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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 Date of Defense 2010-06-29 Date of Submission 2010-07-06