期刊论文详细信息
ETRI Journal | |
RBF Neural Network Based SLM Peak-to-Average Power Ratio Reduction in OFDM Systems | |
关键词: OFDM system; PAPR reduction; | |
Others : 1185570 DOI : 10.4218/etrij.07.0206.0155 |
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【 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 of IFFT operations. In this letter we investigate a novel PAPR reduction method based on the radial basis function network and SLM.
【 授权许可】
【 预 览 】
Files | Size | Format | View |
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20150520112435791.pdf | 248KB | download |
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