一种基于多段降频等长信号融合的频率估计方法

Frequency Estimation Based on Fusion of Multi-section Signals with the Same Length and Known Frequency-shift

  • 摘要: 为了提高多段采样信号频率估计的精度和扩展已有方法的适用范围,本文提出一种多段降频等长信号融合方法.该方法采用频域分析参数矩阵、相位差补偿因子矩阵、搜索频率序列等措施,以解决各段信号之间被测频率不等、相位不连续等问题.给出了四项性质作为所提方法有效性的数学证明,并针对多种应用环境状态进行了仿真实验.结果表明,本文方法普遍适用于多段降频等长信号,抗噪性好,频率估计精度比现有方法有较大提高.

     

    Abstract: In order to increase precision of frequency estimation for multi-section sampled signals and extend applicable range of the existing methods,a fusion method of multi-section signals with the same length and known frequency-shift is proposed.In the algorithm,some techniques such as parameter matrix for frequency-domain analysis,phase-difference compensating factor matrix and search frequency array are provided to solve such problems as unequal measured fre-quencies and phase discontinuity among different section signals.Four properties are given as mathematical justification of the proposed method.Simulated experiments with different application environment parameters are carried out.The results show that the presented algorithm is suitable for various types of multi-section signals with the same length and known frequency-shift,and with good noise immunity,its precision of frequency estimation is much higher than that of the existing methods.

     

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