Abstract
In recent years, with the rapid expansion of satellite applications, Global Navigation Satellite System (GNSS) can barely satisfy the increasing demand for precise services. Such that, it becomes a challenge to build a hybrid satellite navigation system to achieve more precise and robust services. With the advantages of less time-delay and less pass-loss, LEO satellite can significantly enhance the accuracy, integrity, availability and anti-interference ability of GNSS, which is expected to break through the bottleneck of global positioning, navigation and timing (PNT) services. Aiming to develop the next generation hybrid satellite navigation system, this paper focuses on the LEO navigation signal’s performance analysis. Firstly, we proposes the mathematical model of LEO signal burst, then the estimation error of Doppler and Pseudo-range is derived, and finally, the positioning performance of large-scale LEO constellations is analyzed by STK and MATLAB. The research results of this paper proves the feasibility of LEO satellite navigation and provides a sensible solution for next generation satellite system.
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References
Zhao, Y.: Brief probe on application of compass navigation satellite system in the fields of sea, land and air. In: Proceedings of 2017 2nd International Conference on Materials Science, Machinery and Energy Engineering. Dalian, China [s.n.], pp. 212–217 (2017)
Qin, H.L., Tan, A.A., Cong, L., et al.: Positioning technology based on ORBCOMM signal of opportunity. J. Beijing Univ. Aeronaut. Astronaut. 46(11), 1999–2006 (2020)
Qin, H.L., Tan, Z.Z., Cong, L., et al.: Positioning technology based on IRIDIUM signals of opportunity. J. Beijing Univ. Aeronaut. Astronaut. 45(9), 1691–1699 (2019)
He, F., Wu, L.: Spectral analysis and waveform optimization of signals for future GNSS. J. Harbin Inst. Technol. 44(9), 101–106 (2012)
Meng, Y., et al.: A global navigation augmentation system based on LEO communication constellation. In: 2018 European Navigation Conference (ENC), pp. 65–71 (2018). https://doi.org/10.1109/EURONAV.2018.8433242
Ge, H., Li, B., Ge, M., et al.: Initial assessment of precise point positioning with LEO enhanced global navigation satellite systems (LeGNSS). Remote Sens. 10(7), 984 (2018)
Benzerrouk, H., Nguyen, Q., Xiaoxing, F., Amrhar, A., Nebylov, A.V., Landry, R.: Alternative PNT based on iridium next LEO satellites doppler/INS integrated navigation system. In: 2019 26th Saint Petersburg International Conference on Integrated Navigation Systems (ICINS), pp. 1–10 (2019). https://doi.org/10.23919/ICINS.2019.8769440
Bofeng, L., Haibo, G., Maorong, G., et al.: LEO enhanced global navigation satellite system (LeGNSS) for real—time precise positioning services. Adv. Space Res. 61, 2942–2954 (2018)
Khalife, J., Neinavaie, M., Kassas, Z.M.: Navigation With differential carrier phase measurements from megaconstellation LEO satellites. In: 2020 IEEE/ION Position, Location and Navigation Symposium (PLANS), pp. 1393–1404 (2020). https://doi.org/10.1109/PLANS46316.2020.9110199
Kay, S.M.: Fundamentals of Statistical Signal Processing: Estimation Theory. Prentice-Hall Inc., Upper Saddle River, pp. 193–197 (1993)
Rife, D., Boorstyn, R.: Single tone parameter estimation from discrete-time observations. IEEE Trans. Inf. Theory 20, 591–598 20(5), 591–598 (1974)
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Cui, Z., Yue, F., Tian, R., Zhang, S., Dong, Q. (2021). Positioning Error Modeling with Signal Burst of LEO Constellation. In: Wang, X., Wong, KK., Chen, S., Liu, M. (eds) Artificial Intelligence for Communications and Networks. AICON 2021. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 397. Springer, Cham. https://doi.org/10.1007/978-3-030-90199-8_3
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DOI: https://doi.org/10.1007/978-3-030-90199-8_3
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