International Journal of Image, Graphics and Signal Processing (IJIGSP)
IJIGSP Vol. 16, No. 3, 8 Jun. 2024
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Enhancing Data Processing Methods to Improve UAV Positioning Accuracy
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Author(s)
Igor Zhukov
1,*
Bogdan Dolintse
2
Sergii Balakin
2
Index Terms
LeGNSS, INS, LEO satellites, UAV, multi-constellation positioning system, precise positioning, drone management
Abstract
UAVs play a crucial role in various applications, but their effective operation relies on precise and reliable positioning systems. Traditional positioning systems face challenges in delivering the required accuracy due to factors such as signal degradation, environmental interference, and sensor limitations. This study proposes the LeGNSS positioning subsystem, which integrates low Earth orbit (LEO) satellite network data with GPS and MEMS-based inertial systems, to enhance UAV positioning accuracy and reliability. The presented in this research LeGNSS system employs sophisticated algorithms for optimal data processing and filtering from various sources. Simulation results demonstrate a 9.02% improvement in positioning estimation accuracy compared to classic GPS/INS integration and a 26.4% improvement compared to the onboard GPS receiver. The integration of inertial and satellite positioning, corrective mechanisms, and optimized filtration has resulted in improved precision of trajectory computations, attenuation of positioning signal anomalies, and a significant decrease in INS inaccuracies. The proposed LeGNSS positioning system presents a solution for precise and reliable UAV positioning in a wide range of applications. By leveraging the unique advantages of LEO satellite networks and advanced data fusion techniques, this system pushes the boundaries of UAV positioning capabilities. The novel integration of multiple data sources and the use of adaptive error correction algorithms set a new standard for accuracy and robustness, paving the way for unprecedented capabilities in fields such as aerial surveying, precision agriculture, infrastructure monitoring, and emergency response. Analysing the impact of complex environmental factors on LeGNSS operation can provide insights into expanding the list of satellite systems or sensors to improve positioning accuracy, particularly in high-latitude regions. The findings of this study contribute to improving the accuracy, reliability, and resilience of UAV positioning systems, with applications in scientific polar research, geomatics data gathering, and other domains. The LeGNSS system has the potential to become a key feature for the next generation of autonomous aerial vehicles, unlocking efficiency, safety, and innovation across industries.
Cite This Paper
Igor Zhukov, Bogdan Dolintse, Sergii Balakin, "Enhancing Data Processing Methods to Improve UAV Positioning Accuracy", International Journal of Image, Graphics and Signal Processing(IJIGSP), Vol.16, No.3, pp. 100-110, 2024. DOI:10.5815/ijigsp.2024.03.08
Reference
[1]Sayed, A. N., Ramahi, O. M., & Shaker, G. (2023). Detection and classification of drones using radars, AI, and full-wave electromagnetic CAD tool. In Drones - Various Applications, IntechOpen, pp. 1-25.
[2]Chen, V. C., Li, F., Ho, S.-S., & Wechsler, H. (2006). Micro-Doppler effect in radar: Phenomenon, model, and simulation study. IEEE Transactions on Aerospace and Electronic Systems, 42(1), pp. 2-21.
[3]Nosich, A. I., Poplavko, Y. M., Vavriv, D. M., & Yanovsky, F. J. (2002). Microwaves in Ukraine. IEEE Microwave Magazine, 3(4), pp. 82-90.
[4]Yanovsky, F. (2008). Millimeter-wave radar: Principles and applications. In Millimeter wave technology in wireless PAN, LAN, and MAN. Auerbach Publications, CRC Press, pp. 305-376.
[5]Yanovsky, F. J., Russchenberg, H. W. J., & Unal, C. M. H. (2005). Retrieval of information about turbulence in rain by using Doppler-polarimetric radar. IEEE Transactions on Microwave Theory and Techniques, 53(2), pp. 444-450.
[6]Yanovsky, F. (2022). Retrieving information about remote objects from received signals. In M. Andriychuk, M. Antyufeyeva, & O. Bagatska (Eds.), 2022 IEEE 2nd Ukrainian Microwave Week (UkrMW), IEEE, pp. 512-517.
[7]Wang, D., & Ali, Z. A. (Eds.). (2023). Advances in UAV detection, classification and tracking. MDPI Books.
