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 Seminar: Enhancing interference mitigation in wireless communication
Seminar Information

Enhancing interference mitigation in wireless communication

Speaker: Wai Yie Leong, ITEE

When: 2003-06-12 11:00:00

Venue: 78-420

Host: Dr. John Homer

Abstract:

Wireless technology is revolutionizing the way we share information
and communicate. The demands for mobility have made wireless
technology the primary source for voice communication. Spread
spectrum is a technique in which the transmitted signal is spread
over a broader portion of the radio frequency band, by means of a
code independent of the data. This technique will allow a better
performance over a fading channel, inherent privacy, and immunity to
narrowband interference. The FCC has restricted the commercial use
of this technology due to the increased frequency space it
occupies. Therefore, steps have to be taken to overcome the
co-existence of wireless devices over this radio band. In this
report, the author proposes to adopt blind source separation
techniques and wavelets analysis for interference mitigation in the
ISM band. These techniques strive to separate a mixture of N
independent non-Gaussian signals received on an array of sensors and
as such produce a signal with reduced jammer contamination. With the
jammer mostly mitigated through the separation process, the SS
system requires smaller spreading gain and transmission bandwidth
than the case in which no separation is performed. The proposed
spread spectrum receiver based on source separation improves the SNR
at the correlator output and its performance is robust to multipath
and a coherent jamming environment. Simulation results, which
include other algorithms/techniques, are provided to illustrate the
effectiveness of the proposed approach.

Biography:

Wai yie has received the degree of Bachelor of Electrical
Engineering from the University of Queensland in 2001. she is
currently undertaking a Ph.D. at the University of Queensland in the
area of Wireless communication. Her research interests include blind
signal separation,wavelet analysis, fuzzy logic and denoising method.

Type: Ph.D confirmation

Contact:

Dr. John Homer, seminar host (homerj@itee.uq.edu.au)
or Guido Governatori (ITEE seminar co-ordinator)
(guido@itee.uq.edu.au)