Autors: Marinov, M. B., Ganev, B. T., Djermanova, N., Tashev, T.D.
Title: Analysis of Sensors Noise Performance Using Allan Deviation
Keywords: Allan deviation, Allan variance, Analysis method, CO2 sensor, Inertial sensor, MEMS pressure sensor, Sensor noise, Stochastic errors

Abstract: The paper presents the noise analysis of different sensor types using Allan Variance (AV). Compared to the conventional variance that assesses the variation around the mean value of the aggregate data surveyed, AV estimates variations by averaging measurements for different periods. This approach often leads to the possibility of directly distinguishing the different noise types and to better convergence of the process of assessing their levels. An important advantage of this method is that there is no need for any further transformations. According to IEEE recommendations, the AV approach is the preferred method for identifying stochastic error and for determining the type of noise in different types of inertial sensors. The purpose of this work is to study the applicability of the AV analysis method for efficient noise analysis for other types of sensors such as CO2 and MEMS pressure sensors

References

    Issue

    28th International Scientific Conference Electronics, 12 September 2019 through 14 September 2019, vol. ET 2019 - Proceedings, issue 28, pp. Article number 8878552, 2019, Bulgaria, Institute of Electrical and Electronics Engineers Inc., DOI 10.1109/ET.2019.8878552

    Copyright IEEE

    Цитирания (Citation/s):
    1. Nedyalkov, I., Stefanov, A., Georgiev, G., Application of technologies from telecommunication networks for the protection of data generated from power electronic devices, 2020 PCIM Europe Conference Proceedings 1, pp. 1157-1164 - 2020 - в издания, индексирани в Scopus или Web of Science

    Вид: пленарен доклад в международен форум, публикация в реферирано издание, индексирана в Scopus