DocumentCode :
2695570
Title :
Magnitude-Scaled Selected Mapping: A Crest Factor Reduction Scheme for OFDM Without Side-Information Transmission
Author :
Baxley, Robert J. ; Chunming Zhao ; Zhou, G. Tong
Author_Institution :
Sch. of Electr. & Comput. Eng., Georgia Tech., Atlanta, GA, USA
Volume :
3
fYear :
2007
fDate :
15-20 April 2007
Abstract :
Selected mapping (SLM) is a distortionless crest factor reduction (CFR) method for orthogonal frequency division multiplexing (OFDM) transmission. With SLM, it is possible to reduce the peak-to-average power ratio (PAR) of an OFDM symbol by several decibels. In this paper, we propose a method for SLM phase sequence detection that does not require side information transmission. We refer to this method as magnitude-scaled SLM, in the sense that it scales the frequency-domain power profile of the OFDM symbol with an envelope function from a set of pre-determined envelope functions. From the envelope of the received symbol, the receiver can detect which envelope and thus which phase sequence was used in the transmission. Also presented in this paper are the theoretical characterizations of the detection error rate (DER) and symbol error rate (SER) in a magnitude-scaled SLM system. Compared with ordinary OFDM without CFR, magnitude-scaled SLM can achieve an order of magnitude SER improvement in a peak-power-limited channel.
Keywords :
OFDM modulation; OFDM; crest factor reduction scheme; detection error rate; distortionless crest factor reduction method; frequency-domain power profile; magnitude-scaled selected mapping phase sequence detection; orthogonal frequency division multiplexing; peak-power-limited channel; peak-to-average power ratio; symbol error rate; Digital audio broadcasting; Digital video broadcasting; Envelope detectors; Error analysis; Maximum likelihood detection; OFDM; Peak to average power ratio; Phase detection; Signal mapping; Wireless LAN; Orthogonal frequency division multiplexing; crest factor reduction; peak-to-average power ratio; selected mapping;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Acoustics, Speech and Signal Processing, 2007. ICASSP 2007. IEEE International Conference on
Conference_Location :
Honolulu, HI
ISSN :
1520-6149
Print_ISBN :
1-4244-0727-3
Type :
conf
DOI :
10.1109/ICASSP.2007.366550
Filename :
4217724
Link To Document :
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