Guide star catalog generation for short-wave infrared (SWIR) All-Time star sensor

2018 ◽  
Vol 89 (7) ◽  
pp. 075003 ◽  
Author(s):  
Wenjie Wang ◽  
Xinguo Wei ◽  
Jian Li ◽  
Guangjun Zhang
Keyword(s):  
Short Wave ◽  
Star Sensor ◽  
Star Catalog ◽  
Short Wave Infrared ◽  
Guide Star

scholarly journals Guide Star Selection for the Three-FOV Daytime Star Sensor

Sensors ◽  
2019 ◽  
Vol 19 (6) ◽  
pp. 1457 ◽  
Author(s):  
Liang Wu ◽  
Qian Xu ◽  
Haojing Wang ◽  
Hongwu Lyu ◽  
Kaipeng Li
Keyword(s):  
Short Wave ◽  
Optimal Number ◽  
Reference Points ◽  
Filter Method ◽  
Star Sensor ◽  
Star Catalog ◽  
Swir Band ◽  
Star Identification ◽  
Guide Star ◽  
Star Catalogs

To realize the application of the star sensor in the all-day carrier platform, a three-field-of-view (three-FOV) star sensor in short-wave infrared (SWIR) band is considered. This new prototype employs new techniques that can improve the detection capability of the star sensor, when the huge size of star identification feature database becomes a big obstacle. Hence, a way to thin the guide star catalog for three-FOV daytime star sensor is studied. Firstly, an introduction of three-FOV star sensor and an example of three-FOV daytime star sensor with narrow FOV are presented. According to this model and the requirement of triangular star identification method, two constraints based on the number and the brightness of the stars in FOV are put forward for guide star selection. Then on the basis of these constraints, the improved spherical spiral method (ISSM) is proposed and the optimal number of reference points of ISSM is discussed. Finally, to demonstrate the performance of the ISSM, guide star catalogs are generated by ISSM, magnitude filter method (MFM), 1st order self-organizing guide star selection method (1st-SOPM) and the spherical spiral method (SSM), respectively. The results show that the guide star catalog generated by ISSM has the smallest size and the number and brightness characteristics of its guide stars are better than the other methods. ISSM is effective for the guide star selection in the three-FOV daytime star sensor.

scholarly journals Lost-in-Space Star Identification Using Planar Triangle Principal Component Analysis Algorithm

2015 ◽  
Vol 2015 ◽  
pp. 1-11
Author(s):  
Fuqiang Zhou ◽  
Tao Ye
Keyword(s):  
Principal Component Analysis ◽  
Principal Component ◽  
Component Analysis ◽  
Identification Algorithm ◽  
Star Sensor ◽  
Star Catalog ◽  
Star Identification ◽  
Triangle Method ◽  
Space Star ◽  
Guide Star

It is a challenging task for a star sensor to implement star identification and determine the attitude of a spacecraft in the lost-in-space mode. Several algorithms based on triangle method are proposed for star identification in this mode. However, these methods hold great time consumption and large guide star catalog memory size. The star identification performance of these methods requires improvements. To address these problems, a star identification algorithm using planar triangle principal component analysis is presented here. A star pattern is generated based on the planar triangle created by stars within the field of view of a star sensor and the projection of the triangle. Since a projection can determine an index for a unique triangle in the catalog, the adoption of thek-vector range search technique makes this algorithm very fast. In addition, a sharing star validation method is constructed to verify the identification results. Simulation results show that the proposed algorithm is more robust than the planar triangle andP-vector algorithms under the same conditions.

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.

scholarly journals Evaporated Se x Te 1‐ x Thin Films with Tunable Bandgaps for Short‐Wave Infrared Photodetectors

2020 ◽  
Vol 32 (38) ◽  
pp. 2001329 ◽  
Author(s):  
Chaoliang Tan ◽  
Matin Amani ◽  
Chunsong Zhao ◽  
Mark Hettick ◽  
Xiaohui Song ◽  
...  
Keyword(s):  
Thin Films ◽  
Short Wave ◽  
Infrared Photodetectors ◽  
Short Wave Infrared

scholarly journals Quantum magneto transport properties of nanostructure multi quantum wells short wave Infrared detectors

2021 ◽  
Vol 1743 ◽  
pp. 012009
Author(s):  
Merieme Benaadad ◽  
Abdelhakim Nafidi ◽  
Samir Melkoud ◽  
Driss Barkissy ◽  
Nassima Benchtaber
Keyword(s):  
Quantum Wells ◽  
Transport Properties ◽  
Infrared Detectors ◽  
Short Wave ◽  
Short Wave Infrared

CO2 retrieval model and analysis in short-wave infrared spectrum

Optik ◽  
2016 ◽  
Vol 127 (10) ◽  
pp. 4422-4425 ◽  
Author(s):  
Yanfen Li ◽  
Chunmin Zhang ◽  
Dongdong Liu ◽  
Jie Chen ◽  
Piao Rong ◽  
...  
Keyword(s):  
Infrared Spectrum ◽  
Short Wave ◽  
Retrieval Model ◽  
Short Wave Infrared
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