期刊论文详细信息
Journal of Computer Science
PEAK-TO-AVERAGEPOWER RATIO REDUCTION USING ACTIVE CONSTELLATION EXTENSION-PROJECTION ONTO CONVEX SETS COMBINED WITH PARTICLE SWARM OPTIMIZATION ADDED TO SPACE TIME BLOC CODING IN MULTIPLE INPUT MULTIPLE OUTPUT-ORTHOGONAL FREQUENCY DIVISION MULTIPLEXING SYSTEM | Science Publications
Younes Jabrane1  Abdelhamid Louliej1  Ahmed Ouqour1  Abdellah Ait Ouahman1  Brahim Ait Es Said1 
关键词: Peak to Average Power Ratio (PAPR);    OFDM-MIMO;    Single Input Single Output (SISO);    ACE-POCS;    Particle Swarm Optimization (PSO);    Binary Error Rate (BER);    High Power Amplifier (HPA);   
DOI  :  10.3844/jcssp.2012.2017.2024
学科分类:计算机科学(综合)
来源: Science Publications
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【 摘 要 】

When generated Orthogonal Frequency Division Multiplexing (OFDM) signal is transmitted through a number of antennas in order to achieve diversity or cap any gain (higher transmission rate) then it is known as Multiple Input Multiple Output (MIMO)-OFDM. The full form of MIMO is multi input and multi output where signals are transmitted via multiple antennas instead of only one antenna like FDM. This technique has the potential of dramatic increase of data transmission in wireless environment. However, the transmittedsignalstillhashighPeak-to-AveragePower Ratio(PAPR)becauseofOFDM characteristics. The proposal algorithm in this study describes a new technique using Active Constellation Extension-Projection Onto Convex Sets (ACE-POCS) combined with the Particle Swarm Optimization (PSO) and Space Time Bloc Coding (STBC) for PAPR reduction. Apply the ACE-POCS technique and independently on each transmitted antenna, was effective to reduce PAPR, but converges slowly. Therefore, the Particle Swarm Optimization (PSO) was introduced to fight this slowness, by searching and well reducing the PAPR. Thanks of the PSO-ACE-POCS algorithm; the transmitted sequence was selected with best PAPR reduction over all transmission antennas. The results of simulation and BER performance show that the PSO-ACE-POCS method added to STBC minimizes the PAPR with a fast convergence and low computational complexity in comparison with the ACE-POCS method applied to STBC.

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