Analysis and optimization of non-sequential IPTS

  • Authors:

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

  • 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

Partial transmit sequence approach (PTS) is one of high-performance PAPR reduction techniques for multi-carrier communication systems. However, it has very high computational complexity. This paper presents non-sequential iterative PTS (NS-IPTS) which, instead of adjusting phase factors in sequence, analyzes the influence of the number of the detected peaks on PAPR reduction performance and on complexity, and then obtain the optimal parameter to achieve better PAPR reduction performance and lower complexity. Simulation results show that the PAPR reduction performance of optimized NS-IPTS is 0.38dB and 0.78dB better than ordinary iterative PTS (IPTS) and the complexity of NS-IPTS is 10% and 20% lower than IPTS, when the probability is 10-4, and V=16 and 32.