New Multiple Head Star Sensor (HYDRA) Description and Status

Blarre, Ludovic; Airey, S. P.

doi:10.2514/6.2005-5932

Cited by 8 publications

(8 citation statements)

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“…If a star image has N O visible stars, having the same stars means that the stars exist in both the star image and the part catalog, whose number is N RP . Thus, the rate of identical stars COR is given by equation (16):…”

Section: Analysis Of the Observed Scope Prediction Performancementioning

confidence: 99%

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A Novel Inertial-Aided Star Pattern Matching Method for Distributed Multiple FoVs

Wang

Cao

Liu

2020

International Journal of Aerospace Engineering

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An aerospace vehicle in high-speed flight involves distributed multiple fields of view (FoVs) of a star sensor, and the maneuvering of the vehicle requires inertial-aided star pattern matching. Accordingly, an inertial-aided star pattern matching method for distributed multiple FoVs is proposed. First, the observation and fusion principles of distributed multiple FoVs are illustrated. Then, an inertial-aided star pattern matching scheme is designed based on the space-time distribution of the line-of sight (LoS) vector and inertial measurement information. Next, an LoS vector estimation method assisted by inertial information and the dynamic establishment of a distributed local catalog are proposed. Finally, in a simulation, the dynamic establishment of the part catalog improves the efficiency of star pattern matching by reducing the catalog scale, and the usability of inertial-aided star pattern matching is analyzed for different gyro and accelerometer precisions.

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Section: Analysis Of the Observed Scope Prediction Performancementioning

confidence: 99%

“…These two algorithms were employed to achieve successful star identification with multi-FoV fusion in an orbit vehicle in [15]. In addition, the applications of mass production multi-FoV star sensors, such as HYDRA [16] and DECOM [17], provided a reference for aerospace vehicle aviation.…”

Section: Introductionmentioning

confidence: 99%

A Novel Inertial-Aided Star Pattern Matching Method for Distributed Multiple FoVs

Wang

Cao

Liu

2020

International Journal of Aerospace Engineering

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“…For an in-flight star tracker, apart from device noises, we should know how these important factors, such as motion of platform, drift in focal length, range of star magnitude, and color dispersion of stars, contribute to the overall position uncertainty (Liebe 2002;van Bezooijen et al 2002;van Bezooijen 2003;Haley et al 2006 andBlarre et al 2008). In this section, the theoretical error models of these parameters are studied to derive proper i dF .…”

Section: Error Boundary Of Some Influential Error Sourcesmentioning

confidence: 99%

“…This value, translated to be the position uncertainty of an average starspot, means an error with a magnitude of 0.01 pixel or better (van Bezooijen 2003). However, various error sources, such as device noises, optical aberration, CCD photo-response non-uniformity (PRNU), temperature-dependent change in focal length, motion, velocity aberration, and spacecraft jitter, can cause position error much larger than that point (Liebe 2002;van Bezooijen 2003;Blarre et al 2008). How to reduce the position error to this point is a tricky issue for star tracker designers.…”

Section: Introductionmentioning

confidence: 99%

“…The latter two systematic errors, also called low frequency error (LFE), can be minimized by temperature regulation at the mounting plane. For example, SED36 star tracker was separated into three parts in order to minimize thermal coupling effects (Blarre et al 2008). Random measurement error includes noise equivalent angle (NEA) and centroid error (van Bezooijen 2003; Michaels & Speed 2004).…”

Section: Introductionmentioning

confidence: 99%

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Theoretic Studies of Full Constraints on a Star Tracker's Influential Error Sources for In-orbit Calibration

Zhang¹,

Hao²,

Wang³

et al. 2016

PASP

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To collect star transits data qualified for in-orbit calibration, this study derives the full error constraints to limit star trackerʼs influential error sources and computes their error boundaries from a theoretical perspective. The full constraints, including not only the minimum variance estimation of position but also the error bound prediction of scale and intensity of Gaussian-shaped starspots, are studied based on the Cramér-Rao Lower Bound (CRLB) theorem. By imposing these constraints on motion, drift in focal length, and other factors, their boundaries could be determined before launch. Therefore, the in-orbit correction accuracy is expected to be close to CRLB through suitable implementation of these constraints. The correctness of the theoretical position error of motion is demonstrated by the data-fitting procedure against test results of star tracker on dynamic performance. The simulation result shows that the drift in focal length can generate an error with the same magnitude as detector noise and thus might be the dominant error source when star tracker is working under stationary circumstance. Using the accuracy performance of some typical star trackers, this study shows that the CRLB constraint may be very effective to estimate the overall position error of a starspot or one axis, valuable data that can be used for online calibration. The overall position uncertainty analysis shows that a weighted method can be employed for calibration, a process where star data can be given a weight in inverse proportion to the CRLB value.

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An attitude tracking method for star sensor under dynamic conditions

Wang

Wei

et al. 2019

Optoelectron. Lett.

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New Multiple Head Star Sensor (HYDRA) Description and Status

Cited by 8 publications

References 0 publications

A Novel Inertial-Aided Star Pattern Matching Method for Distributed Multiple FoVs

A Novel Inertial-Aided Star Pattern Matching Method for Distributed Multiple FoVs

Theoretic Studies of Full Constraints on a Star Tracker's Influential Error Sources for In-orbit Calibration

An attitude tracking method for star sensor under dynamic conditions

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