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Volume 44 Issue 2
Feb.  2022
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ZHAO Hui, WANG Wei, MO Jinrong, ZHANG Tianqi. Structure Optimization of Low Peak-to-average Power Ratio Filter Bank MultiCarrier Based on Constellation Symbol Sequence Local Phase Rotation[J]. Journal of Electronics & Information Technology, 2022, 44(2): 668-676. doi: 10.11999/JEIT210079
Citation: ZHAO Hui, WANG Wei, MO Jinrong, ZHANG Tianqi. Structure Optimization of Low Peak-to-average Power Ratio Filter Bank MultiCarrier Based on Constellation Symbol Sequence Local Phase Rotation[J]. Journal of Electronics & Information Technology, 2022, 44(2): 668-676. doi: 10.11999/JEIT210079

Structure Optimization of Low Peak-to-average Power Ratio Filter Bank MultiCarrier Based on Constellation Symbol Sequence Local Phase Rotation

doi: 10.11999/JEIT210079
Funds:  The National Natural Science Foundation of China (61671095)
  • Received Date: 2021-01-26
  • Rev Recd Date: 2021-05-24
  • Available Online: 2021-06-09
  • Publish Date: 2022-02-25
  • Considering the problem that the Low Peak-to-average power ratio Filter Bank MultiCarrier (LP-FBMC) structure based on Discrete Fourier Transform(DFT) spread spreading requires additional transmission Side Information (SI), an optimized structure of without SI based on local phase rotation of constellation symbol sequence is proposed. Considering that SI is generated by LP-FBMC choosing four signal transmission forms at the transmitter, combining the connection between the demodulated constellation symbols sequence and the original symbols sequence of these four forms, the local phase rotation of the constellation symbol sequence is adopted to avoid the transmission of SI. The local rotation method reduces the number of the phase rotation angles, which reduces the complexity, and the correct rate of phase estimation is improved at the receiver by expanding the decision range of phase. The simulation results show that the proposed structure not only maintains the same PAPR suppression performance and similar BER performance as the LP-FBMC structure, but also reduces the computational complexity by about 20% compared with the embedded SI structure.
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