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Title page for etd-0706110-130446


URN etd-0706110-130446 Statistics This thesis had been viewed 2364 times. Download 597 times.
Author Li Cho
Author's Email Address No Public.
Department Communication Engineering
Year 2009 Semester 2
Degree Master Type of Document Master's Thesis
Language English Page Count 74
Title Clipping Noise Reduction for OFDM by Hybrid-Symbol-Reconstruction
Keyword
  • PAPR Reduction
  • Papoulis-Gerchberg algorithm
  • Clipping
  • Clipping
  • Papoulis-Gerchberg algorithm
  • PAPR Reduction
  • Abstract Clipping is a simple and efficient solution to orthogonal frequency division multiplexing (OFDM) systems suffered from high Peak-to-Average Power Ratio (PAPR). However, clipping induces a noise of in-band distortion and out-of-band radiation that degrades the system performance. In this thesis, we proposed a novel application of Papoulis-Gerchberg algorithm (PGA) for reducing the clipping noise, and improved it with decision-aided reconstruction (DAR) and useful specification characteristics to attain hybrid-symbol-reconstruction (HSR) ultimately. The proposed HSR is applied to IEEE 802.16d-2004 scenario as an example. In our clipping model (clipping ratio is 4 dB,) the simulation results show the performance can be recovered to within 5 dB of the non-clipped case without additional computation complexity relative to conventional PGA.
    Advisor Committee
  • Chau-Yun Hsu - advisor
  • Che-Ho Wei - co-chair
  • Tsung-Ming Lo - co-chair
  • Files indicate in-campus access immediately and off-campus access at 2 years
    Date of Defense 2010-06-29 Date of Submission 2010-07-06


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