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Title: 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 Lab. (LBNL), Berkeley, CA (United States)
Sponsoring Org.:
USDOE
OSTI Identifier:
1493614
Patent Number(s):
10,126,443
Application Number:
14/948,043
Assignee:
The Regents of the University of California (Oakland, CA) LBNL
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}
}

Patent:

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