Volume 38 Issue 3
Mar.  2012
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Chen Ke, Hu Xiaoguang. Low complexity improved SLM algorithm for PAPR reduction in PLC system[J]. Journal of Beijing University of Aeronautics and Astronautics, 2012, (3): 394-399. (in Chinese)
Citation: Chen Ke, Hu Xiaoguang. Low complexity improved SLM algorithm for PAPR reduction in PLC system[J]. Journal of Beijing University of Aeronautics and Astronautics, 2012, (3): 394-399. (in Chinese)

Low complexity improved SLM algorithm for PAPR reduction in PLC system

  • Received Date: 29 Dec 2010
  • Publish Date: 30 Mar 2012
  • A reduce peak-to-average power ratio (PAPR) algorithm was proposed aim at the slow-variant and complex noise of channel. The partial data within the original data sequence were scrambled by circularly shifting to obtain a set of new data sequences. Each new data sequence tail was inserted the corresponding side information (SI) to form the input candidate sequence. Inverse fast Fourier transform (IFFT) was operated by different input candidate sequence separately to obtain different output sequence. Chosen of the lowest PAPR, the PAPR of system could be greatly reduced. The simulation results indicate that the improved algorithm can reduce PAPR effectively and get a better bit error rate and the algorithm has lower computational complexity than selected mapping (SLM).

     

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