High-accuracy Frequency Estimation of Sinusoid based on DFT and DTFT

Song, Huanhuan; Bai, Yuchan; Wu, Huihao; Liu, Jinyu; Fan, Lei; Jin, Jiyu

doi:10.23919/ccc55666.2022.9902813

Cited by 1 publication

(1 citation statement)

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“…Adaptive method-based frequency estimation can be found in many areas of digital signal processing applications [1,2], such as Doppler efect estimation of radar and sonar systems [3][4][5], clock and carrier synchronization in communication systems, angle of arrival estimation in smart antenna systems, frequency estimation in global navigation satellite systems (GNSS) [6], angle and frequency estimation in cognitive wireless systems [7][8][9], and so on. Depending on the statistical properties of the input signal frequency, say, deterministic or random, the frequency estimation can be classifed into two categories: block-based and sequentialbased estimation techniques.…”

Section: Introductionmentioning

confidence: 99%

Phase Error Criterion Based Adaptive Algorithm for Frequency Estimation

Inban,

Punchalard,

Benjangkaprasert

2024

International Journal of Antennas and Propagation

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A simple phase error criterion (PEC-)-based adaptive algorithm for estimating the frequency of a complex sinusoidal signal in additive white Gaussian and impulsive noises is proposed. The proposed technique makes use of the instantaneous phase response of a first-order complex linear predictor (CLP) as a driving function to update the frequency parameter of the CLP. The proposed PEC is attractive due to its simplicity and high impulsive noise robustness. Theoretical analysis for the mean value of the estimated frequency and the steady-state mean square error (MSE) of the frequency estimate are derived in closed forms. Computer simulations are drawn to show the performance of the proposed frequency estimator.

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