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
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