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


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TAŞPINAR N. , Tokur Bozkurt Y.

TURKISH JOURNAL OF ELECTRICAL ENGINEERING AND COMPUTER SCIENCES, vol.24, no.1, pp.184-195, 2016 (Journal Indexed in SCI) identifier identifier

  • Publication Type: Article / Article
  • Volume: 24 Issue: 1
  • Publication Date: 2016
  • Doi Number: 10.3906/elk-1306-236
  • Title of Journal : TURKISH JOURNAL OF ELECTRICAL ENGINEERING AND COMPUTER SCIENCES
  • Page Numbers: pp.184-195
  • Keywords: Peak-to-average power ratio, wavelet packet modulation, partial transmit sequence, genetic algorithm, AVERAGE POWER RATIO, OPTIMAL PEAK REDUCTION, TONE SET SELECTION, OFDM SIGNALS, TRANSMISSION, OPTIMIZATION, SCHEME

Abstract

Wavelet packet modulation (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 (PAPR), which results in signal distortion when a high-power amplifier is employed at the transmitter. The partial transmit sequence (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 (GA) scheme (GA-PTS) to reduce the computational complexity of the PTS in the lifting-based WPM (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.