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

Creative Commons License

TAŞPINAR N., Tokur Bozkurt Y.

TURKISH JOURNAL OF ELECTRICAL ENGINEERING AND COMPUTER SCIENCES, cilt.24, sa.1, ss.184-195, 2016 (SCI-Expanded) identifier identifier

  • Yayın Türü: Makale / Tam Makale
  • Cilt numarası: 24 Sayı: 1
  • Basım Tarihi: 2016
  • Doi Numarası: 10.3906/elk-1306-236
  • Dergi Adı: TURKISH JOURNAL OF ELECTRICAL ENGINEERING AND COMPUTER SCIENCES
  • Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus, TR DİZİN (ULAKBİM)
  • Sayfa Sayıları: ss.184-195
  • Anahtar Kelimeler: 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
  • Erciyes Üniversitesi Adresli: Evet

Özet

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.