ETRI Journal
- 제29권3호
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- Pages.402-404
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- 2007
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- 1225-6463(pISSN)
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- 2233-7326(eISSN)
RBF Neural Network Based SLM Peak-to-Average Power Ratio Reduction in OFDM Systems
- Sohn, In-Soo (Department of Electronic Engineering, Dongguk University)
- 투고 : 2006.08.18
- 발행 : 2007.06.30
초록
One of the major disadvantages of the orthogonal frequency division multiplexing system is high peak-to-average power ratio (PAPR). Selected mapping (SLM) is an efficient distortionless PAPR reduction scheme which selects the minimum PAPR sequence from a group of independent phase rotated sequences. However, the SLM requires explicit side information and a large number of IFFT operations. In this letter we investigate a novel PAPR reduction method based on the radial basis function network and SLM.