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

作　　者：Renze Luo Rui Li Xiaoqiong Wu Shuainan Hu Na Niu 

机构地区：[1]State Key Laboratory of Oil and Gas Reservoir Geology and Exploitation Southwest Petroleum University, Chengdu, Sichuan, China [2]Zhongshan Branch China Telecom Co., Ltd., Zhongshan, Guangdong, China

出　　处：《Communications and Network》2014年第2期97-104,共8页通讯与网络（英文）

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.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.

关 键 词：Orthogonal Frequency DIVISION MULTIPLEXING (OFDM) Peak-to-Average Power Ratio (PAPR) Partial Transmit Sequences (PTS) Superimposed Training 

分 类 号：TN91[电子电信—通信与信息系统]