Design and Verification of Flight Data Acquisition System using UVM

International Journal of VLSI & Signal Processing
© 2023 by SSRG - IJVSP Journal
Volume 10 Issue 2
Year of Publication : 2023
Authors : Nainshree Raj, G. Pallavi, M. Poornima, S. Lakshmi, S. Jamuna
pdf
How to Cite?

Nainshree Raj, G. Pallavi, M. Poornima, S. Lakshmi, S. Jamuna, "Design and Verification of Flight Data Acquisition System using UVM," SSRG International Journal of VLSI & Signal Processing, vol. 10,  no. 2, pp. 1-11, 2023. Crossref, https://doi.org/10.14445/23942584/IJVSP-V10I2P101

Abstract:

Avionics is an aviation industry platform that provides comprehensive solutions for flight planning, scheduling, and management. Flight data acquisition (FDA) in Avionics refers to the process of collecting and gathering flight-related information from various sources within the Avionics system. It involves integrating data from multiple sources, such as aircraft sensors, air traffic control systems, weather information providers, and airline databases. These diverse sources contribute different types of data, including flight parameters, environmental conditions, and operational details. Overall, flight data acquisition in Avionics plays a crucial role in ensuring the availability of accurate and reliable flight-related information. It enables efficient flight planning, improves operational decision-making, and enhances safety and efficiency in the aviation industry.

Keywords:

Flight Data Acquisition (FDA), Avionics, FPGA, Universal Verification Methodology (UVM), Electronic Design Automation (EDA).

References:

[1] Ning Jia, Hang Chen, and Jun Tian, “A Design of Configurable Multi-type Flight Data Acquisition System,” IEEE International Conference on Signal Processing, Communication and Computing, 2018.
[CrossRef] [Google Scholar] [Publisher Link]
[2] Guojin Peng, Wei Zhang, and Manting Liu, “A Method of Data Acquisition Network Delay Measurement for AFDX Avionics System in Flight Test,” 7th International Conference on Signal and Image Processing, 2022.
[CrossRef] [Google Scholar] [Publisher Link]
[3] John W. Dyer et al., “Portable airborne Data Acquisition for Flight Testes,” IEEE International Instrumentation and Measurements Technology Conference Proceedings, 2014.
[CrossRef] [Google Scholar] [Publisher Link]
[4] G.V. Jayaramaiah, and Chetan. Umadi, “FPGA Implementation of Multiprotocol Data Acquisition System using VHDL,” International Journal of Research in Engineering and Technology, vol. 3, no. 7, pp. 390-394, 2020.
[Google Scholar] [Publisher Link]
[5] Ufuk Sakarya, Ibrahim Ayaz, and Ibrahim Hokelek, “Universal Verification Methodology Application of ARINC429 for Airborne Electronic Hardware Certification,” 13th International Conference on Electrical and Electronics Engineering, 2021.
[CrossRef] [Google Scholar] [Publisher Link]
[6] K. Harikrishnan et al., “Sensor Data Acquisition and De-noising Using FPGA,” International Journal of Scientific and Engineering Research, vol. 11, no. 8, 2020. [Publisher Link]
[7] J. An, and S. Li, “Design of Architecture of Spaceflight Test Data Cen ters Using Cloud Platform,” Journal of Spacecraft TT&C Technology, vol. 35, pp. 137-145, 2016. [Google Scholar]
[8] Doug Laney, “3D Data Management: Controlling Data Volume, Velocity, and Variety,” META Group Research Note, VOL. 6, NO. 70, 2001.
[Google Scholar]
[9] B. Zhao, Design and research of engine parameter collector system [D]. Xi'an, Northwestern Polytechnical University, 2018.
[10] J. Zhang et al., “Hardware Design of Data Acquisition System for a Certain Aircraft Engine, Modern Electronics Technique,” Xi'an, vol. 37, pp. 67-69, 2014.
[11] Akwaowo U. Ekpa, Aniekan E. Eyoh, and Okon Ubom, “A Comparative Analysis of Volumetric Stockpile from UAV Photogrammetry and Total Station Data,” SSRG International Journal of Geoinformatics and Geological Science, vol. 6, no. 2, pp. 29-37, 2019.
[CrossRef] [Google Scholar] [Publisher Link]
[12] M.K. Rachana, T.V. Sindhu, and Della Reasa Valiyaveetil, “Automatic Land surveillance System by Sketching Robot,” SSRG International Journal of Electronics and Communication Engineering, vol. 3, no. 7, pp. 8-13, 2016.
[CrossRef] [Publisher Link]
[13] J. Zhang et al., “Hardware Design of Data Acquisition System for a Certain Aircraft Engine. Modern Electronics Technique,” Xi'an, vol. 37, pp. 67-69, 2014.
[14] Henrik Christophersen et al., “Small Adaptive Flight Control Systems for UAVs using FPGA/DSP Technology,” Georgia Institute of Technology, 2004.
[CrossRef] [Google Scholar] [Publisher Link]
[15] J. Vignesh et al., “Digital Fuel Level Indicator for Motor Bikes using Arduino Microcontroller,” SSRG International Journal of Electronics and Communication Engineering, vol. 4, no. 3, pp. 13-16, 2017.
[CrossRef] [Google Scholar] [Publisher Link]
[16] Ye Fan, “FPGA-Based Data Acquisition System,” 2011 IEEE International Conference on Signal Processing, Communications and Computing (ICSPCC), 2011. [CrossRef] [Google Scholar] [Publisher Link]
[17] Shi-zhen Huang, and Rui-Qi Chen, “FPGA- based IoT Sensor HUB,” 2018 International Conference on Sensor Networks and Signal Processing (SNSP), 2018. [CrossRef] [Google Scholar] [Publisher Link]
[18] Swarup S. Mathurkar et al., “Smart Sensor Based Monitoring System For Agriculture Using Field Programmable Gate Array,” 2014 International Conference on Circuit, Power and Computing Technologies, 2014.
[CrossRef] [Google Scholar] [Publisher Link]
[19] Shuang Bao et al., “FPGA-Based Reconfigurable Data Acquisition System for Industrial Sensors,” IEEE Transactions on Industrial Informatics, vol. 13, no. 4, pp. 1503-1512, 2017.
[CrossRef] [Google Scholar] [Publisher Link]