一种低信噪比条件下的码元速率估计算法  

A symbol rate estimation algorithm under low signal-to-noise ratio

作　　者：王勤民 赵津津[2] 董丽元 李明媚 WANG Qinmin;ZHAO Jinjin;DONG Liyuan;LI Mingmei(School of Information and Intelligence Engineering,Tianjin Ren'ai College,Tianjin 301636,China;Power Engineering Department,Zhengzhou Electric Power College,Zhengzhou Henan 450001,China)

机构地区：[1]天津仁爱学院智能与信息工程学院,天津301636 [2]郑州电力高等专科学校能源与动力工程学院,河南郑州450001

出　　处：《太赫兹科学与电子信息学报》2024年第11期1283-1288,共6页Journal of Terahertz Science and Electronic Information Technology

基　　金：国家自然科学基金资助项目(61871405);博士创新基金资助项目(3004/080401)。

摘　　要：针对非协作通信中的码元速率估计问题,提出了基于经验模态分解的码元速率估计算法。算法通过对信号的瞬时幅度做低阶的经验模态分解(EMD),找到包含码元速率信息的本征模态分量;再通过谱线检测得到码元速率的估计。该算法可以通过频率的分离有效降低干扰对估计性能的影响,提高估计精确度。仿真结果表明,该算法可在低信噪比条件下,直接从频带信号中获得对码元速率的估计。For the problem of symbol rate estimation in non-cooperative communication,an algorithm based on empirical mode decomposition for symbol rate estimation is proposed.The algorithm performs a low-order Empirical Mode Decomposition(EMD)on the instantaneous amplitude of the signal to find the intrinsic mode components that contain information about the symbol rate;then,it estimates the symbol rate through spectral line detection.This algorithm can effectively reduce the impact of interference on estimation performance by separating frequencies,thereby improving estimation accuracy.Simulation results show that the algorithm can obtain an estimate of the symbol rate directly from the frequency band signal under low signal-to-noise ratio conditions.

关 键 词：参数估计 经验模态分解(EMD) 谱线检测 

分 类 号：TP971[自动化与计算机技术]