Star pattern identification aboard an inertially stabilized aircraft

Kosik, J. C.

doi:10.2514/3.20632

Cited by 50 publications

(22 citation statements)

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“…The formed polygons or match groups are used to perform star identification in this fashion in such algorithms. Traditional star identification algorithms, such as angular distance algorithm [5,6] , triangle algorithm [7][8][9] , quadrilateral algorithm [10] , and match group algorithm [11,12] , belong to this class. The second class comprises algorithms that use star pattern, which can be regarded as a function of geometrical characteristic.…”

Section: Introductionmentioning

confidence: 99%

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A two-step matching algorithm for autonomous star identification

Gao¹,

Huang²,

Nie³

2016

Proceedings of the 2016 6th International Conference on Advanced Design and Manufacturing Engineering (ICADME 2016)

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Abstract. An algorithm based on the primary star, called the two-step matching algorithm, is proposed. The recognition characteristic of this algorithm consists of angular distances between the primary star and its neighboring stars, and the directions of neighbor stars. This algorithm uses star map information with high efficiency. The performan ce of the algorithm is analyzed through a simulation experiment that compares it with grid algorithm and another algorithm based on the primary star. Simulation results show that the correct identification rate of the two-step matching algorithm is more than 98% when the standard deviation of Gaussian noise is 2 pixels. This algorithm is robust with fake stars and magnitude deviation. The identification rate is more than 96% when five fake stars are present in the star maps. In addition, the algorithm has many advantages, such as quick identification, being unaffected by magnitude noise, and having a small guide star catalog. The two-step matching algorithm has good application value and is promising in the area of star identification.

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Section: Introductionmentioning

confidence: 99%

“…Match group algorithm, also known as the primary star identification algorithm, was proposed by Kosik et al and was introduced in several studies [11] . This algorithm is the earliest recognition algorithm based on the primary star.…”

Section: Introductionmentioning

confidence: 99%

A two-step matching algorithm for autonomous star identification

Gao¹,

Huang²,

Nie³

2016

Proceedings of the 2016 6th International Conference on Advanced Design and Manufacturing Engineering (ICADME 2016)

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“…The star observation is checked against all possible cataloged stars until an unambiguous and unique identification is found [8].…”

Section: Star Identification Techniquesmentioning

confidence: 99%

“…Two stars are selected arbitrarily from a set of measured stars, and the corresponding angular separation is calculated using S are the direction of two stars as measured by the star sensor [8], [9]. Now, search is made in the finite region of the catalog around the approximated boresight of the sensor, for a pair of stars ( , ) i j that fulfils the condition of The phase match scheme is used for calculating the direction of spin axis in spinning satellites [9].…”

Section: Star Identification Techniquesmentioning

confidence: 99%

Astronavigation System as an Autonomous Enhancement Suite for a Strapdown Inertial Navigation System: An Evaluation

Ali¹

2009

Measurement Science Review

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The determination of spacecraft coordinates is embodied by a navigation solution with high degree of autonomy, high precision and reliability. The foremost requirement for the solution of this problem is a strapdown inertial navigation system (SINS), which is autonomous, reliable and jamming resistant, but at the same time, errors in SINS increase with time. Therefore, for the SINS error correction, astronavigation system (ANS) is used as an additional navaid. This paper considers the ANS as an enhancement source for the SINS and presents its theoretical and practical aspects. The typical ANS makes use of star-trackers which are expensive, complicated in their structure and demand a-priori definition and vigilant preparation of each onboard attitude fix. To make this system cost effective and simple, an advanced configuration employs a charge coupled device (CCD) based star sensor rigidly mounted on a strapdown inertial measurement unit (SIMU). Consequently, in this evaluation, the ANS makes use of CCD based star sensors. Simulation results are presented to demonstrate the validity of the method for improving the navigation reliability and performance.

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“…The guide star catalogue is taken as the only standard to judge whether a star sensor system achieves the purpose of star pattern identification and attitude determination, and it is closely related to the star sensor's storage capacity, the execution speed of the star pattern identification algorithm and the design of the internal optical system (Kosik, 1991;Liebe, 1995;2002). The catalogue mainly functions to provide a matching template for star pattern identification and reference vectors for the attitude determination algorithm.…”

Section: Introductionmentioning

confidence: 99%

A New Simplified Selection Algorithm of the Guide Star Catalogue for a Star Sensor

Yang

Zhang

et al. 2014

J. Navigation

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A guide star catalogue characterised by fewer guide stars, uniform distribution and high completeness is conducive to the improvement of star pattern identification and star tracking efficiency, and it has become an important study objective. A screening method, which takes "quasi-uniform distribution" of space solid angles as the principle and the size of the space solid angle corresponding to 4°× 4°on the equator as the reference and divided the whole celestial sphere into 2,664 sub-blocks in sequence, is proposed in this paper. Based on this method, a "quasi-uniform" guide star catalogue with 2,937 guide stars was obtained. According to our ergodic statistical analysis of the whole celestial sphere, in a 12°× 12°field of view, after the space solid angle method was used to divide the celestial sphere, the probability of emergence of three guide stars was 99·9% or above, while the number of guide stars decreased by 12·6% compared to the inscribed cube method. It can be concluded that when the completeness is equal, the space solid angle method is superior to the inscribed cube method in both capacity and distribution uniformity. K E Y WO R D S 1. Star Sensor.2. Guide Star Catalogue. 3. Simplified Selection Algorithm.

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Star pattern identification aboard an inertially stabilized aircraft

Cited by 50 publications

References 1 publication

A two-step matching algorithm for autonomous star identification

A two-step matching algorithm for autonomous star identification

Astronavigation System as an Autonomous Enhancement Suite for a Strapdown Inertial Navigation System: An Evaluation

A New Simplified Selection Algorithm of the Guide Star Catalogue for a Star Sensor

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