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A real-time algorithm for the harmonic estimation and frequency tracking of dominant components in fusion plasma magnetic diagnostics
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10.1063/1.4818967
/content/aip/journal/rsi/84/8/10.1063/1.4818967
http://aip.metastore.ingenta.com/content/aip/journal/rsi/84/8/10.1063/1.4818967
View: Figures

Figures

Image of FIG. 1.
FIG. 1.

Top plot: raw signal spectrogram; 2nd plot: estimated frequency; Bottom plot: estimated amplitude. Blue: EKFFT; Green: rEKFFT; Red: UKFFT; Cyan: DFT.

Image of FIG. 2.
FIG. 2.

JET pulse 68628 – Top plot: raw signal spectrogram (log scale); 2nd plot: estimated frequency; 3rd plot: normalized frequency estimation error; 4th plot: estimated amplitude; 5th plot: normalized amplitude estimation error; Bottom plot: 10 ms averaged residue. Blue: EKFFT; Green: rEKFFT; Red: UKFFT; Black: DFT.

Image of FIG. 3.
FIG. 3.

JET pulse 68628 – Normalized amplitude inter-frequency contamination of the estimated signal – Top plot: EKFFT; Middle plot: rEKFFT; Bottom plot: UKFFT.

Image of FIG. 4.
FIG. 4.

JET pulse 68628 – Adaptive estimation – Top plot: raw signal spectrogram (log scale); 2nd plot: estimated frequency; 3rd plot: normalized frequency estimation error; 4th plot: estimated amplitude; 5th plot: normalized amplitude estimation error; Bottom plot: 10 ms averaged residue. Blue: EKFFT; Green: rEKFFT; Red: UKFFT; Black: DFT.

Image of FIG. 5.
FIG. 5.

JET pulse 68628 – Adaptive estimation – Normalized amplitude inter-frequency contamination of the estimated signal – Top plot: EKFFT; Middle plot: rEKFFT; Bottom plot: UKFFT.

Image of FIG. 6.
FIG. 6.

JET pulse 67694 – Adaptive estimation – Top plot: raw signal spectrogram (log scale); 2nd plot: estimated frequency; 3rd plot: normalized frequency estimation error; 4th plot: estimated amplitude; 5th plot: normalized amplitude estimation error; Bottom plot: 10 ms averaged residue. Blue: EKFFT; Green: rEKFFT; Red: UKFFT; Black: DFT.

Image of FIG. 7.
FIG. 7.

JET pulse 67694 – Adaptive estimation – Normalized amplitude inter-frequency contamination of the estimated signal – Top plot: EKFFT; Middle plot: rEKFFT; Bottom plot: UKFFT.

Image of FIG. 8.
FIG. 8.

JET pulse 79743 – Adaptive estimation – Top plot: raw signal spectrogram (log scale); 2nd plot: estimated frequency; 3rd plot: normalized frequency estimation error; 4th plot: estimated amplitude; 5th plot: normalized amplitude estimation error; Bottom plot: 10 ms averaged residue. Blue: EKFFT; Green: rEKFFT; Red: UKFFT; Black: DFT.

Image of FIG. 9.
FIG. 9.

JET pulse 79743 – Adaptive estimation – Normalized amplitude inter-frequency contamination of the estimated signal – Top plot: EKFFT; Middle plot: rEKFFT; Bottom plot: UKFFT.

Image of FIG. 10.
FIG. 10.

JET pulse 68628 – Three tone adaptive EKFFT – Top plot: raw signal spectrogram (log scale); 2nd plot: estimated frequencies; 3rd plot: amplitude of tone (a); 4th plot: amplitude of tone (b); 5th plot: amplitude of tone (c); Bottom plot: residues. Red: tone (a) estimate; Green: tone (b) estimate; Blue: tone (c) estimate; Black: DFT.

Image of FIG. 11.
FIG. 11.

JET pulse 68628 – Three tone adaptive rEKFFT – Top plot: raw signal spectrogram (log scale); 2nd plot: estimated frequencies; 3rd plot: amplitude of tone (a); 4th plot: amplitude of tone (b); 5th plot: amplitude of tone (c); Bottom plot: residues. Red: tone (a) estimate; Green: tone (b) estimate; Blue: tone (c) estimate; Black: DFT.

Image of FIG. 12.
FIG. 12.

JET pulse 68628 – Three tone adaptive UKFFT – Top plot: raw signal spectrogram (log scale); 2nd plot: estimated frequencies; 3rd plot: amplitude of tone (a); 4th plot: amplitude of tone (b); 5th plot: amplitude of tone (c); Bottom plot: residues. Red: tone (a) estimate; Green: tone (b) estimate; Blue: tone (c) estimate; Black: DFT.

Image of FIG. 13.
FIG. 13.

JET pulse 68558 – Three tone adaptive EKFFT – Top plot: raw signal spectrogram (log scale); 2nd plot: estimated frequencies; 3rd plot: amplitude of tone (a); 4th plot: amplitude of tone (b); 5th plot: amplitude of tone (c); Bottom plot: residues. Red: tone (a) estimate; Green: tone (b) estimate; Blue: tone (c) estimate; Black: DFT.

Image of FIG. 14.
FIG. 14.

JET pulse 68558 – Three tone adaptive rEKFFT – Top plot: raw signal spectrogram (log scale); 2nd plot: estimated frequencies; 3rd plot: amplitude of tone (a); 4th plot: amplitude of tone (b); 5th plot: amplitude of tone (c); Bottom plot: residues. Red: tone (a) estimate; Green: tone (b) estimate; Blue: tone (c) estimate; Black: DFT.

Image of FIG. 15.
FIG. 15.

JET pulse 68558 – Three tone adaptive UKFFT – Top plot: raw signal spectrogram (log scale); 2nd plot: estimated frequencies; 3rd plot: amplitude of tone (a); 4th plot: amplitude of tone (b); 5th plot: amplitude of tone (c); Bottom plot: residues. Red: tone (a) estimate; Green: tone (b) estimate; Blue: tone (c) estimate; Black: DFT.

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/content/aip/journal/rsi/84/8/10.1063/1.4818967
2013-08-22
2014-04-18
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752b84549af89a08dbdd7fdb8b9568b5 journal.articlezxybnytfddd
Scitation: A real-time algorithm for the harmonic estimation and frequency tracking of dominant components in fusion plasma magnetic diagnostics
http://aip.metastore.ingenta.com/content/aip/journal/rsi/84/8/10.1063/1.4818967
10.1063/1.4818967
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