A Fine Resolution Frequency Estimator Based on Double Sub-segment Phase Difference

A Fine Resolution Frequency Estimator Based on Double Sub-segment Phase Difference

A DFT-based frequency estimator with low computational complexity is proposed, which is derived by extracting the phase difference from the peak DFT bins of two sub-segments from input samples. Some of its statistical properties, such as asymptotical unbiasedness and error variance, are derived. Fur...

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Veröffentlicht in:IEEE signal processing letters 2015-08, Vol.22 (8), p.1055-1059
Hauptverfasser: Huang, Xiangdong, Xia, Xiang-Gen
Format: Artikel
Sprache:eng
Schlagworte:
Accuracy
Asymptotic properties
Bins
Carbon monoxide
Computational complexity
Computer simulation
DFT
Discrete Fourier transforms
Estimates
Estimation
Estimators
Frequency estimation
frequency estimator
phase difference
Phase shift
Samples
Signal to noise ratio
Statistical analysis
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Zusammenfassung:A DFT-based frequency estimator with low computational complexity is proposed, which is derived by extracting the phase difference from the peak DFT bins of two sub-segments from input samples. Some of its statistical properties, such as asymptotical unbiasedness and error variance, are derived. Furthermore, an iterative procedure of frequency estimate is also presented. Simulation results show that the proposed estimator's accuracy is close to those of AM estimator and CO estimator.
ISSN:1070-9908
1558-2361
DOI:10.1109/LSP.2014.2385086