Extended Integrative Combined Orbit Determination Models based on Sparse Parameters Representation and Combined Optimal Weighting Algorithm

Yuan, Hongli; Zhao, Danyang; Feng, Shaochong; Guang-qing, WU

doi:10.1109/itnec.2019.8729166

2019 IEEE 3rd Information Technology, Networking, Electronic and Automation Control Conference (ITNEC) 2019

DOI: 10.1109/itnec.2019.8729166

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Extended Integrative Combined Orbit Determination Models based on Sparse Parameters Representation and Combined Optimal Weighting Algorithm

Hongli Yuan¹,

Danyang Zhao²,

Shaochong Feng³

et al.

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Cited by 2 publications

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Multi-structure non-linear semi-parametric optimal weighting parameters estimation algorithm based on adaptive sparse representation deconstruction model and integrative COD comprehensive model

Zhao¹,

Zhiying²,

Liu³

et al. 2020

J. Phys.: Conf. Ser.

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For the combined orbit determination (COD) satellite-network system which is made of GEO-IGSO-MEO satellite-constellation and LEO satellites, the satellites-trajectory are not precise enough, because the meticulous satellite dynamics model, credible observation data model and optimal parameters estimation method are not taking into consideration. The high-level adaptive sparse-deconstruction dynamics model, non-linear semi-parametric combined orbit determination comprehensive model is put forward. By using the above models, adaptive weighting iterative wavelets decomposition algorithm of sparse-representation deconstruction model and multi-structure non-linear semi-parametric optimization weighted estimation algorithm of integrative combined orbit determination comprehensive models are designed. Simulated calculation results show that results showed that the high-precision sparse representation method and the optimization model estimation method can improve COD precision, and when comprehensive model systematic & random error parameters and adaptive sparse-representation deconstruction model parameters are estimated by integrative nonlinear semi-parametric comprehensive model synchronously, COD ultimate trajectory calculation estimation precision can get significant improvement.

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Multi-structure non-linear semi-parametric optimal weighting parameters estimation algorithm based on adaptive sparse representation deconstruction model and integrative COD comprehensive model

Zhao¹,

Zhiying²,

Liu³

et al. 2020

J. Phys.: Conf. Ser.

View full text Add to dashboard Cite

show abstract

Framework and Methods of State Monitoring-Based Positioning System on WIFI-RTT Clock Drift Theory

Guo,

2024

IEEE Trans. Aerosp. Electron. Syst.

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Extended Integrative Combined Orbit Determination Models based on Sparse Parameters Representation and Combined Optimal Weighting Algorithm

Cited by 2 publications

References 5 publications

Multi-structure non-linear semi-parametric optimal weighting parameters estimation algorithm based on adaptive sparse representation deconstruction model and integrative COD comprehensive model

Multi-structure non-linear semi-parametric optimal weighting parameters estimation algorithm based on adaptive sparse representation deconstruction model and integrative COD comprehensive model

Framework and Methods of State Monitoring-Based Positioning System on WIFI-RTT Clock Drift Theory

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