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URN etd-0802116-140712 Statistics This thesis had been viewed 591 times. Download 1 times. Author Hao-ping Ho Author's Email Address No Public. Department Communication Engineering Year 2015 Semester 2 Degree Master Type of Document Master's Thesis Language zh-TW.Big5 Chinese Page Count 59 Title An improved PTS scheme with low-complexity conversion matrices for PAPR reduction in OFDM systems Keyword IFFT OFDM PAPR PRS PRS PAPR OFDM IFFT Abstract Orthogonal frequency division multiplexing (OFDM) is a promising technique for high-speed data rate wireless transmission systems because it is robust to multipath fading and has high spectral efficiency. One of the main drawbacks of OFDM systems is the high peak-to-average power ration (PAPR) of transmitted signals. Partial transmit sequence (PTS) scheme is a very attractive technique because it has a good PAPR reduction performance without signal distortion. However, conventional PTS scheme requires high computational complexity for finding the optimal phase rotation vector. In this thesis, a new improved PTS scheme with low-complexity conversion matrices has been proposed to reduce the PAPR of OFDM signals. In the proposed PTS method, we use the interleaving method and the pseudo-random method to divide subblock into several disjoint subblocks, where the IFFT of each subblock has the characteristics of odd and even symmetry. In addition, one selected subblock is multiplied by two predefined phase rotation vectors to generate two alternative signals. The time-domain signals of the two alternative signals can be obtained easily by doing circular-shift-left operations on the time-domain signal of the original subblock. Also, we use three cost functions to select the samples for PAPR estimation of each candidate signal, which can largely reduce the computational complexity of the process to find the optimal candidate signal. Simulation results show that the proposed PTS scheme has a PAPR reduction performance close to the conventional PTS scheme, but with much lower computational complexity. Advisor Committee Sheng-ju Ku - advisor
Chau-yun Hsu - co-chair
Ou-yang Yuan - co-chair
Files Date of Defense 2016-07-14 Date of Submission 2016-08-02