Peak-to-Average Power Ratio Reduction of OTFS Based on Precoding DFT-Spread
Author(s) -
Haiqing Guan,
Zongmiao He,
Xinyuan Yang,
Changjia Qu,
Yarui Zuo
Publication year - 2025
Publication title -
ieee access
Language(s) - English
Resource type - Magazines
SCImago Journal Rank - 0.587
H-Index - 127
eISSN - 2169-3536
DOI - 10.1109/access.2025.3618656
Subject(s) - aerospace , bioengineering , communication, networking and broadcast technologies , components, circuits, devices and systems , computing and processing , engineered materials, dielectrics and plasmas , engineering profession , fields, waves and electromagnetics , general topics for engineers , geoscience , nuclear engineering , photonics and electrooptics , power, energy and industry applications , robotics and control systems , signal processing and analysis , transportation
Orthogonal time frequency space (OTFS) modulation can effectively combat the multipath and Doppler effects in doubly-selective channels, making it suitable for high-speed mobility scenarios. However, conventional OTFS modulation suffers from a high peak-to-average power ratio (PAPR), hindering its practical implementation in ground mobile terminals. To address this challenge, this paper proposes a PAPR reduction method based on precoding discrete Fourier transform spread (DFT-spread) technique. First, the information symbols are precoded, followed by DFT-spread, and finally inverse discrete Zak transform (IDZT) is applied to achieve OTFS modulation. The precoding DFT-spread ensures that the OTFS modulation output approximates a repetition of the input, thereby achieving the PAPR performance comparable to single-carrier modulation. Furthermore, the proposed method simplifies the modulation architecture by replacing conventional inverse symplectic finite Fourier transform (ISFFT) and Heisenberg transform (HT) with IDZT, effectively reducing implementation complexity. Simulation results demonstrate that this method reduces the PAPR of OTFS signal by up to 4.0 dB, outperforming traditional DFT-spread techniques by approximately 1.4 dB.
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