A novel PAPR reduction technique by sampling partial transmit sequences

  • Authors:

  • Yuzhong Jiao;Xin'an Wang;Ying Xu;Xuejiao Liu;Xuewen Ni

  • Affiliations:

  • Key Lab of Integrated Microsystem Science & Engineering Applications, Shenzhen Graduate School of Peking University, Xili, Shenzhen, P. R. China;Key Lab of Integrated Microsystem Science & Engineering Applications, Shenzhen Graduate School of Peking University, Xili, Shenzhen, P. R. China;Key Lab of Integrated Microsystem Science & Engineering Applications, Shenzhen Graduate School of Peking University, Xili, Shenzhen, P. R. China;Key Lab of Integrated Microsystem Science & Engineering Applications, Shenzhen Graduate School of Peking University, Xili, Shenzhen, P. R. China;Key Lab of Integrated Microsystem Science & Engineering Applications, Shenzhen Graduate School of Peking University, Xili, Shenzhen, P. R. China

  • Venue:
  • WiCOM'09 Proceedings of the 5th International Conference on Wireless communications, networking and mobile computing
  • Year:
  • 2009

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Abstract

Optimum partial transmit sequence method (OPTS), as one of the highest-performance PAPR reduction techniques, has very high computational complexity. Most sub-optimal schemes which are based on iterative PTS (IPTS), aim at balancing PAPR reduction performance and complexity by expanding the searching space of phase factor sequence with more iterative operations. A novel scheme is presented to further lower the complexity of PTS. This scheme samples every partial transmit sequence, obtains some peak-position samples with the largest magnitudes and then constructs PTS sampling sequence. A proper phase factor sequence can be got through processing PTS sampling sequences according to the principle of OPTS or sub-optimal PTS. Because PTS sampling sequences have fewer samples, the new method can achieve a low complexity. Besides, simulation results show that the new scheme has good PAPR reduction performance.