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作 者:张晔 吉磊[1] 熊刚[1] ZHANG Ye;JI Lei;XIONG Gang(No.30 Institute of CETC,Chengdu Sichuan 610041,China)
机构地区:[1]中国电子科技集团公司第三十研究所,四川成都610041
出 处:《通信技术》2021年第3期557-562,共6页Communications Technology
摘 要:信号参数估计识别具有重要的意义,是无线电监测系统的关键环节之一,可为接收处理提供参数依据。识别OFDM的子载波数目、频偏以及定时误差等参数,是实现正确解调的前提。针对OFDM的多种参数估计识别需求,提出了一种基于信号循环谱变换的分析思路。该方法利用循环相关性精确提取OFDM的各种特征,实现了对子载波和过采样因子估计识别的改进处理,并将OFDM信号循环前缀与时频域特征进行了高效融合分析,提高了算法的稳健性和抗噪性能,同时优化估计思路,减少运算量,有利于工程实现。最后,通过计算机仿真验证了新方法结果的有效性,且估计识别正确率高,同时性能优于传统算法。Signal parameter estimation and identification is of great significance.It is one of the key links of wireless monitoring system and can provide parameter basis for receiving and processing.In order to meet the requirements of OFDM parameter estimation and identification,an analysis method based on cyclic spectrum transform is proposed.In this method,the cyclic correlation is used to extract various features of OFDM accurately,and the improved processing is also realized in the estimation and recognition of subcarriers and oversampling factors.On the other hand,the cyclic prefix and time-frequency characteristics of OFDM signal are fused efficiently to improve the robustness and anti noise performance of the algorithm.In addition,the estimation idea is optimized to reduce the amount of computation,which is conducive to engineering implementation.Finally,the effectiveness of the new method is verified by computer simulation,and the accuracy of estimation and recognition is high,and the performance is better than some previous algorithms.
分 类 号:TN918.91[电子电信—通信与信息系统]
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