A PTS Optimization Scheme with Superimposed Training for PAPR Reduction in OFDM System

• 作者: Na Niu Renze Luo Rui Li Shuainan Hu Xiaoqiong Wu
• 来源期刊: 通讯与网络(英文)
• 学科: 工学
• 关键词: Orthogonal Frequency Division MULTIPLEXING (OFDM) Peak-to-Average Power Ratio (PAPR) Partial Transmit SEQUENCES (PTS) Superimposed Training
• 年，卷（期）: 2014,（2）
• 页码范围: 97-104
• 页数: 8页
• 分类号: TN91

摘要

Partial Transmit Sequences (PTS) is an efficient scheme for Peak-to-Average Power Ratio (PAPR) reduction in Orthogonal Frequency Division Multiplexing (OFDM) system. It does not bring any signal distortion. However, its remarkable drawback is the high computational complexity. In order to reduce the computational complexity, currently many PTS methods have been proposed but with the cost of the loss of PAPR performance of the system. In this paper, we introduce an improved PTS optimization method with superimposed training. Simulation results show that, compared with conventional PTS, improved PTS scheme can achieve better PAPR performance while be implemented with lower computation complexity of the system.