Published November 2010 | Version v1
Book Metadata-only

Kalman filter application in auto spectrum stabilization in airborne spectroscopy investigation

Creators

  • 1. Chengdu Univ. of Technology, Chengdu (China)
  • 2. China Aerogeophysical Survey and Remote Sensing Center for Land and Resources, Beijing (China)
  • 3. Airborne Survey and Remote Sensing Center of Nuclear Industry, Shijiazhuang (China)

Description

Considered airborne spectrum's characteristic of low counter rate, high statistics fluctuation when measured in short time period, kalman filter algorithm was adopted to smooth the noise within the airborne spectrum. Compared the effect of several normal used smooth methods with kalman filter method, and finally decided to use this method smooth spectrum, then search the peak position to realize auto spectrum stabilization in airborne spectrum. The result is spectrum drift less than ±1 channel when resolution is 1 024 channels. (authors)

Part of:
Progress report on nuclear science and technology in China (Vol.1). Proceedings of academic annual meeting of China Nuclear Society in 2009, No.7--nuclear electronics

Additional details

Publishing Information

Publisher
Atomic Energy Press
Imprint Place
Beijing (China)
ISBN
978-7-5022-5040-9
Imprint Title
Progress report on nuclear science and technology in China (Vol.1). Proceedings of academic annual meeting of China Nuclear Society in 2009, No.7--nuclear electronics
Imprint Pagination
276 p.
Journal Page Range
p. 133-137

Conference

Title
academic annual meeting of China Nuclear Society
Acronym
'09
Dates
18-20 Nov 2009
Place
Beijing (China)

INIS

Country of Publication
China
Country of Input or Organization
China
INIS RN
44032719
Subject category
S46: INSTRUMENTATION RELATED TO NUCLEAR SCIENCE AND TECHNOLOGY;
Resource subtype / Literary indicator
Conference
Descriptors DEI
AERIAL SURVEYING; ALGORITHMS; FILTERS; FLUCTUATIONS; GAMMA SPECTROSCOPY; NOISE; PEAKS; RESOLUTION; SPECTRA; STABILIZATION; STATISTICS
Descriptors DEC
MATHEMATICAL LOGIC; MATHEMATICS; SPECTROSCOPY; VARIATIONS

Optional Information

Notes
8 figs., 5 refs.