本文選題：頻率估計 + Candan算法��； 參考：《信號處理》2014年09期

【摘要】：通過分析Candan算法和2N點DFT算法的性能,本文提出了一種改進的基于DFT的正弦信號頻率估計算法。在對原始信號進行必要的離散化預處理后,在粗估計階段利用Candan算法估計出頻率偏差,利用該頻偏對原始信號進行頻率修正。然后對修正后的原始信號進行2N點DFT算法精估計。由于增加了對原始信號的頻率修正步驟,該算法發(fā)揮了Candan算法和2N點DFT算法的優(yōu)點,同時增加了算法的復雜度。仿真結果表明,在相對頻偏為任意值時,改進算法頻率估計的均方根誤差均接近克拉美羅下限,并且估計性能優(yōu)于現有的頻率估計算法。
[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.
【作者單位】： 南京郵電大學通信與信息工程學院;
【基金】：國家自然科學基金(61372123;61302103;61372122) 南京郵電大學科研基金(NY213002)
【分類號】：TN911.23
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本文編號：2039125