication
Engineering and Master's degree in Communication Systems from
PSG College of Technology, Coimbatore in 1977 and 1979
respectively. He received his PhD Degree from Indian Institute
of Technology, Madras, in 1984. Currently, he is Dean (Research)
and Principal of Thiagarajar College of Engineering, Madurai. He
is a senior member of IEEE. He has coauthored 70 technical
papers in reputed journals, International and National
Conferences. His research interests include array signal
processing and smart antennas. |
BibTex:
AUTHOR = {S.J
Thiruvengadam and A.R.Karthikeyan and M.Bama
and V.Abhaikumar },
TITLE = {
OPTIMAL WHITENING APPROACH BASED
MULTIUSER DETECTION IN FIXED WIRELESS
COMMUNICATION NETWORKS
},
JOURNAL = {ICGST
The International Journal on Digital Signal
Processing,
DSP},
YEAR = {2006},
VOLUME = {06},
ISSUE = {I},
PAGES = {39--44}
}
(Full
paper, 373KB )
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