Active microphonic noise cancellation in radiation detectors
Abstract
A new adaptive filtering technique to reduce microphonic noise in radiation detectors is presented. The technique is based on system identification that actively cancels the microphonic noise. A sensor is used to measures mechanical disturbances that cause vibration on the detector assembly, and the digital adaptive filtering estimates the impact of these disturbances on the microphonic noise. The noise then can be subtracted from the actual detector measurement. In this paper the technique is presented and simulations are used to support this approach.
- Inventors:
- Issue Date:
- Research Org.:
- Lawrence Berkeley National Laboratory (LBNL), Berkeley, CA (United States)
- Sponsoring Org.:
- USDOE
- OSTI Identifier:
- 1493614
- Patent Number(s):
- 10126443
- Application Number:
- 14/948,043
- Assignee:
- The Regents of the University of California (Oakland, CA)
- Patent Classifications (CPCs):
-
G - PHYSICS G01 - MEASURING G01H - MEASUREMENT OF MECHANICAL VIBRATIONS OR ULTRASONIC, SONIC OR INFRASONIC WAVES
G - PHYSICS G01 - MEASURING G01T - MEASUREMENT OF NUCLEAR OR X-RADIATION
- DOE Contract Number:
- AC02-05CH11231
- Resource Type:
- Patent
- Resource Relation:
- Patent File Date: 2015 Nov 20
- Country of Publication:
- United States
- Language:
- English
- Subject:
- 47 OTHER INSTRUMENTATION
Citation Formats
Zimmermann, Sergio. Active microphonic noise cancellation in radiation detectors. United States: N. p., 2018.
Web.
Zimmermann, Sergio. Active microphonic noise cancellation in radiation detectors. United States.
Zimmermann, Sergio. Tue .
"Active microphonic noise cancellation in radiation detectors". United States. https://www.osti.gov/servlets/purl/1493614.
@article{osti_1493614,
title = {Active microphonic noise cancellation in radiation detectors},
author = {Zimmermann, Sergio},
abstractNote = {A new adaptive filtering technique to reduce microphonic noise in radiation detectors is presented. The technique is based on system identification that actively cancels the microphonic noise. A sensor is used to measures mechanical disturbances that cause vibration on the detector assembly, and the digital adaptive filtering estimates the impact of these disturbances on the microphonic noise. The noise then can be subtracted from the actual detector measurement. In this paper the technique is presented and simulations are used to support this approach.},
doi = {},
journal = {},
number = ,
volume = ,
place = {United States},
year = {2018},
month = {11}
}
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