Modeling and analysis of solar Doppler difference bias with arbitrary rotation axis

Liu, Jin; Li, Yangyang; Ning, Xiaolin; Chen, Xiao; Kang, Zhiwei

doi:10.1016/j.cja.2020.04.034

Cited by 13 publications

(5 citation statements)

References 19 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The Doppler difference deviation model has been established from the aspects of TDOA expansion width, solar rotation and Lambertian radiation, etc. It proves that the solar Doppler difference method meets the requirement of navigation accuracy [21]- [23]. The noise error of spectrometer is about 1cm/s [24] after the disturbance of random noise is lowered by the common information processing methods such as Kalman filter.…”

Section: Introductionmentioning

confidence: 74%

Accuracy Analysis of Spectral Velocimetry for the Solar Doppler Difference Navigation

et al. 2021

Self Cite

View full text Add to dashboard Cite

The accuracy of spectral velocimetry is an important performance index for the solar Doppler difference navigation. In order to analyze the influence of spectral variation on the accuracy of velocity measurement, we establish a velocimetry model based on the solar Doppler difference navigation, and propose a velocity accuracy analysis method. In this method, the reflected noise is filtered by wavelet transform, and then the high-resolution cross-correlation is used to solve the redshift value, so as to accurately calculate the velocity of the spacecraft. Combining the existing solar spectrum and Martian reflectance data, the 13 most obvious absorption lines are selected for velocity simulation and calculation. The experimental results show that the velocity accuracy of Doppler difference navigation can reach 0.1312m/s. The width and depth of the spectral line, the planetary reflectivity, as well as the sunlight fluctuations and the reflected noise will all have a certain impact on the spectral velocimetry for the Solar Doppler Difference Navigation.

show abstract

Section: Introductionmentioning

confidence: 74%

Accuracy Analysis of Spectral Velocimetry for the Solar Doppler Difference Navigation

et al. 2021

Self Cite

View full text Add to dashboard Cite

show abstract

“…Celestial navigation is an effective autonomous navigation method for spacecraft to explore deep space [16]. According to different measurement information, the existing celestial navigation methods fall into three categories: celestial navigation based on star angle [17][18][19], celestial navigation based on X-ray pulsar [20,21], and celestial navigation based on Doppler velocity [22,23]. However, each celestial navigation method has its own characteristics and shortcomings.…”

Section: Introductionmentioning

confidence: 99%

Analysis and Compensation of Sun Direction Error on Solar Disk Velocity Difference

Gui,

Yang,

Zhao

et al. 2023

Mathematics

View full text Add to dashboard Cite

Solar disk velocity difference is an emerging celestial navigation measurement acquired through four spectrometers positioned on the four corners of the quadrangular pyramid. The alignment of the pyramid’s axis with the direction from the sun to the spacecraft is crucial. However, the sun sensor measurement error inevitably leads to the sun direction error, which both significantly affect navigation accuracy. To address this issue, this article proposes an augmented state sun direction/solar disk velocity difference integrated navigation method. By analyzing the impact of the sun direction error on sun direction and solar disk velocity difference measurements, the errors of the solar elevation and azimuth angle are extended to the state vector. The navigation method establishes state and measurement models that consider these errors. Simulation results show that the position error and velocity error of the proposed method are reduced by 97.51% and 96.91% compared with those of the integrated navigation with the sun direction error, respectively. The result demonstrates that the proposed method effectively mitigates the impact of sun direction error on navigation performance. In addition, the proposed method can maintain a satisfactory error suppression effect under different sun direction error values.

show abstract

“…However, this celestial Doppler difference measurement method changes the measurement model. Considering factors such as the overlap ratio of the zone of the direct and reflected solar light sources, the diffusion effect of the time difference of light arrival (TDOA), the direction of the solar rotation axis, the differential solar rotation, and the Lambert radiator, Liu Jin established a near-real solar difference deviation model [40][41][42]. However, due to the instability of the astronomical spectra, the spectral velocity estimation method of the ground station has some defects, such as low accuracy and instability, which affect velocimetry navigation.…”

Section: Introductionmentioning

confidence: 99%

Oryctolagus Cuniculus Algorithm and Its Application in the Inversion Method of Asteroid Spectra Reflectance Template

Jin,

Liu,

Kang

et al. 2023

Applied Sciences

Self Cite

View full text Add to dashboard Cite

To improve the global optimization ability and convergence speed of the swarm intelligence algorithm, we proposed a new swarm intelligence optimization algorithm, namely the Oryctolagus cuniculus algorithm. This includes five mechanisms: the determination of safety zones, the cave escape, the agglomeration of Oryctolagus cuniculi, the maintenance of the Oryctolagus cuniculus king, and the zone competition. Each solution is represented by each Oryctolagus cuniculus’s position (including zone number and specific location number). The grass density and safety index at the location of the Oryctolagus cuniculus represents its fitness value. The determination of safety zones implies that predators such as eagles hunt Oryctolagus cuniculi in dangerous zones, and the zone without predators is considered a safety zone. The cave escape refers to the act of Oryctolagus cuniculi using a connected cave system to flee from a dangerous zone and reach a secure zone, thereby evading potential predators. We select the Oryctolagus cuniculus with higher fitness values as the king of each zone, and the Oryctolagus cuniculi gather towards the Oryctolagus cuniculus king. This mechanism ensures that Oryctolagus cuniculus mainly searches in zones with abundant grass and quickly finds the optimal solution. In the maintenance of the Oryctolagus cuniculus king, we choose the one with higher fitness values as the Oryctolagus cuniculus king. Zone competition is induced by an increase in the number of Oryctolagus cuniculi in zones with abundant grass by ordering the fitness values of each zone, and vice versa. We apply the Oryctolagus cuniculus algorithm to the inversion method of the asteroid spectra reflectance template. The experimental results show that compared with artificial rabbit optimization, this algorithm has a faster rate of convergence and better solution, effectively screens the reflectance template, and improves the Doppler difference velocimetry accuracy. In addition, the application of the Oryctolagus cuniculus algorithm to the knapsack problem also performs effectively.

show abstract

Modeling and analysis of solar Doppler difference bias with arbitrary rotation axis

Cited by 13 publications

References 19 publications

Accuracy Analysis of Spectral Velocimetry for the Solar Doppler Difference Navigation

Accuracy Analysis of Spectral Velocimetry for the Solar Doppler Difference Navigation

Analysis and Compensation of Sun Direction Error on Solar Disk Velocity Difference

Oryctolagus Cuniculus Algorithm and Its Application in the Inversion Method of Asteroid Spectra Reflectance Template

Contact Info

Product

Resources

About