Exhaustive entropy based SLM method for PAPR reduction of OFDM system
NING Lei1, WANG Zhenyong1, PAN Jing2, YANG Mingchuan1, GUO Qing1
1.Communication Research Center, Harbin Institute of Technology,Harbin;2.Key Laboratory of Electronic Engineering College, Heilongjiang University,Harbin 150001, China
Abstract:
Orthogonal frequency division multiplexing (OFDM) is an attractive technology to provide immense improvement in wireless transmission capacity but high peak to average power ratio (PAPR) is a major drawback of OFDM system. Selected mapping (SLM) scheme has good performance for PAPR reduction. It requires the transmitting data to be multiplied by random phase sequences. However, the sequences are pseudo random which will decrease the method effectiveness. Exhaustive entropy is introduced in this paper which can identify the strength of random phase sequences property. Then an exhaustive entropy based on SLM method is proposed. The scheme improves the effectiveness of random phase sequences by selecting the larger exhaustive entropy of them. The simulation results show that the PAPR reduction performance is better than that of conventional SLM through this method.
Key words: exhaustive entropy orthogonal frequency division multiplexing (OFDM) peak to average power ratio (PAPR) selected mapping (SLM)
DOI：10.11916/j.issn.1005-9113.2012.02.016
Clc Number:TN911
Fund:
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Exhaustive entropy based SLM method for PAPR reduction of OFDM system
本站小编 哈尔滨工业大学/2019-10-24
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