Title :
Peak-to-average power ratio reduction in multi-carrier system using genetic algorithms
Author :
Lixia, M. ; Murroni, Maurizio
Author_Institution :
Dept. of Electr. & Electron. Eng., Univ. of Cagliari, Cagliari, Italy
fDate :
6/1/2011 12:00:00 AM
Abstract :
This work presents a novel approach to the reduction of peak-to-average power ratio (PAPR) in multi-carrier modulation: partial transmit sequence (PTS) is optimised by opportune tailored genetic algorithms (GA) that allow achieving solution with pre-selected accuracy and reduced computational burden. A comparative study on both orthogonal frequency division multiplexing (OFDM) and wavelet packets multi-carrier modulation (WP-MCM) has been conducted. Results show that although WP-MCM outperforms conventional OFDM schemes in terms of PAPR, GA applied to PTS are more effective in reducing PAPR for OFDM rather than for WP-MCM.
Keywords :
OFDM modulation; genetic algorithms; wavelet transforms; OFDM; WP-MCM; genetic algorithms; multicarrier system; orthogonal frequency division multiplexing; partial transmit sequence; peak-to-average power ratio reduction; wavelet packets multicarrier modulation;
Journal_Title :
Signal Processing, IET
DOI :
10.1049/iet-spr.2010.0027