基于最大似然估计降低OFDM系统峰均功率比的子载波预留算法

发布时间：2018-04-18 23:00

本文选题：峰均功率比(PAPR) + 子载波预留(TR)　；参考：《高技术通讯》2014年04期

【摘要】：为降低正交频分复用(OFDM)系统的峰均功率比(PAPR),研究了传统的限幅一子载波预留(clipping-TR)算法收敛速度过慢的问题,在此基础上提出了一种基于最大似然估计(MLE)的子载波预留(TR)算法,即MLE-TR算法。该算法充分利用限幅操作产生的限幅噪声来生成TR算法所使用的峰值抵消信号,通过MLE算法来获得最佳优化因子以使峰值抵消信号幅值逼近限幅噪声,因而能在快速收敛的情况下获得较好的降低PA.PR的性能。仿真表明,最多采用2次迭代,MLE-TR算法所获得的性能就能与clippingTR算法经过6次迭代之后才能获得的PAPR降低的性能相当。且经过仿真可知,该算法也具有较好的BER性能。
[Abstract]:In order to reduce the peak-to-average power ratio (PAPR) of OFDM (orthogonal Frequency Division Multiplexing) system, the problem of slow convergence of the traditional clipping-TRG algorithm is studied. Based on this, a subcarrier reservation (TRT) algorithm based on maximum likelihood estimation (MLE) is proposed.That is, MLE-TR algorithm.The algorithm makes full use of the limiting noise generated by the limiting operation to generate the peak cancellation signal used by the tr algorithm. The optimal optimization factor is obtained by the MLE algorithm to make the amplitude of the peak offset signal approach the limiting noise.Therefore, the performance of PA.PR can be reduced better under the condition of fast convergence.Simulation results show that the performance of MLE-TR algorithm with two iterations at most is comparable to that of PAPR degradation obtained by clippingTR algorithm after six iterations.The simulation results show that the algorithm also has good BER performance.
【作者单位】：北京交通大学电子信息工程学院;华北电力大学电气与电子工程学院;
【基金】：国家科技支撑计划(2013BAK06B03) 国家自然科学基金(51274018,61302106)资助项目
【分类号】：TN919.3

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