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A low complex peak-to-average power ratio reduction in orthogonal frequency division multiplexing systems using a two-dimensional interleaving strategy

机译:使用二维交织策略的正交频分复用系统中的低复杂峰平均功率比减少

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摘要

One of the effective peak-to-average power ratio (PAPR) reduction methods in orthogonal frequency division multiplexing (OFDM) systems is the partial transmit sequence (PTS) method in which the input data stream is divided into disjoint subblocks and the subcarriers in each subblock multiplied by predefined phase factors. Consecutive data symbols corresponding to a source/user are often more correlated, so when the corresponding subcarriers are weighted by the same phase factor, a sufficient reduction in PAPR cannot be attained by the PTS algorithm in common subblocks. To solve this problem, in this paper, we propose a new systematic PAPR reduction method based on a two-dimensional subcarrier mapping. Specifically, we scramble/interleave each OFDM symbol based on T-transform to obtain a new set of subblocks which will be multiplied by predefined phase factors. In the proposed method, each one-dimensional symbol sequence is converted to a two-dimensional matrix, and the partitions are formed starting from the main diagonal diameters in the matrix. We present the permutation matrix and reformulate the T-transform technique based on the permutation matrix. Through numerical experimentations, it is shown that the proposed PAPR reduction technique outperforms the previous counterparts. Also, we analyzed our proposed results by aperiodic autocorrelation function (ACF); reducing of ACF side lobes shows that our proposed method cause considerable PAPR parameter reduction respected to other methods.
机译:正交频分复用(OFDM)系统中的有效峰平均功率比(PAPR)减少方法是部分发送序列(PTS)方法,其中输入数据流被分成脱编子块和每个子载波子块乘以预定义的相位因子。与源/用户相对应的连续数据符号通常更相关,因此当相应的子载波被相同的相位因子加权时,PTS算法在公共子块中不能获得足够的PAPR减少。为了解决这个问题,在本文中,我们提出了一种基于二维子载波映射的新系统PAPR减少方法。具体地,我们基于T变换来扰乱/交错每个OFDM符号,以获得将乘以预定义的阶段因子的新组子块。在该方法中,每个一维符号序列被转换为二维矩阵,并且从矩阵中的主对角线直径开始形成分区。我们介绍了置换矩阵并基于置换矩阵重新格式化T变换技术。通过数值实验,表明所提出的PAPR还原技术优于前一个同行。此外,我们通过非周期性自相关函数(ACF)分析了我们提出的结果;减少ACF侧瓣表明,我们的提出方法造成符合其他方法的相当大的PAPR参数减少。

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