UAVs Localization Utilizing Geostationary Satellites through Cross Ambiguity Function Extraction Based on FDOA/TDOA Techniques

Document Type : -

Authors

1 PhD student, Electrical and Computer Faculty, Malek-e- Ashtar University, Tehran, Iran

2 Professor, Electrical and Computer Faculty, Malek-e- Ashtar University, Tehran, Iran

Abstract

Regarding the connection of the terminal of hostile long-range UAVs with satellites of the ground in order to carry out the assigned mission, the positioning scenario has been planned accordingly. In this article, the aim is to passively locate these UAVs using the geolocation method based on extracting the cross ambiguity function by considering the TDOA/FDOA parameters. For this basis, positioning has been done with a scenario based on two GEO satellites (called primary and secondary satellites) and the installation of three ground receivers in designated locations and the modeling of the received signals using the properties of time delays and Doppler shift. For this purpose, by entering the time and frequency parameters in the modeled signals, the cross ambiguity function of the satellite signals received by the ground receivers has been solved. The purpose of this article is to find suitable methods for passive localization of moving aerial targets. For this, by using the method of cross ambiguity function, the target position calculation based on TDOA and FDOA is introduced and investigated. These methods are proportional to the information obtained from the measurements made on the received signals, and appropriate criteria are also provided for comparing these methods.  In the proposed method, modeling is based on two ground receivers and one reference receiver. This approach has significant advantages compared to other localization methods that typically use more than three receivers and two satellites simultaneously and, its improvement in different SNR. By performing the simulation, the peak value of the ambiguity function, which indicates the intersection of the TDOA, FDOA and target location equations, was calculated. The results of the performed simulations show the improvement of positioning accuracy and reaching the Cramer-Rao band.

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References

[1] Guo, F.; Fan, Y.; Zhou, Y. “Space Electronic Reconaissance, Localization Theories and Methods”; John Wiley & Sons, 1st,2014. ISBN: 9781118542217.
[2] Jia, T.; Ho, K. C.; Wang, H.; Shen, X. “Effect of Motion on Time Delay and Doppler Shift Localization: Analysis and Solution”; IEEE Trans. Signal Process., 2019, 67, 5881–5895. doi: 1109/TSP.2019.2946025
[4] Zheng-bo, S.; Shang-fu,Y. “Analysis on Parameter Error of Satellite Interference Location”; APRASC, 2004, 265-268. doi: 1109/.2004.1422454
[5] Yan, H.; Cao, J.; Chen, L. “Study on Location Accuracy of Dual Satellite Geolocation System”; IEEE, ICSOP, 2010, 107-110. doi: 1109/ICOSP.2010.5656806
[6] Chestnut, P. “Emitter Location Accuracy Using TDOA and Differential Doppler”; IEEE Trans. Aerosp. Electron. Syst., 1982, 2, 214-218 . doi: 1109/TAES.1982.309230
[7] Hao, C.; Liu, H.; Hao, K.; Wan, Q. “Satellite Interference Direct Geolocation Using Long-Time Coherent Integration”; IEEE ICCCI, 2019, doi: 1109/ICCC47050.2019. 9064270
[8] Ho, K.C; Xu, W. “An Accurate Algebraic Solution for Moving Source Location Using TDOA and FDOA Measurements”; IEEE Trans. Signal Process., 2004, 9, 2453–2463, doi: 1109/TSP.2004.831921
[9] Peters, Christopher; Thornton, “Cooperative UAS Geolocation of Emitters with Multi-Sensor-Bounded Timing and Localization Error”; IEEE Aerospace Conference, 2023, 1095323, doi: 10.1109/AERO55745.2023.10116023.
[10] Ankit, J.;  Pagani, P.; Fleury, R. M.; Ney, M.; Pajusco, P. “Measurement Qualification Metrics for Passive HF Geolocation”; IEEE EuCAP, 2019, 978-88-907018-8-7. doi: 10.1109/EuCAP.2019.8740591
[11] Zou, Y.; Wan, Q. “Emitter Source Localization Using Time-of-Arrival Measurements from Single Moving Receiver”; IEEE Int. Conf. Acoust. Speech. Signal Process, 2017, 3444-3448. doi: 1109/ICASSP.2017.7952796
[12] Wu, R.; Zhang, Y. “A Novel Long-Time Accumulation Method for Double-Satellite TDOA/FDOA Interference Localization”; Radio Science AGU Publications, 2018, 53, 129-142. doi: 10/1002/2017RS006389
[13] Zou, Y.; Liu, H.; Wan, Q. “An Iterative Method for Moving Target Localization Using TDOA and FDOA Measurements”; IEEE Access, 2017, 2169-3536. doi: 10.1109/ACCESS.2017.2785182.
[14] B, Yang;  Lei, W.;  Qun ,C.;  Nan, L. “Passive Satellite Localization using TDOA/FDOA/AOA Measurements”, IEEE Conference Anthology, 978-1-4799-1660-3, 2014. doi: 10.1109/ANTHOLOGY.2013.6784815.
[15] Jung, H.; Kang, J.; Kim, S. “EKF-based Geolocation using TDOA/FDOA Measurements in Dual-Satellite”; IEEE 13th International Conference on Information and Communication Technology Convergence, 2022. doi: 1109/ICTC55196. 2022.9952551.
[16] Geeraret, J. L.; Mahon, J. W. “Dual- satellite Geolocation with Ephemeries Correction and Uncertainty Mapping”; IEEE Trans. Aerosp. Electron. Syst., 2020. doi: 1109/TAES.2019. 2920045.
Journal of Advanced Defense Science & Technology
Volume 15, Issue 2 - Serial Number 56
Summer
September 2024
Pages 77-84

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History

  • Receive Date: 15 June 2024
  • Revise Date: 16 July 2024
  • Accept Date: 10 August 2024
  • Publish Date: 22 August 2024

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