A novel calibration algorithm with auxiliary signal source for sensor array errors

In this paper smart shield panel electrical operating parameters meters of energy generating facilities functionality is analysis. The list of functions of measuring instruments supplemented, which allowed increasing their operational characteristics. Methods and results of realization of these functions given for the panel board intellectualized voltage meter of alternating current. The structural scheme of the developed panel board intellectualized meter is described and its main technical characteristics are given.A method of mobile calibration of the device is proposed, in which a calibration signal source with a separate fixed value is used, and the calibration process itself is controlled from the device keyboard. A modernized detailed and simplified calibration algorithm is present. Ref. 12, fig. 5, tabl. 2.

Download Full-text

Error Self-Calibration Algorithm for Acoustic Vector Sensor Array

Journal of Sensors ◽

10.1155/2019/9052547 ◽

2019 ◽

Vol 2019 ◽

pp. 1-10

Author(s):

Peng Wang ◽

Yujun Kong ◽

Mingxing Zhang

Keyword(s):

Sensor Array ◽

Doa Estimation ◽

Acoustic Vector Sensor ◽

Estimation Performance ◽

Self Calibration ◽

Phase Errors ◽

Vector Sensor ◽

Calibration Algorithm ◽

The Impact ◽

Vector Sensor Array

In this paper, the errors of acoustic vector sensor array are classified, the impact factor of each error for the array signal model is derived, and the influence of each type of error on the direction-of-arrival (DOA) estimation performance of the array is compared by Monte Carlo experiments. Converting the directional error and location error to amplitude and phase errors, the optimization model and error self-calibration algorithm for acoustic vector sensor array are proposed. The simulation experiments and field experiment data processing of MEMS vector sensor array show that the proposed self-calibration algorithm has good parameter estimation performance and certain engineering practicability.

Download Full-text

Array errors active calibration algorithm and its improvement

Science China Information Sciences ◽

10.1007/s11432-010-0089-6 ◽

2010 ◽

Vol 53 (5) ◽

pp. 1016-1033 ◽

Cited By ~ 8

Author(s):

Ding Wang ◽

Ying Wu

Keyword(s):

Active Calibration ◽

Calibration Algorithm ◽

Array Errors

Download Full-text

Performance of Signal Space Separation Depending on Sensor Array Arrangement in Biomagnetic Measurements

Key Engineering Materials ◽

10.4028/www.scientific.net/kem.480-481.1418 ◽

2011 ◽

Vol 480-481 ◽

pp. 1418-1425

Author(s):

Ki Woong Kim ◽

Yong Ho Lee ◽

Sung Won Park

Keyword(s):

Noise Reduction ◽

Spherical Harmonic ◽

Sensor Array ◽

Magnetic Noise ◽

Signal Source ◽

Noise Interference ◽

Signal Space Separation ◽

Different Shapes ◽

Measuring Sensor ◽

Space Separation

Signal source separation (SSS) has widely been adopted for magnetoencephalography (MEG) to reduce external magnetic noise interference. The basic idea of SSS is based on decomposing measured fields into spherical harmonic bases. Due to the feature, the performance of SSS strongly depends on the shape of a measuring sensor array. In this article, we show the noise reduction performances in several different shapes of the sensor and array and demonstrate SSS is only effective for a non-spherical sensor array or for a gradiometric arrangement.

Download Full-text

A Surface Normal On-Machine Measuring Method Using Eddy-Current (EC) Sensor Array

International Journal of Automation Technology ◽

10.20965/ijat.2016.p0977 ◽

2016 ◽

Vol 10 (6) ◽

pp. 977-984 ◽

Cited By ~ 1

Author(s):

Meng Lian ◽

◽

Hai Bo Liu ◽

Yong Qing Wang ◽

Yang Li ◽

...

Keyword(s):

Sensor Array ◽

Measuring Method ◽

Calculation Model ◽

Normal Vector ◽

Displacement Sensors ◽

Surface Normal ◽

Calibration Algorithm ◽

Mirror Milling ◽

Position Calibration ◽

Key Aspects

Normal vector measurements of the machining point and attitude adjustments of the end effector are key aspects to meet the technological requirements of hole verticality in auto-drilling and the residual wall thickness in mirror milling. In this paper, a surface normal on-machine measuring method using an EC sensor array is proposed. The influences of the object surface inclination and the sensor array arrangement on the performance of EC displacement sensors were investigated, and the sensor measuring errors from coupling interference were effectively eliminated. Moreover, a practical calibration algorithm was established in which the positions of the EC sensors in a normal vector calculation model were accurately corrected. The feasibility of the measuring method was validated through a calibration experiment, as well as a measurement experiment based on the calibration results. The accuracy of a normal vector measurement is improved when applying the accuracy compensation and position calibration algorithm of an EC array to engineering practices.

Download Full-text