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Journal of Information Security Research

Eliminating the Noise Parameters of the Quad Sensor Structure
Emil Iontchev, Rosen Miletiev, Vladimir Bashev and Rumen Yordanov
Higher School of Transport “T. Kableshkov” 158 Geo Milev Street Sofia 1574, Bulgaria., Faculty of Telecommunications at Technical University of Sofia 8 Kl. Ohridski Blvd, Sofia 1000, Bulgaria., Faculty of Telecommunications at Technical University of
Abstract: In the current work we have assessed the noise parameters of the sensor structure of the linear accelerometers. We did it by comparing the usual scale of the single sensors. We found that the signal processing permits the decreasing of major noise parameters of the quad sensor structure. This process permits the accuracy of the sensors and it also helps to know the vehicle location, veracity and attitude which ultimately increase the accuracy of the inertial navigation systems.
Keywords: Quad Sensor Structure, MEMS, Allan Variance Eliminating the Noise Parameters of the Quad Sensor Structure
DOI:https://doi.org/10.6025/jisr/2021/12/4/109-115
Full_Text   PDF 2.07 MB   Download:   204  times
References:

[1] Allan, D. W. (1996). Time and frequency (time-domain) characterization, estimation, and prediction of precision clocks and oscillators, IEEE Trans.Ultrason., Ferroelectr., Freq. Control, vol. UFFC-34, 6, 647–654, November 1987. IEEE Std 1293-1996,
[2] IEEE Standard Specification Format Guide and Test Procedure for Linear, Single –axis, Nongyroscopic Accelerometers, IEEE.
[3] IEEE 952-1997, lEEE Standard Specification Format Guide and Test Procedure for Single-Axis lnterferometric Fiber Optic Gyros
[4] Hou, Haiying. (2004). Modeling Inertial Sensors Errors Using Allan Variance, A Thesis, Department of Geomatics Egineering, Calgary, Alberta.
[5] Han, Songlai., Wang, Jinling., Nathan Knight. (2009). Using Allan variance to determine the calibration model of inertial sensors for GPS/INS integration, 6th International Symposium on Mobile Mapping Technology, Presidente Prudente, São Paulo, Brazil, July 21-24,2009
[6] Kim, H., Lee, J. G., Park, C. G. (2004). Performance Improvement of GPS/INS Integrated System Using AV Analysis, International Symposium on GNSS/GPS, Sydney, Australia.
[7] El-Sheimy, N., Hou, H., Niu, X. (2008). Analysis and Modeling of Inertial Sensors Using Allan Variance, IEEE Trans. Instr. Meas., 57 (1) 140-149.
[8] MPU-6000/6050 datasheet - http://invensense.com/mems/gyro/documents/PS-MPU-6000A-00v3.4.pdf
[9] Iontchev, Emil., Kenov, Radostin., Miletiev, Rossen., Simeonov, Ivaylo. (2014). Hardware implementation of quad microelectro mechanical sensor structure for inertial systems, 37th International Spring Seminar on Electronics Technology, May 7-11, Drezden, Germany
[10] LMK00105 datasheet - http://www.ti.com/lit/ds/symlink/lmk00105.pdf


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