A triangle voting algorithm based on double feature constraints for star sensors

Fan, Qiang; Zhong, Xuyang

doi:10.1016/j.asr.2017.11.042

Cited by 19 publications

(8 citation statements)

References 15 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Among them, one of the well-known methods was proposed by Liebe et al [1], which was based on finding the angular distance from a star to its two closest neighbours and the spherical angle between them to identify the star. This method paved the way for the development of algorithms that use star triangles for star identification [19,20,21,22,23,24]. Another well-known method, proposed by Mortari et al [23], is the pyramid algorithm which uses four stars to perform the star identification.…”

Section: Star Identification Processmentioning

confidence: 99%

Low-cost Raspberry Pi star sensor for small satellites

Sarpotdar

Nair

et al. 2022

J. Astron. Telesc. Instrum. Syst.

View full text Add to dashboard Cite

We present here a low-cost Raspberry Pi (RPi)-based star sensor StarberrySense using commercial-off-theshelf (COTS) components, developed and built for applications in small satellites and CubeSat-based missions. A star sensor is one of the essential instruments onboard a satellite for attitude determination. However, most commercially available star sensors are expensive and bulky to be used in small satellite missions. StarberrySense is a configurable system -it can operate as an imaging camera, a centroiding camera, or as a star sensor. We describe the algorithms implemented in the sensor, its assembly and calibration. This payload was selected by a recent Announcement of Opportunity call for payloads to fly on the PS4-Orbital Platform by the Indian Space Research Organization (ISRO).

show abstract

Section: Star Identification Processmentioning

confidence: 99%

Low-cost Raspberry Pi star sensor for small satellites

Sarpotdar

Nair

et al. 2022

J. Astron. Telesc. Instrum. Syst.

View full text Add to dashboard Cite

show abstract

“…The lens aperture amounts to 25 mm to enable the detection of stars with a magnitude up to ∼ 7. The star catalog loaded in the KORTES-EU memory will allow an on-board star identification and attitude determination (Shuster, 2006;Fan and Zhong, 2018). The main parameters of the KORTES attitude control system are listed in Table 8.…”

Section: Attitude Control Systemmentioning

confidence: 99%

KORTES Mission for Solar Activity Monitoring Onboard International Space Station

Кириченко

Kuzin

Shestov

et al. 2021

Front. Astron. Space Sci.

View full text Add to dashboard Cite

We present a description of the recent advances in the development of the KORTES assembly—the first solar oriented mission designed for the Russian segment of the International Space Station. KORTES consists of several imaging and spectroscopic instruments collectively covering a wide spectral range extending from extreme ultraviolet (EUV) wavelengths to X-rays. The EUV telescopes inside KORTES will trace the origin and dynamics of various solar phenomena, e.g., flares, CMEs, eruptions etc. EUV spectra provided by grazing-incidence spectroheliographs will enable precise DEM-diagnostics during these events. The monochromatic X-ray imager will observe the formation of hot plasma in active regions and outside them. The SolpeX module inside KORTES will offer an opportunity to measure fluxes, Doppler shifts and polarization of soft X-ray emission both in lines and continuum. SolpeX observations will contribute to studies of particle beams and chromospheric evaporation. The instrumentation of KORTES will employ a variety of novel multilayer and crystal optics. The deployment of KORTES is planned for 2024.

show abstract

“…Although the robustness is high, the identification time is long. The polygon algorithm [20] and the triangle voting algorithm [21] reduce the feature dimension which improve the efficiency but reduce the robustness. These algorithms cannot balance the efficiency and the robustness and be directly applied in actual star sensor.…”

Section: Index Termsmentioning

confidence: 99%