DocumentCode :
2319388
Title :
PAPR reduction with phase factors suboptimization for OFDM systems
Author :
Gao, Jing ; Wang, Jinkuan ; Wang, Bin
Author_Institution :
Sch. of Inf. Sci. & Eng., Univ. of Northeastern Shenyang, Shenyang, China
fYear :
2010
fDate :
16-20 Aug. 2010
Firstpage :
302
Lastpage :
305
Abstract :
Partial transmit sequence (PTS) is an effective technique to reduce the peak-to-average power ratio (PAPR) for orthogonal frequency division multiplexing (OFDM) transmitter. However, selecting the optimal parameters for the PTS is very complex since it requires an exhaustive search of all possible weighting factors whose number grows exponentially with the number of subblocks. An improved particle swarm optimization (PSO) based PTS algorithm is proposed to reduce the complexity by choosing the weighting factors suboptimally. The evaluation shows that the proposed algorithm performs very closely to the optimal PTS in many cases with much lower complexity.
Keywords :
OFDM modulation; computational complexity; particle swarm optimisation; radio transmitters; OFDM; PAPR reduction; PTS algorithm; orthogonal frequency division multiplexing; partial transmit sequence; particle swarm optimization; peak-to-average power ratio; phase factors suboptimization; transmitter; weighting factors; Complexity theory; Hamming distance; Optimization; Partial transmit sequences; Particle swarm optimization; Peak to average power ratio; OFDM; PAPR; PTS;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Automation and Logistics (ICAL), 2010 IEEE International Conference on
Conference_Location :
Hong Kong and Macau
Print_ISBN :
978-1-4244-8375-4
Electronic_ISBN :
978-1-4244-8374-7
Type :
conf
DOI :
10.1109/ICAL.2010.5585297
Filename :
5585297
Link To Document :
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