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作 者:张秀艳[1] 何润霖 ZHANG Xiuyan;HE Runlin(School of Electrical Engineering and Information,Northeast Petroleum University,Daqing 163318,china)
机构地区:[1]东北石油大学电气信息工程学院,黑龙江大庆163318
出 处:《吉林大学学报(信息科学版)》2020年第2期135-141,共7页Journal of Jilin University(Information Science Edition)
摘 要:为降低正交频分复用(OFDM:Orthogonal Frequency Division Multiplexing)信号的峰均功率比(PAPR:Peak Average Power Ratio)过高对系统产生的危害,提出将最小二乘估计方法(LS:Least Square Estimation)融合到凸集映射的星座图扩展技术中(ACE-POCS:Active Constellation Extension-Projected Onto Convex Sets),得到了一种新算法(LS-ACE-POCS:Least Square Estimation of Active Constellation Extension-Projected Onto Convex Sets)。该算法采用最小二乘估计算出一个最优因子,并将最优因子与消峰信号相乘,产生新的消峰信号,从而经过1次迭代便可与传统ACE-POCS算法10次迭代相媲美。由Matlab仿真结果可知,在相同的仿真环境下,该算法经过一次迭代比传统算法第10次迭代的PAPR低0.223 dB,并且其误码率性能稍微优异于传统算法,同时大大降低了系统的复杂度。In order to reduce the harm to the system caused by high PAPR(Peak Average Power Ratio)of OFDM(Orthogonal Frequency Division Multiplexing)signals,a new algorithm(LS-ACE-POCS)is obtained by integrating the LS(Least Square)estimation method into the traditional ACE-POCS algorithm.The least square estimation is used to calculate an optimal factor in new algorithm,then the optimal factor is multiplied by the de-peak signal,and generates a new de-peak signal,the new algorithm for one iteration can be compared with the traditional ACE-POCS algorithm for 10 iterations.The Matlab simulation results show that under the same simulation environment,the LS-ACE-POCS algorithm's ability to reduce PAPR is far superior to the traditional ACE-POCS algorithm,Specifically,the PAPR of the new algorithm after one iteration is 0.223 dB lower than that of the traditional algorithm in the tenth iteration,in terms of BER(Bit Error Rate)performance,a new algorithm of bit error rate performance slightly superior to the traditional algorithm,In terms of time complexity,the new algorithm is much better than the traditional algorithm and greatly reduces the complexity of the system.
关 键 词:正交频分复用 峰均功率比 最小二乘估计 凸集映射星座图扩展
分 类 号:TN929.5[电子电信—通信与信息系统]
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