Title :
Research of Peak-to-Average Power Ratio Reduction Improved Algorithm for MIMO-OFDM System
Author :
Yan, Xu ; Chunli, Wang ; Qi, Wang
Author_Institution :
Sch. of Electron. & Inf. Eng., Lanzhou Jiaotong Univ., Lanzhou, China
fDate :
March 31 2009-April 2 2009
Abstract :
MIMO-OFDM system has the same defect as OFDM system, that is it has a high PAPR, which means when the signal pass through the non-linear power amplifier and other devices, it would require the amplifier has a wide dynamic range, otherwise, it would have a non-linear distortion, the generated harmonics will cause interferences among the sub-channels, finally it leads the signal distorted in interactive modulation and the system performance declined. On the basis of study the existing type of PAPR reduction algorithm applying the highly complex calculation probability, this paper proposes an algorithm of partial transmit sequence with the multi-antenna cooperative working by proving the strict corresponding conjugated relationships between weight vectors on the double antennas in the partial transmit sequence algorithm. This algorithm applies the partial transmit sequence algorithm to the OFDM system which uses space-time block coding. The simulation results show the improved algorithm can effectively reduce the PAPR and the calculation, it has great practical values.
Keywords :
MIMO communication; OFDM modulation; antenna arrays; block codes; multifrequency antennas; power amplifiers; space-time codes; MIMO-OFDM system; calculation probability; interactive modulation; multiantenna cooperative; multiple-input multiple-output systems; nonlinear power amplifier; orthogonal frequency division multiplexing systems; partial transmit sequence algorithm; peak-to-average power ratio reduction algorithm; space-time block coding; Dynamic range; Harmonic distortion; High power amplifiers; Interference; OFDM; Partial transmit sequences; Peak to average power ratio; Power generation; Power system harmonics; Signal generators; MIMO-OFDM; PAPR; PTS;
Conference_Titel :
Computer Science and Information Engineering, 2009 WRI World Congress on
Conference_Location :
Los Angeles, CA
Print_ISBN :
978-0-7695-3507-4
DOI :
10.1109/CSIE.2009.71