LUO Renze, ZHANG Chengsen, NIU Na, LI Rui. A Low-Complexity PTS Based on Greedy and Genetic Algorithm for OFDM Systems[J]. Chinese Journal of Electronics, 2015, 24(4): 857-861. doi: 10.1049/cje.2015.10.032
Citation: LUO Renze, ZHANG Chengsen, NIU Na, LI Rui. A Low-Complexity PTS Based on Greedy and Genetic Algorithm for OFDM Systems[J]. Chinese Journal of Electronics, 2015, 24(4): 857-861. doi: 10.1049/cje.2015.10.032

A Low-Complexity PTS Based on Greedy and Genetic Algorithm for OFDM Systems

doi: 10.1049/cje.2015.10.032
Funds:  This work is supported by the National Natural Science Foundation of China (No.61072073), and in part by the Education Department Foundation of Sichuan Province (No.10ZA072), and the Higher Level New Teacher Science Research Foundation of Southwest Petroleum University.
  • Received Date: 2013-01-28
  • Rev Recd Date: 2014-09-30
  • Publish Date: 2015-10-10
  • Partial transmit sequence (PTS) is one of effective technique to reduce high Peak-to-average power ratio (PAPR) in Orthogonal frequency division multiplexing (OFDM) system. However, the complexity of Original PTS (O-PTS) increases exponentially with the number of sub-blocks. To reduce the computational complexity while still offering a lower PAPR, a new PTS method is proposed to search for suboptimal rotating vectors in this paper. In the proposed method, the candidate rotation vectors are generated based on greedy and genetic algorithm. We also combine the proposed method and the superimposed training sequence method to get a further PAPR reduction. The theory and simulations results show that the proposed method can achieve better PAPR reduction and significantly reduce the computational complexity.
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