DocumentCode :
2065939
Title :
An Improved SLM Algorithm for PAPR Reduction in OFDM
Author :
Lu Xuan-min ; Wang Yu-shi ; Zhou Ya-jian
Author_Institution :
Sch. of Electron. & Inf., Northwestern Polytech. Univ., Xi´an, China
Volume :
4
fYear :
2010
fDate :
14-15 Aug. 2010
Firstpage :
69
Lastpage :
72
Abstract :
To resolve the problem that the peak-to-average power ratio (PAPR) in orthogonal frequency-division multiplexing (OFDM) systems is too high, an improved selected mapping (SLM) is proposed in this paper. By scaling the selected signal amplitude and dividing the OFDM vector in the transmitter, it saves the system bandwidth and reduce the PAPR efficiently, and it doesn´t need side information to be sent. At the same time, the random phase sequence information is rapidly recovered by using related detective algorithm, which largely raises the detective efficiency in the receiver. The simulation results show that the improved SLM could reduce the PAPR more efficiently while the bit error rate (BER) is similar to the one of the typical SLM.
Keywords :
OFDM modulation; error statistics; random sequences; BER; OFDM; PAPR reduction; bit error rate; detective algorithm; improved SLM algorithm; orthogonal frequency division multiplexing system; peak-to-average power ratio; random phase sequence information; selected mapping; signal amplitude scaling; system bandwidth; Bit error rate; Fading; Peak to average power ratio; Receivers; Silicon; Transmitters; OFDM; Peak-to-Average Power Ratio; Selected Mapping; Side Information Detection;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Information Engineering (ICIE), 2010 WASE International Conference on
Conference_Location :
Beidaihe, Hebei
Print_ISBN :
978-1-4244-7506-3
Electronic_ISBN :
978-1-4244-7507-0
Type :
conf
DOI :
10.1109/ICIE.2010.306
Filename :
5571686
Link To Document :
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