[8]Bokal, Z. M., Sinitsyn, R. B., & Yanovsky, F. J. (2011). Generalized copula ambiguity function application for radar signal processing. 2011 Microwaves, Radar and Remote Sensing Symposium (MRRS), pp. 313-316.
[9]Yanovsky, F. J., Sinitsyn, R. B., Chervoniak, Y., Makarenko, V., Tokarev, V., & Zaporozhets, O. (2016). Moving target detection and tracking using passive acoustic radar. 2016 IEEE Radar Methods and Systems Workshop (RMSW), pp. 87-90.
[10]Thomas, T. (2020). Russia's electronic warfare force: Blending concepts with capabilities (MITRE Product No. MP 19-2714, 9-10-2020). MITRE Corporation.
[11]Yan, D., & Ni, S. (2022). Overview of anti-jamming technologies for satellite navigation systems. 2022 IEEE 6th Information Technology and Mechatronics Engineering Conference (ITOEC), pp. 118-124.
[12]Li, B., et al. (2018). LEO enhanced global navigation satellite system (LeGNSS) for real-time precise positioning services. Advances in Space Research, 63(1), pp. 73-93.
[13]Schrader, D. K., et al. (2016). Real-time averaging of position data from multiple GPS receivers. Measurement, 90, pp. 329-337.
[14]He, H., Li, J., Yang, Y., Xu, J., Guo, H., & Wang, A. (2014). Performance assessment of single- and dual-frequency BeiDou/GPS single-epoch kinematic positioning. GPS Solutions, 18, pp. 393-403.
[15]Zhukov, I. (2010). Implementation of integral telecommunication environment for harmonized air traffic control with scalable flight display systems. Aviation, 14(4), pp.117-122.
[16]Oxley, A. (2017). Uncertainties in GPS positioning: A mathematical discourse. Academic Press.
[17]Li, B., Ge, H., Ge, M., Nie, L., Shen, Y., & Schuh, H. (2018). LEO enhanced Global Navigation Satellite System (LeGNSS) for real-time precise positioning services. Advances in Space Research, 63(1), pp. 73-93.
[18]Ge, H., Li, B., Jia, S., Nie, L., Wu, T., Yang, Z., … Ge, M. (2022). LEO Enhanced Global Navigation Satellite System (LeGNSS): progress, opportunities, and challenges. Geo-Spatial Information Science, 25(1), pp. 1-13.
[19]Kharchenko, V., Kliushnikov, I., Rucinski, A., Fesenko, H., & Illiashenko, O. (2022). UAV fleet as a dependable service for smart cities: Model-based assessment and application. Smart Cities, 5(3), pp. 1151-1178.
[20]J. Zidan, E. I. Adegoke, E. Kampert, S. A. Birrell, C. R. Ford and M. D. Higgins. (2021). GNSS Vulnerabilities and Existing Solutions: A Review of the Literature. In IEEE Access, 9, pp. 153960-153976.
[21]Zhou, Q., Ding, S., Qing, G., & Hu, J. (2022). UAV vision detection method for crane surface cracks based on Faster R-CNN and image segmentation. Journal of Civil Structural Health Monitoring, 12, pp. 845-855.
[22]Dolintse, B. I. (2023). Architecture of integrated navigation systems with enhanced coordinate accuracy and fault detection. Problems of Informatization and Control, 2(74), pp. 31-37.
[23]Liu, W., & Wu, P. (2023). Multi-UAV collaborative absolute vision positioning and navigation: A survey and discussion. Drones, 7(4), pp. 254-261.
[24]Zhukov, I., & Dolintse, B. (2023). Enhancing accuracy of information processing in onboard systems of UAVs. Technology Audit and Production Reserves, 5(2), pp. 6-10.
[25]Boley, A. C., & Byers, M. (2021). Satellite mega-constellations create risks in Low Earth Orbit, the atmosphere and on Earth. Scientific Reports, 11(1), Article 10642.
[26]Khalife, J., Neinavaie, M., & Kassas, Z. M. (2022). The first carrier phase tracking and positioning results with Starlink LEO satellite signals. IEEE Transactions on Aerospace and Electronic Systems, 58(2), pp. 1487-1491.
[27]Neinavaie M., Khalife J., Kassas Z. M. (2022). Acquisition, Doppler Tracking, and Positioning With Starlink LEO Satellites: First Results. IEEE Transactions on Aerospace and Electronic Systems. 2022. Vol. 58, № 3. P. 2606–2610.