Abstract:The accuracy of three dimensional electric field measurement is greatly influenced by the coupling interference between components of Three Dimension (3D) electric field applied to the electric field sensor. In order to reduce the coupling interference and to realize accurate measurements, a decoupling calibration method based on Genetic Algorithm (GA) of 3D electric field sensor is proposed. Different from the traditional calibration method based on the matrix inversion technology, GA is utilized to obtain the optimal decoupling calibration matrix by setting the objective function and evolution operators, which avoids the calculation errors in the complex matrix inversion. A calibration apparatus, which can make an arbitrary angle between the sensor and the electric field, is designed, and a calculation model of theoretical electric field values is built. Experiments are conducted to verify the decoupling calibration methods based on the matrix inversion technology and GA. The experimental results show that the proposed method can effectively eliminate coupling interferences, improve the calibration precision and realize accurate measurements.
李冰,彭春荣,凌必赟,郑凤杰,陈博,夏善红. 基于遗传算法的三维电场传感器解耦标定方法研究[J]. 电子与信息学报, 2017, 39(9): 2252-2258.
LI Bing, PENG Chunrong, LING Biyun, ZHENG Fengjie,CHEN Bo, XIA Shanhong. The Decoupling Calibration Method Based on Genetic Algorithm of Three Dimensional Electric Field Sensor. JEIT, 2017, 39(9): 2252-2258.
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