Robust identification of multiple-input single-output system response for efficient pickup noise removal from tokamak diagnostics
Abstract
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.
Document Details
- Document Type
- Pub Defense Publication
- Publication Date
- Oct 01, 2022
- Source ID
- 10.1063/5.0100988
Entities
People
- A. Rosenthal
- Alessandro Bortolon
- Florian M. Laggner
- Jay C. Spendlove
- Jerry Hughes
- T. M. Wilks
- Tomas Odstrcil
Organizations
- Brigham Young University
- General Atomics
- Office of Fusion Energy Sciences
- Princeton Plasma Physics Laboratory