Pentagram star pattern identification algorithm applied in three-head star sensors

2017 ◽  
Vol 31 (19-21) ◽  
pp. 1740046
Author(s):  
Feng Wu ◽  
Xifang Zhu ◽  
Xiaoyan Jiang
Keyword(s):  
Monte Carlo ◽  
Success Rate ◽  
Pattern Identification ◽  
Identification Algorithm ◽  
Star Sensor ◽  
Star Pattern ◽  
Monte Carlo Experiments ◽  
Celestial Sphere ◽  
Star Pattern Identification

A pentagram star pattern identification algorithm for three-head star sensors was proposed. Its realization scheme was presented completely. Simulated star maps were produced by letting the three-head star sensor travel around the celestial sphere randomly and image the observed stars. Monte Carlo experiments were carried out. The performances of the pentagram algorithm were evaluated. It proves that its identification success rate reaches up to 98%.

Redundant-coded radial and neighbor star pattern identification algorithm

2015 ◽  
Vol 51 (4) ◽  
pp. 2811-2822 ◽  
Author(s):  
Jie Jiang ◽  
Feilong Ji ◽  
Jinyun Yan ◽  
Li Sun ◽  
Xinguo Wei
Keyword(s):  
Pattern Identification ◽  
Identification Algorithm ◽  
Star Pattern ◽  
Star Pattern Identification

scholarly journals Algorithm with Patterned Singular Value Approach for Highly Reliable Autonomous Star Identification

Sensors ◽  
2020 ◽  
Vol 20 (2) ◽  
pp. 374 ◽  
Author(s):  
Kiduck Kim ◽  
Hyochoong Bang
Keyword(s):  
High Speed ◽  
Rapid Identification ◽  
Pattern Identification ◽  
Identification Algorithm ◽  
Space Applications ◽  
Dynamic Conditions ◽  
Star Pattern ◽  
Space Star ◽  
Actual Space ◽  
Star Pattern Identification

In the work reported in this paper, a lost-in-space star pattern identification algorithm for agile spacecraft was studied. Generally, the operation of a star tracker is known to exhibit serious degradation or even failure during fast attitude maneuvers. While tracking methods are widely used solutions to handle the dynamic conditions, they require prior information about the initial orientation. Therefore, the tracking methods may not be adequate for autonomy of attitude and control systems. In this paper a novel autonomous identification method for dynamic conditions is proposed. Additional constraints are taken into account that can significantly decrease the number of stars imaged and the centroid accuracy. A strategy combining two existing classes for star pattern identification is proposed. The new approach is intended to provide a unique way to determine the identity of stars that promises robustness against noise and rapid identification. Moreover, representative algorithms implemented in actual space applications were utilized as counterparts to analyze the performance of the proposed method in various scenarios. Numerical simulations show that the proposed method is not only highly robust against positional noise and false stars, but also guarantees fast run-time, which is appropriate for high-speed applications.

Fast Access and Low Memory Star Pair Catalog for Star Pattern Identification

2010 ◽  
Vol 33 (5) ◽  
pp. 1396-1403 ◽  
Author(s):  
David D. Needelman ◽  
James P. Alstad ◽  
Peter C. Lai ◽  
Haytham M. Elmasri
Keyword(s):  
Pattern Identification ◽  
Star Pattern ◽  
Star Pattern Identification ◽  
Fast Access

Optimization of guide star catalog for daytime star sensors

2019 ◽  
Vol 34 (01n03) ◽  
pp. 2040065
Author(s):  
Feng Wu ◽  
Xifang Zhu ◽  
Qingquan Xu ◽  
Ruxi Xiang ◽  
Qiuyang Yu ◽  
...  
Keyword(s):  
Signal To Noise Ratio ◽  
Simple Calculation ◽  
High Signal ◽  
Star Sensor ◽  
Infrared Band ◽  
Star Catalog ◽  
Celestial Sphere ◽  
Guide Star ◽  
Star Pattern Identification ◽  
Navigation Information

Daytime star sensor provides accuracy navigation information to air vehicles near the ground in the daytime by observing stars. It has been an important development of modern star sensors. In order to achieve a high signal-to-noise ratio, daytime star sensors work in the infrared band to avoid interferences from sky background. Daytime star sensors output accurate attitudes by identifying the observed stars in the field of view (FOV) according to the loaded guide star catalog. Guide stars are usually required to be distributed uniformly on the celestial sphere to improve the performance of star pattern identification. The parameters including limiting magnitude and FOV are determined by processing the 2MASS star catalog as the original star data and performing star distribution statistics. After constellation features are discussed, the idea of distributing stars in the local FOV to constellations is put forward by using the star pair angular separations. An optimization algorithm to build the guide star catalog for daytime stars is proposed to achieve evenly distributed guide stars. The guide star catalog is established and analyzed, proving that the proposed algorithm has simple calculation and easy realization. The Boltzmann entropy of obtained guide star catalog drops two orders of magnitude. Guide stars are distributed more uniformly.

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