RBF Neural Network Based SLM Peak-to-Average Power Ratio Reduction in OFDM Systems

摘要

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 oflFFT operations. In this letter we investigate a novel PAPR reduction method based on the radial basis function network and SLM.