Abstract
Since the distribution of state variables of satellite orbit estimation is non-Gaussian, the particle filtering algorithm is put forward. Through the presentation of the particle filtering algorithm and the mechanism of satellite orbit estimation, the orbit determination model based on the particle filtering algorithm is established. The results of simulation show that the particle filtering algorithm can effectively solve the problem that the distribution of state variables of satellite orbit estimation is non-Gaussian.
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Bai, D. (2017). Orbit Determination Based on Particle Filtering Algorithm. In: Sun, J., Liu, J., Yang, Y., Fan, S., Yu, W. (eds) China Satellite Navigation Conference (CSNC) 2017 Proceedings: Volume III. CSNC 2017. Lecture Notes in Electrical Engineering, vol 439. Springer, Singapore. https://doi.org/10.1007/978-981-10-4594-3_1
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DOI: https://doi.org/10.1007/978-981-10-4594-3_1
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