Innovative navigation strategies based on multiple signals for performance improvement of drone-based operations

Innovative navigation strategies based on multiple signals for performance improvement of drone-based operations

Verdiana Bottino

Abstract. The growing employment of Unmanned Aerial Systems (UASs, commonly referred to as drones) in civilian and military environments, along with the increasing accuracy of avionics components, has led to the definition of more stringent drone-based mission requirements. In this sense, the following work summarizes a series of Ph.D. research activities aimed at improving UAS performance under different aspects, in order to enhance their use in a variety of application contexts and environmental conditions while ensuring a satisfactory level of accuracy.

Keywords
UAS, MEMS, Remotely Piloted Aircraft, Drones, Integrated Navigation, Heading, 5G Technology

Published online 9/1/2023, 5 pages
Copyright © 2023 by the author(s)
Published under license by Materials Research Forum LLC., Millersville PA, USA

Citation: Verdiana Bottino, Innovative navigation strategies based on multiple signals for performance improvement of drone-based operations, Materials Research Proceedings, Vol. 33, pp 329-333, 2023

DOI: https://doi.org/10.21741/9781644902677-48

The article was published as article 48 of the book Aerospace Science and Engineering

Content from this work may be used under the terms of the Creative Commons Attribution 3.0 license. Any further distribution of this work must maintain attribution to the author(s) and the title of the work, journal citation and DOI.

References
[1] de Alteriis, G., Silvestri, A. T., Conte, C., Bottino, V., Caputo, E., Squillace, A., Accardo, D., and Schiano Lo Moriello, R. “Innovative Fusion Strategy for MEMS Redundant-IMU Exploiting Custom 3D Components.” Sensors, Vol. 23, No. 5, 2023, p. 2508. https://doi.org/10.3390/s23052508
[2] Khosravi, M., Enayati, S., Saeedi, H., and Pishro-Nik, H. “Multi-Purpose Drones for Coverage and Transport Applications”, IEEE Transactions on Wireless Communications, Vol. 20, No. 6, 2021. https://doi.org/10.1109/TWC.2021.3054748
[3] Kangunde, V., Jamisola, R. S., and Theophilus, E. K. “A Review on Drones Controlled in Real-Time”. International Journal of Dynamics and Control. 4. Volume 9, 1832–1846.
[4] Zhu, P., Wen, L., Du, D., Bian, X., Fan, H., Hu, Q., and Ling, H. “Detection and Tracking Meet Drones Challenge.” IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol. 44, No. 11, 2022, pp. 7380–7399. https://doi.org/10.1109/TPAMI.2021.3119563
[5] Ayamga, M., Akaba, S., and Nyaaba, A. A. “Multifaceted Applicability of Drones: A Review.” Technological Forecasting and Social Change, Vol. 167, 2021. https://doi.org/10.1016/J.TECHFORE.2021.120677
[6] Han, S., Meng, Z., Omisore, O., Akinyemi, T., and Yan, Y. “Random Error Reduction Algorithms for MEMS Inertial Sensor Accuracy Improvement—a Review”. Micromachines. 11. Volume 11, 1–36.
[7] Narasimhappa, M., Mahindrakar, A. D., Guizilini, V. C., Terra, M. H., and Sabat, S. L. “MEMS-Based IMU Drift Minimization: Sage Husa Adaptive Robust Kalman Filtering.” IEEE Sensors Journal, Vol. 20, No. 1, 2020, pp. 250–260. https://doi.org/10.1109/JSEN.2019.2941273
[8] Fontanella, R., de Alteriis, G., Accardo, D., Schiano, R., Moriello, L., and Angrisani, L. “Advanced Low-Cost Integrated Inertial Systems with Multiple Consumer Grade Sensors”, IEEE/AIAA 37th Digital Avionics Systems Conference (DASC). IEEE, 2018.
[9] de Alteriis, G., Accardo, D., Conte, C., and lo Moriello, R. S. “Performance Enhancement of Consumer-Grade Mems Sensors through Geometrical Redundancy.” Sensors, Vol. 21, No. 14, 2021. https://doi.org/10.3390/s21144851
[10] Navidi, N., Landry, R., Mariani, S., and Gravina, R. “A New Perspective on Low-Cost MEMS-Based AHRS Determination.” 2021. https://doi.org/10.3390/s21041383
[11] de Alteriis, G., Bottino, V., Conte, C., Rufino, G., and lo Moriello, R. S. “Accurate Attitude Initialization Procedure Based on MEMS IMU and Magnetometer Integration”, 2021 IEEE 8th International Workshop on Metrology for AeroSpace (MetroAeroSpace). IEEE, 2021.
[12] Bottino, V., de Alteriis, G., Schiano, R., Moriello, L., Rufino, G., and Accardo, D. “Drone Navigation Based on Integrated MEMS Inertial and Polarimetric Camera Measurements”, AIAA SCITECH 2023 Forum (p. 2705).
[13] Bottino, V., de Alteriis, G., Accardo, D., Schiano, R., and Moriello, L. “System Architecture Design of a UAV for Automated Cinematography in GNSS-Challenging Scenarios”, 2022 IEEE 9th International Workshop on Metrology for AeroSpace (MetroAeroSpace), 2022.
[14] Bai, L., Sun, C., Dempster, A. G., Member, S., Zhao, H., Cheong, J. W., and Feng, W. “GNSS-5G Hybrid Positioning Based on Multi-Rate Measurements Fusion and Proactive Measurement Uncertainty Prediction.” Vol. 71, 2022.
[15] Li, F., Tu, R., Hong, J., Zhang, S., Zhang, P., and Lu, X. “Combined Positioning Algorithm Based on BeiDou Navigation Satellite System and Raw 5G Observations.” Measurement: Journal of the International Measurement Confederation, Vol. 190, No. August 2021, 2022, p. 110763. https://doi.org/10.1016/j.measurement.2022.110763
[16] Shi, L., Shi, D., Zhang, X., Meunier, B., Zhang, H., Wang, Z., Vladimirescu, A., Li, W., Zhang, Y., Cosmas, J., Ali, K., Jawad, N., Zetik, R., Legale, E., Satta, M., Wang, J., and Song, J. “5G Internet of Radio Light Positioning System for Indoor Broadcasting Service.” IEEE Transactions on Broadcasting, Vol. 66, No. 2, 2020, pp. 534–544. https://doi.org/10.1109/TBC.2020.2981755