In order to analyze NMR relaxation data in terms of parameters which describe internal motion, one must first obtain a description of the overall tumbling of the macromolecule in solution. Methods currently used to estimate these global parameters may not always provide reliable estimates of their v
Magnetic noise compensation using FIR model parameter estimation method
✍ Scribed by Takayuki Inaba; Akihiro Shima; Masaharu Konishi; Hajime Yanagisawa; Jun-ichi Takada; Kiyomichi Araki
- Publisher
- John Wiley and Sons
- Year
- 2001
- Tongue
- English
- Weight
- 237 KB
- Volume
- 85
- Category
- Article
- ISSN
- 1042-0967
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✦ Synopsis
Abstract
For magnetic noise compensation in the field of detection (magnetic anomaly detection) of magnetic dipole targets (such as sunken ships) by magnetic sensors carried on an aircraft, a quadratic method of compensation of scalar magnetic sensors has been reported. However, in order to use a highly sensitive vector magnetic sensor such as a superconducting quantum interference device, it is necessary to obtain the scalar magnetic field (intensity of the magnetic field) accurately from the three‐axis vector field. Also, in quadratic compensation, a special flight is needed, imposing a significant burden on the platform crew members for the acquisition of data for quadratic compensation. In the present paper, an FIR (Finite Impulse Response) model parameter estimation method is proposed that allows magnetic noise compensation for a three‐axis vector magnetic sensor without a special flight. The experimental data confirm the effectiveness of the proposed FIR model parameter estimation method. © 2001 Scripta Technica, Electron Comm Jpn Pt 3, 85(3): 1–11, 2002
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