DocumentCode :
3276100
Title :
PAPR reduction in OFDM system using differential evolution-based partial transmit sequences scheme
Author :
Yao, Yung-cheng ; Hung, Ho-Lung ; Wen, Jyh-horng
Author_Institution :
Dept. of Electr. Eng., Nat. Chung Cheng Univ., Chiayi, Taiwan
Volume :
3
fYear :
2011
fDate :
10-13 July 2011
Firstpage :
1414
Lastpage :
1419
Abstract :
This paper proposes a partial transmit sequence (PTS) scheme with applying a stochastic optimization technique for peak-to-average power ratio (PAPR) reduction in the orthogonal frequency division multiplexing (OFDM) system. PTS technique combining can improve the PAPR statistics of an OFDM signals, but the considerable computational complexity for the required search through a high-dimensional vector space is a potential problem for implementation in the practical systems. Differential evolution (DE) is an efficient and powerful population-based stochastic search technique for solving optimization problems over continuous space, which has been widely applied in many scientific and engineering fields. Thus, to reduce the complexity for searching phase weight vector and to improve the PAPR statistics, we introduce the DE, an effective algorithm that solves various combinatorial optimization problems, to search the optimal phase weight factors. The simulation results show that the proposed DE-based PTS obtains the excellent PAPR performance with a low computational complexity.
Keywords :
OFDM modulation; computational complexity; evolutionary computation; search problems; stochastic programming; vectors; OFDM system; PAPR reduction; PAPR statistics; combinatorial optimization problem; computational complexity; continuous space; differential evolution; high-dimensional vector space; optimal phase weight factors searching; orthogonal frequency division multiplexing system; partial transmit sequences scheme; peak-to-average power ratio reduction; phase weight vector searching; population-based stochastic search technique; stochastic optimization technique; Complexity theory; Genetic algorithms; Machine learning; Optimization; Partial transmit sequences; Peak to average power ratio; Orthogonal frequency division multiplexing; Partial transmit sequence and differential evolution; Peak-to-average power ratio reduction;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Machine Learning and Cybernetics (ICMLC), 2011 International Conference on
Conference_Location :
Guilin
ISSN :
2160-133X
Print_ISBN :
978-1-4577-0305-8
Type :
conf
DOI :
10.1109/ICMLC.2011.6016873
Filename :
6016873
Link To Document :
بازگشت