Navigation Performance of the Libration Point Satellite Navigation System for Future Mars Exploration

Zhang, Lei; Xu, Bo

doi:10.1017/s0373463315000478

Cited by 7 publications

(6 citation statements)

References 19 publications

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“…Furthermore, this technique has also been applied to the autonomous navigation of lunar satellites . interplanetary satellites . Earth satellites .…”

Section: Introductionmentioning

confidence: 99%

Joint navigation performance of distant retrograde orbits and cislunar orbits via LiAISON considering dynamic and clock model errors

2019

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Distant retrograde orbits (DROs) in cislunar space offer a promising option for providing navigation services to satellites in the Earth-Moon system due to their long-term orbital stability and unique three-body orbital dynamics. The Linked Autonomous Interplanetary Satellite Orbit Navigation (LiAISON) technique is used to process the satellite-to-satellite tracking (SST) range measurements between a DRO satellite and another satellite in cislunar space to determine their absolute orbital states. The paper evaluates the navigation performances of the LiAISON, which are subject to dynamic model errors and satellite-borne clock errors. The clock models are presented, with a specific emphasis on modeling the non-Gaussian stochastic noise time series that are consistent with the clock instability. Comprehensive simulation results show that the SST system is observable. The DRO and Earth-orbit or lunar-orbit can obtain position accuracies of 100 m and several meters, respectively, and time synchronization accuracy is better than 100 ns. The Earth-Moon transfer orbit is less observable due to its long-orbital period that results in poor measurement geometry.

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“…Furthermore, this technique has also been applied to the autonomous navigation of lunar satellites . interplanetary satellites . Earth satellites .…”

Section: Introductionmentioning

confidence: 99%

Joint navigation performance of distant retrograde orbits and cislunar orbits via LiAISON considering dynamic and clock model errors

2019

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“…4,5) Zhang and Xu analyzed the architecture and navigation Performance of the Lagrangian point satellite navigation system. [6][7][8] Autonomous orbit determination (AOD) is an important performance for the Lagrangian point satellite navigation system. For Lagrangian point satellite navigation system, the process of orbit determination represents a major operational cost.…”

Section: Introductionmentioning

confidence: 99%

The Effectiveness of Solution Technique on the Autonomous Orbit Determination Accuracy of Lagrangian Navigation Constellation

Gao

Bingyu

Zhao

et al. 2018

AEROSPACE TECHNOLOGY JAPAN

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The accuracy of autonomous orbit determination of Lagrangian navigation constellation will affect the navigation accuracy for the deep space probes. Because of the special dynamical characteristics of Lagrangian navigation satellite, the error caused by different solution technique will cause totally different orbit prediction accuracy. We apply the RKF78 and RK4 to solve the motion equation of Lagrangian navigation satellites. There is no obvious difference when these two methods are used to calculate the orbits around the Earth-Moon triangular libration points. However the calculation error increases when RKF78 and RK4 are used to calculate the orbits around the Earth-Moon collinear libration points. Although the calculation error will be the order of 1×10 8 meter, it doesn't cause big difference on the AOD with an AOD step of 1 hour. If the AOD step is bigger than 10 hour, the accuracy of autonomous orbit determination using RKF78 is better than the autonomous orbit determination accuracy using RK4.

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“…The satellites which construct the Lagrangian point satellite navigation system are called Lagrangian navigation satellites. Zhang and Xu analyzed the architecture and navigation performance of the Lagrangian point satellite navigation system [7][8][9]. The Lagrangian navigation constellation is introduced to navigate the deep space probes autonomously.…”

Section: Introductionmentioning

confidence: 99%

Autonomous Orbit Determination for Lagrangian Navigation Satellite Based on Neural Network Based State Observer

Gao

Zhao

Bingyu

et al. 2017

International Journal of Aerospace Engineering

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In order to improve the accuracy of the dynamical model used in the orbit determination of the Lagrangian navigation satellites, the nonlinear perturbations acting on Lagrangian navigation satellites are estimated by a neural network. A neural network based state observer is applied to autonomously determine the orbits of Lagrangian navigation satellites using only satellite-to-satellite range. This autonomous orbit determination method does not require linearizing the dynamical mode. There is no need to calculate the transition matrix. It is proved that three satellite-to-satellite ranges are needed using this method; therefore, the navigation constellation should include four Lagrangian navigation satellites at least. Four satellites orbiting on the collinear libration orbits are chosen to construct a constellation which is used to demonstrate the utility of this method. Simulation results illustrate that the stable error of autonomous orbit determination is about 10 m. The perturbation can be estimated by the neural network.

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Navigation Performance of the Libration Point Satellite Navigation System for Future Mars Exploration

Cited by 7 publications

References 19 publications

Joint navigation performance of distant retrograde orbits and cislunar orbits via LiAISON considering dynamic and clock model errors

Joint navigation performance of distant retrograde orbits and cislunar orbits via LiAISON considering dynamic and clock model errors

The Effectiveness of Solution Technique on the Autonomous Orbit Determination Accuracy of Lagrangian Navigation Constellation

Autonomous Orbit Determination for Lagrangian Navigation Satellite Based on Neural Network Based State Observer

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