正弦信号非平稳频率的估计算法
Estimation Algorithm Non-Stationary Frequency of the Sinusoidal Signal
摘要：
本文研究了正弦信号的变频识别问题。为了获得信号的回归模型，执行原始解析表达式的迭代微分，并且应用交换引理。非平稳频率的参数估计是使用动态扩展的回归和混合（DREM）过程和Luenberger观测器。数值仿真的结果表明，该算法是有效的，表明频率估计的收敛到真值。
英文摘要：
The article considers the problem of identifying the variable frequency of a sinusoidal signal. To obtain a regression model of the signal, an iterative differentiation of the original analytical expression is performed, and the swapping lemma is applied. The estimation of the parameters of the non-stationary frequency is implemented using the dynamic expansion of the regressor and mixing (DREM) procedure and the Luenberger observer. As a result of the numerical simulation, the efficiency of the proposed algorithm is demonstrated, showing the convergence of the frequency estimate to the true value.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
