Neural network and antenna model application on pulse magnetic field measurement

Author

Li, Yanxin ; Shi, Lihua ; Gao, Cheng ; Lu, Feng ; Su, Liyuan

Author_Institution

Eng. Inst. of Crops of Eng., PLA Univ. of Sci. & Technol., Nanjing, China

fYear

2011

fDate

15-17 July 2011

Firstpage

4180

Lastpage

4183

Abstract

Introduces a pulse magnetic field measurement system which is used in strong electromagnetic environment. A small loop antenna is used as pulse magnetic field sensor and a wide band analog fiber transmission device is used to transmit the signal. The system uses BP neural network to calibrate the nonlinearity of the fiber transmission device and uses the model of the antenna to recover the pulse magnetic field. Using Matlab function to realize the system method can simplify the program. An experiment result shows that the system is suitable for measuring wide band pulse magnetic field.

Keywords

backpropagation; calibration; computerised instrumentation; electrical engineering computing; fibre optic sensors; loop antennas; magnetic field measurement; magnetic sensors; mathematics computing; neural nets; pulse measurement; BP neural network; Matlab function; antenna model application; electromagnetic environment; fiber transmission device nonlinearity calibration; loop antenna; pulse magnetic field measurement system; pulse magnetic field sensor; wide band analog fiber optic transmission device; Fiber lasers; Magnetic field measurement; Magnetic fields; Measurement by laser beam; Optical fiber networks; Particle beam measurements; Particle beams; antenna model; fiber optic transmission device; neural network; pulse magnetic field;

fLanguage

English

Publisher

ieee

Conference_Titel

Mechanic Automation and Control Engineering (MACE), 2011 Second International Conference on

Conference_Location

Hohhot

Print_ISBN

978-1-4244-9436-1

Type

conf

DOI

10.1109/MACE.2011.5987925

Filename

5987925