PAPR reduction using genetic algorithm in lifting-based wavelet packet modulation systems

Authors : Necmi TAŞPINAR, Yüksel Tokur BOZKURT

Pages : 184-195

View : 19 | Download : 12

Publication Date : 0000-00-00

Article Type : Research Paper

Abstract :Wavelet packet modulation insert ignore into journalissuearticles values(WPM); is a potential candidate in wireless communication systems by virtue of its flexibility and modular implementation capability. However, WPM suffers from high peak-to-average power ratio insert ignore into journalissuearticles values(PAPR);, which results in signal distortion when a high-power amplifier is employed at the transmitter. The partial transmit sequence insert ignore into journalissuearticles values(PTS); is an attractive PAPR reduction method, but its computational complexity is high. In this paper, we propose a PTS based on the genetic algorithm insert ignore into journalissuearticles values(GA); scheme insert ignore into journalissuearticles values(GA-PTS); to reduce the computational complexity of the PTS in the lifting-based WPM insert ignore into journalissuearticles values(LBWPM); systems. Simulation results show that the proposed GA-PTS scheme provides significant improvement in PAPR reduction while maintaining a low computational load. The cumulative distribution function performance of the LBWPM system is better than the performance of the classical WPM.
Keywords : Peak to average power ratio, wavelet packet modulation, partial transmit sequence, genetic algorithm