ITEE Ph.D confirmation seminar: Wai Yie Leong, 11.00AM, Thu 12 Jun 2003
Enhancing interference mitigation in wireless communication
Speaker: Wai Yie Leong, ITEE
When: 11.00AM, Thursday 12 Jun 2003
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)
ITEE seminar web page: http://www.itee.uq.edu.au/~seminar
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