一种基于功率谱的多载波信号频率、带宽提取算法

One multi-carrier central frequency and bandwidth extraction algorithm based on power spectrum

随着电子通信技术和计算机信息技术的迅猛发展,各种自动化监测技术不断涌现,新型的准实时/实时频谱自动监测技术在卫星系统中得到应用,以提升卫星通信系统的状态分析能力和监测效率。在卫通信号频谱监测领域,频率、带宽的估算是其他特征参数估计的基础,为了快速识别卫通信号多个载波的频率和带宽信息,提出了一种基于信号功率谱图的盲估计方法。该方法利用信号功率谱图曲率及特定的修正方法确定载波左右边界,从而将载波分离出来。文章对该估计方法进行了仿真验证,结果表明,该方法与传统的估计算法相比,频率估计精度高,NMSE在10^(-3)以内,且该算法在固定采样率与分辨率条件下耗时受载波个数影响很小,特别适用具有多种调制类型和码率的多载波应用场景。

With the rapid development of electronic communication technology and computer information technology,various automatic monitoring technologies are emerging,and new quasi-real-time/real-time spectrum automatic monitoring technologies are continuously applied to satellite communication systems to improve the state analysis capability and monitoring efficiency of satellite communication systems.In the field of spectrum monitoring of satellite communication signals,the estimation of frequency and bandwidth is the basis of other characteristic parameters,in order to quickly identify the frequency information of multiple carriers,this paper proposes a blind estimation algorithm based on the power spectrum curvature of signal,according to a specific correction method to determine the left and right boundaries of carriers and separate the carriers,and the algorithm is verified by simulation.The result shows that,compared with the traditional estimation algorithm,the proposed method has high accuracy in frequency estimation,NMSE is within 10^(-3),and the time-consuming of the algorithm is less affected by the number of carriers under the condition of fixed sampling rate and resolution,which is especially suitable for multi carrier application scenarios with different modulation and different symbol rate.