Flatness Optimization Method for Broadband Electric Field Sensor Based on Data Fusion Mechanism

Abstract

A data fusion mechanism based flatness optimization method of a broadband electric field sensor comprises the following steps that multiple measuring frequency points are arranged in the measuring frequency range of the electric field sensor, test data, in the measuring frequency points, of different induction antennas of the electric field sensor is obtained, and light intensity measuring valuesof the induction antennas in the measuring frequency points are calculated; a characteristic determining value of each induction antenna of the electric sensor in the measuring frequency points is calculated according to the light intensity measuring value of the induction antenna in each measuring frequency point, and characteristic of the electric field sensor is extracted and identified; and field intensity data of the whole measuring frequency range is fused according to the characteristic values of the electric field sensor in different measuring frequency points, and a fused field intensity of the electric sensor is calculated. On the basis of data fusion technology, decision fusion is carried out on different paths of measurement data of the induction antennas of the electric field,advantages of the induction antennas are combined, the problem that a single group of sensing antennas has defect in local frequency range, and the probe flatness is thus optimized.

Description

technical field [0001] The invention belongs to the technical field of sensor measurement and processing, and in particular relates to a method for optimizing the flatness of a broadband electric field sensor based on a data fusion mechanism. Background technique [0002] In recent years, the development of electric field sensors has mainly focused on the design of electric field probe antennas, the selection of sensor manufacturing devices, and sensor calibration. There are few studies on sensor measurement data processing. Moreover, the processing of sensor measurement data is currently mostly about linearity calibration. For example, linearity calibration has been analyzed in the sensor calibration standards published by IEEE, but there are few standards and literatures worth referring to for flatness calibration. . However, in engineering applications, it is necessary to properly process sensor measurement data, and back-end data processing is an important method to coo...

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Problems solved by technology

[0003] The purpose of the present invention is to provide a method for optimizing the flatness of a broadband electric field sensor, which adopts an advantage fusion mechanism to solve the problem that the flatness of the entire frequency band is difficult to take into account due to the wide operating frequency of the electric field sensor system, so as to achieve widening of the frequency band without reducing the flatness

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