Robust identification of multiple-input single-output system response for efficient pickup noise removal from tokamak diagnostics
Electromagnetic pickup noise in the tokamak environment imposes an imminent challenge for measuring weak diagnostic photocurrents in the nA range. The diagnostic signal can be contaminated by an unknown mixture of crosstalk signals from coils powered by currents in the kA range. To address this issu...
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Veröffentlicht in: | Review of scientific instruments 2022-10, Vol.93 (10), p.103503-103503 |
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Format: | Artikel |
Sprache: | eng |
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Zusammenfassung: | Electromagnetic pickup noise in the tokamak environment imposes an imminent
challenge for measuring weak diagnostic photocurrents in the nA range. The
diagnostic signal can be contaminated by an unknown mixture of crosstalk signals
from coils powered by currents in the kA range. To address this issue, an
algorithm for robust identification of linear multi-input single-output (MISO)
systems has been developed. The MISO model describes the dynamic relationship
between measured signals from power sources and observed signals in the
diagnostic and allows for a precise subtraction of the noise component. The
proposed method was tested on experimental diagnostic data from the DIII-D
tokamak, and it has reduced noise by up to 20 dB in the 1–20 kHz
range. |
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ISSN: | 0034-6748 1089-7623 |
DOI: | 10.1063/5.0100988 |