StarNav III: a three fields of view star tracker

Mortari, Daniele; Romoli, Andrea

doi:10.1109/aero.2002.1036827

Cited by 20 publications

(12 citation statements)

References 3 publications

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“…9,10 The star sensor with large view field has a significant development, which enables multiple stars be observed synchronously by CNS. 11 In preliminary research of INS/CNS integrated navigation, the observations of multiple stars are assumed to have the same error characters, which is obtained from star sensor's ground test. 12 However, the error levels of starlight observations in flight would be different than on ground, which is especially significant during the hypersonic and high dynamic flight process.…”

Section: Introductionmentioning

confidence: 99%

A new tightly-coupled INS/CNS integrated navigation algorithm with weighted multi-stars observations

Wang

Xiong

Liu

et al. 2015

Proceedings of the Institution of Mechanical Engineers, Part G:

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Integrating celestial navigation system (CNS) and inertial navigation system (INS) is an effective way to realize autonomous navigation for hypersonic cruise vehicles. In multi-stars synchronous observation, the error levels of starlight observations are not only changing with time, but also different from star to star, which is ignored by classic INS/CNS integrated navigation. In this paper, a new tightly-coupled INS/CNS integrated navigation algorithm with weighted multistars observations is proposed. Different from the classic method, tightly-coupled model provides a novel framework for INS/CNS integration, which enables direct fusion of INS measurements with original CNS observations. Meanwhile, star subsets traversal strategy is designed to evaluate the error level of each observation. Then adaptive filter which can fuse multi-star observations with INS according to evaluated error levels is researched. The proposed new algorithm shows significant improvement in navigation accuracy than the classic method in simulation.

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Section: Introductionmentioning

confidence: 99%

A new tightly-coupled INS/CNS integrated navigation algorithm with weighted multi-stars observations

Wang

Xiong

Liu

et al. 2015

Proceedings of the Institution of Mechanical Engineers, Part G:

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show abstract

“…The scheme of splitting FOV-camera for increasing attitude estimation accuracy and reducing camera volume/weight on small satellites were detailed discussed in [3][4][5][6][7][8][9][10]. The three FOVs star tracker was presented in [7], which observes the sky by means of three orthogonal fields of view and focuses all the star images onto a single CCD/CMOS imager.…”

Section: Introductionmentioning

confidence: 99%

“…Because starlight come from two constellations at the same time, and two images interlace with one another on the imaging plane of single CCD/CMOS, the optic configuration mentioned in [6,7] introduces the problem to identify the FOV info from double FOVs. Junkins, John L. et al [6] suggest an aberration element to optically tag optical data captured from respective fields of view.…”

Section: Introductionmentioning

confidence: 99%

A method for identifying image data coming from two optical channels in a split field of view star camera

Cao

Chen

Wang

et al. 2014

2014 IEEE Metrology for Aerospace (MetroAeroSpace)

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Split FOV (Field of View) star tracker was developed by Texas A&M University together with the University of Rome "La Sapienza". A 50% splitter was used to combine light beams from two separate FOVs, while only a single objective lens and optical detector are used. In this way, double FOV configuration allows increased accuracy in attitude determination by taking advantage of the ability to examine two orthogonal FOVs simultaneously. There is a demand for optical tag due to each frame contained overlapping star images coming from separate FOVs. In this paper we propose a method for identifying two FOVs by tagging the images with different shaped diffraction patterns. We insert a circular diaphragm in the optical channel 1 # and non-circular (elliptical or rectangular) in the channel 2 # , so that images with distinctive features are produced at CCD photosensitive surface ---circular Airy disc for the FOV-1 # and elliptical contour (with side lobe or distortion) for FOV-2 # . The effects of elliptical sampling window and the signal-to-noise ratio on the accuracy of the centroid estimate for star spots with a Gaussian intensity distribution were discussed theoretically. The optical tagging has one limitation. There is possibility for a star image tagged by non-circular contour, which is confused with smearing trail due to high angular velocity operation (e.g. greater than 1°/s).

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“…Image filtering algorithms can detect the direction of the smearing and separate the stars according to which aperture they entered. If, however, the Star-ID technique is very robust to the presence of non-stars, the Star-ID algorithm may be run many times on the same image, perhaps on stars from three apertures, all in orthogonal directions [40][41][42]. In these cases it is possible to separate the stars without the need for smearing the stars in a given direction.…”

Section: Star Trackers For Different Applicationsmentioning

confidence: 99%

A Survey on Star Identification Algorithms

2009

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Abstract:The author surveys algorithms used in star identification, commonly used in star trackers to determine the attitude of a spacecraft. Star trackers are a staple of attitude determination systems for most types of satellites. The paper covers: (a) lost-in-space algorithms (when no a priori attitude information is available), (b) recursive algorithms (when some a priori attitude information is available), and (c) non-dimensional algorithms (when the star tracker calibration is not well-known). The performance of selected algorithms and supporting algorithms are compared.

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StarNav III: a three fields of view star tracker

Cited by 20 publications

References 3 publications

A new tightly-coupled INS/CNS integrated navigation algorithm with weighted multi-stars observations

A new tightly-coupled INS/CNS integrated navigation algorithm with weighted multi-stars observations

A method for identifying image data coming from two optical channels in a split field of view star camera

A Survey on Star Identification Algorithms

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