Plasma estimation: A noise cancelling application

Candy, James V.; Casper, T. A.; Kane, R.J.

doi:10.1016/0005-1098(86)90084-1

Cited by 2 publications

(8 citation statements)

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“…In many cases, the signal that is used to determine the plasma diamagnetism is so badly corrupted with coherent frequency noise (ripple) that the plasma perturbation due to diamagnetism is not even visible. Thus, extracting the signal representing plasma behaviour is extremely challenging and has received considerable attention (Simonen and Leppelmeir 1979, Kane et al 1983, Kane 1984, Candy et al 1986). …”

Section: Experimental Environmentmentioning

confidence: 99%

“…The signal pulse is sometimes completely hidden by the noise. The desired experimental data has been found to lie below 10kHz (Candy et al 1986) requiring a sampling rate of at least 20kHz to preserve the high energy spikes. Noise characteristics vary from channel-to-channel.…”

Section: Experimental Environmentmentioning

confidence: 99%

“…The procedures are designed to preserve the experimental data signal's transient pulse and energy spikes and minimize the effects of other disturbances. One successful approach (Candy et al 1986) is to use an adaptive noise cancelling technique based on the least-mean-square (LMS) algorithm (Widrow et al 1975). This conventional noise canceller assumes two inputs: a reference noise signal and the primary signal containing the desired signal plus noise.…”

Section: Experimental Environmentmentioning

confidence: 99%

“…Several off-line data processing procedures have been used to extract the desired TMX signal (Kane 1984, Candy et al 1986). The procedures are designed to preserve the experimental data signal's transient pulse and energy spikes and minimize the effects of other disturbances.…”

Section: Experimental Environmentmentioning

confidence: 99%

“…It should pass spectral peaks of noise and attenuate any signal not in the reference noise signal. In Candy et al (1986), conventional noise cancelling procedures were applied to the TMX-U data in off-line programs that used numbers of filter weights between 64 and 512. They observed very close matching of the estimated and actual noise over the entire spectrum when 512 weights were used, and very good matching at higher frequencies when 64 weights were used.…”

Section: Experimental Environmentmentioning

confidence: 99%

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A real-time adaptive line enhancer hardware implementation designed for a plasma estimation application†

Current

Wagner

Kane

et al. 1988

International Journal of Electronics

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A real-time adaptive line enhancer hardware system has been implemented for noise cancellation in a nuclear fusion instrumentation project. The noise cancellation circuitry, realized with a standard digital signal processor (DSP) chip, uses a direct form adaptive filter and adapts using the least-mean-squares (LMS) algorithm. The noise cancellation circuitry adapts the noise filter weights to the line noise prior to an experiment. Upon initiation of the experiment, the adapt ion is stopped for the duration of the experiment. Experimental data with noise cancelling may be recorded during the experiment. After the experiment, noise filter weights may be read out to be included with the experimental record for possible later evaluation. The use of these hardware systems could significantly reduce the presently enormous requirements for off-line signal processing to extract plasma information. In this paper, real-time capabilities of the line enhancer circuitry for noise cancellation are demonstrated for simple examples and for the nonstationary fusion experiment data. Performance trade-offs in terms of sampling rate and filter complexity are given.

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Section: Experimental Environmentmentioning

confidence: 99%

Section: Experimental Environmentmentioning

confidence: 99%

Section: Experimental Environmentmentioning

confidence: 99%

Section: Experimental Environmentmentioning

confidence: 99%

Section: Experimental Environmentmentioning

confidence: 99%

See 3 more Smart Citations