Paper
2 February 2006 Active pixel sensor geometrical characteristic effects on star image subdivided locating accuracy for star tracker
Jie Li, Jinguo Liu, Zhihang Hao
Author Affiliations +
Proceedings Volume 6031, ICO20: Remote Sensing and Infrared Devices and Systems; 60310C (2006) https://doi.org/10.1117/12.667919
Event: ICO20:Optical Devices and Instruments, 2005, Changchun, China
Abstract
Active pixel sensor (APS) star tracker becomes an investigated hotspot because of its technical advantages. And centroid algorithm is a subpixel method proper to star position calculation because of its high accuracy and simplicity. When centroid algorithm is applied on APS star tracker, APS pixel geometrical characteristics might effect on star image position accuracy. Because the amplifier circuit and other function circuits inter pixel of APS take up some pixel area, the Fill Factor is less than 100%. Moreover, the active sensitive area has a certain geometrical shape, such as square, rectangle and L shape. The Fill Factor of pixel influences on star image subdivided locating accuracy when using centioid algorithm. In this paper, we have analyzed all pixel geometrical characteristics influence on the star position accuracy. From simulation experiments, we can conclude that Fill factor and pixel geometric shape influence on star position accuracy. The star locating error increased when Fill Factor decreased, and different geometrical shape of active sensitive area of pixel can make different influence on star location accuracy, the symmetrical sensitive area in x or y axis have symmetrical location error in the same axis.
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Jie Li, Jinguo Liu, and Zhihang Hao "Active pixel sensor geometrical characteristic effects on star image subdivided locating accuracy for star tracker", Proc. SPIE 6031, ICO20: Remote Sensing and Infrared Devices and Systems, 60310C (2 February 2006); https://doi.org/10.1117/12.667919
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Cited by 3 scholarly publications.
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KEYWORDS
Stars

Sensors

Active sensors

Charge-coupled devices

Detection and tracking algorithms

Image segmentation

Point spread functions

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