Novel Subblock Partitioning for PTS Based PAPR Reduction of OFDM Signals

• Main Authors: Hong-Han Yao, 姚宏翰
• Other Authors: Miin-Jong Hao
• Format: Others
• Language: en_US
• Published: 2014
• Online Access: http://ndltd.ncl.edu.tw/handle/33857666234874900132

碩士 === 國立高雄第一科技大學 === 電腦與通訊工程研究所 === 102 === Partial transmit sequence (PTS) technique is effective to reduce peak-to-average power ratio (PAPR) of the orthogonal frequency division multiplexing (OFDM) signals technique. PTS is used to reduce PAPR effectively with linear operation and does not have destructive and interfered effect for the OFDM signal itself. Without considering noise effects, the received signal can be demodulated perfectly at receiver end. The Pseudo-random partition scheme has the best PAPR reduction performance but comes with very high complexity, which is the problem we are going to solve for in this thesis. In this thesis we proposed three novel subblock partitioning schemes for PTS based PAPR reduction of OFDM signals: the Geometric Series Division (GSD), the Bidirectional Geometric Series Division (BGSD), and the Quadratic Permutation Polynomials (QPP) Based Index partition schemes. For GSD, a special geometric series are used for data assignment and this genomic series is a power of 2 increments. For iii BGSD, two sets of geometric series are used for data assignment, one series is a power of 2 in ascending series, and the other group is a power of 2 in descending series. For the QPP based index method, it uses the new values from the QPP interleaver as an index pointing to the locations of the data in each subblock. And then, the adjacent partition method is used for data assignment. The three division methods above not only overcome the problem of PAPR and have the PAPR performance close to that from the Pseudo-random partition scheme without high complexity like the Pseudo-random scheme. Finally, the numerical simulations are carried out to verify that our proposed methods can effectively solve the problem of high complexity and to reach the PAPR reduction performance. Key words: peak-to-average power ratio (PAPR), partial transmit sequence (PTS), Pseudo-random, Adjacent partition; complexity, Geometric Series, Quadratic Permutation Polynomials (QPP).