| 摘要: |
| 针对正交频分复用系统中的信号峰值平均功率比问题，提出了一种基于时域采样点幅度筛选的低复杂度部分传输序列算法。算法通过设置信号经过逆向傅里叶变换后时域采样点的幅度之和为判别函数，并设置适当的幅度门限，筛选出幅度大于门限的信号采样点集合，利用该集合来搜索信号峰均比抑制相位因子，从而降低算法复杂度。仿真表明，与传统峰均比抑制算法相比，改进算法在保持峰均比抑制性能的同时降低了算法复杂度。 |
| 关键词: 正交频分复用 峰值平均功率比抑制 翻转部分传输序列 搜索算法 |
| DOI： |
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| 基金项目: |
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| An improved low complexity PAPR suppression algorithm for OFDM systems based on PTS |
| AN Ming,ZHU Xiaosong |
| (School of Electronic Countermeasure,National University of Defense Technology,Hefei 230037,China) |
| Abstract: |
| To solve the peak-to-average power ratio(PAPR) problem in orthogonal frequency division multiplexing(OFDM) systems,an improved low complexity partial transmission sequence algorithm based on time domain sample point amplitude selection is proposed.First,the amplitude sum of time domain sampling point after inverse fast Fourier transform is set as the discriminant function,and the appropriate amplitude threshold is set to obtain the set of signal sampling points whose amplitude sum is larger than the threshold.This set is used to search for PAPR suppression phase factor,thus reducing the complexity of the algorithm.Simulations show that compared with that of the traditional peak-to-average ratio suppression algorithm,the complexity of the improved low complexity PTS algorithm is reduced while the peak-to-average ratio suppression performance is kept. |
| Key words: orthogonal frequency division multiplexing(OFDM) peak-to-average power ratio(PAPR) suppression reverse partial transmission sequence search algorithm |
