改进的DFT正弦信号频率估计

发布时间：2018-06-19 07:38

  本文选题：频率估计 + Candan算法　； 参考：《信号处理》2014年09期

【摘要】：通过分析Candan算法和2N点DFT算法的性能,本文提出了一种改进的基于DFT的正弦信号频率估计算法。在对原始信号进行必要的离散化预处理后,在粗估计阶段利用Candan算法估计出频率偏差,利用该频偏对原始信号进行频率修正。然后对修正后的原始信号进行2N点DFT算法精估计。由于增加了对原始信号的频率修正步骤,该算法发挥了Candan算法和2N点DFT算法的优点,同时增加了算法的复杂度。仿真结果表明,在相对频偏为任意值时,改进算法频率估计的均方根误差均接近克拉美罗下限,并且估计性能优于现有的频率估计算法。
[Abstract]:By analyzing the performance of Candan algorithm and 2N point DFT algorithm, an improved algorithm for frequency estimation of sinusoidal signals based on DFT is presented in this paper. After the necessary discretization preprocessing of the original signal, the Candan algorithm is used to estimate the frequency deviation in the rough estimation stage, and the frequency offset is used to correct the frequency of the original signal. Then the modified original signal is estimated by 2N point DFT algorithm. Due to the addition of frequency correction steps to the original signal, the algorithm not only takes advantage of Candan algorithm and 2N point DFT algorithm, but also increases the complexity of the algorithm. Simulation results show that the root mean square error of the improved algorithm is close to the lower bound of Clemero when the relative frequency offset is arbitrary and the estimation performance is better than the existing frequency estimation algorithm.
【作者单位】： 南京邮电大学通信与信息工程学院;
【基金】：国家自然科学基金(61372123;61302103;61372122) 南京邮电大学科研基金(NY213002)
【分类号】：TN911.23
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本文编号：2039125