摘要
离散傅里叶变换扩频正交频分复用(DFT-S-OFDM)作为一种单载波调制方案,与传统正交频分复用相比具有较小的峰均功率比(PAPR),并且已被3GPP采用作为其长期演进项目(LTE)的上行调制方案。针对该方案,提出了一种改进的基于局部最大似然(ML)的DFT-S-OFDM检测算法,首先挑选一阶最小均方误差-最大似然(MMSE-ML)检测后最有可能的2个星座符号位置,进而在这2个位置上做最大似然检测。仿真结果表明,提出的算法相比二阶MMSE-ML,在大幅度降低计算复杂度的基础上,性能损失很小;相比一阶MMSE-ML,能获得0.5 dB^0.7 dB的增益,而所需的额外计算量较少。
As a single carrier modulation scheme,Discrete Fourier Transform Spread Orthogonal Frequency Division Multiplexing（DFT-S-OFDM） has lower Peak to Average Power Ratio（PAPR） than the conventional OFDM.And it has been adopted as the uplink modulation scheme in 3GPP＇s Long Term Evolution（LTE）.In this paper,an improved local Maximum Likelihood（ML） based method is proposed for DFT-S-OFDM detection.The two most probable symbol positions are selected after 1st order Minimum Mean Square Error-Maximum Likelihood（MMSE-ML） detection,and the ML detection is performed on these positions.Numerical simulations show that the proposed method has little performance loss and huge computation reduction compared to the 2nd order MMSE-ML.And the proposed method has a 0.5 dB-0.7 dB gain compared to the 1st order MMSE-ML with little additional computations.
出处
《信息与电子工程》
2011年第2期190-194,201,共6页
information and electronic engineering
基金
国家自然科学基金资助项目(No.60972024)
教育部博士点基金资助项目(No.20090071120087)
关键词
离散傅里叶变换扩频正交频分复用
局部最大似然检测
最小均方误差-最大似然检测
Discrete Fourier Transform Spread Orthogonal Frequency Division Multiplexing
local ML detection
Minimum Mean Square Error-Maximum Likelihood detection
