Open AccessPAPR Reduction of Multicarrier Faster-than-Nyquist Signaling by PTS Based on Tree
Author(s) -
Biao Cai,
Aijun Liu,
Chao Gao,
Xiaohu Liang
Publication year - 2019
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1345/4/042009
Subject(s) - reduction (mathematics) , signal (programming language) , nyquist–shannon sampling theorem , tree (set theory) , sequence (biology) , computer science , electronic engineering , nyquist rate , degradation (telecommunications) , algorithm , mathematics , telecommunications , engineering , sampling (signal processing) , chemistry , mathematical analysis , biochemistry , geometry , detector , programming language
One of the common drawbacks of multicarrier communication systems is high peak-to-average power ratio (PAPR). Duo to the overlapped structure of multicarrier faster-than-Nyquist (MFTN) signaling, conventional PAPR reduction methods show poor performance. In this paper, we investigate the PAPR reduction of MFTN signaling. Specifically, as one of the most attractive methods, partial transmit sequence (PTS) method is exploited in MFTN signaling system. First, PTS method is combined with alternative signal (AS) to overcome the overlapped structure of MFTN signaling. Then, a tree based PTS method combined with AS is proposed, and all the candidate signal sequences can be generated by adding the difference signal sequence on the last candidate signal sequence, which can reduce the computational complexity significantly. Simulation results show that the proposed method does not have performance degradation on PAPR reduction.