A highly accurate wireless digital sun sensor based on profile detecting and detector multiplexing technologies. (1st January 2017)

• Record Type: Journal Article
• Authors: Wei, Minsong; Xing, Fei; You, Zheng
• Is Part Of: Mechanical systems and signal processing. Volume 82(2017)
• Page Start: 56
• Page End: 67
• Publication Date: 2017-01-01
• Subjects: Profile detecting technology -- Wireless digital sun sensor -- Multiple spots recovery approach -- Multiplexing image detector method; Structural dynamics -- Periodicals; Vibration -- Periodicals; Constructions -- Dynamique -- Périodiques; Vibration -- Périodiques; Structural dynamics; Vibration; Periodicals; 621
• DOI: 10.1016/j.ymssp.2016.05.004
• Languages: English
• ISSNs: 0888-3270

Abstract

Abstract: The advancing growth of micro- and nano-satellites requires miniaturized sun sensors which could be conveniently applied in the attitude determination subsystem. In this work, a profile detecting technology based high accurate wireless digital sun sensor was proposed, which could transform a two-dimensional image into two-linear profile output so that it can realize a high update rate under a very low power consumption. A multiple spots recovery approach with an asymmetric mask pattern design principle was introduced to fit the multiplexing image detector method for accuracy improvement of the sun sensor within a large Field of View (FOV). A FOV determination principle based on the concept of FOV region was also proposed to facilitate both sub-FOV analysis and the whole FOV determination. A RF MCU, together with solar cells, was utilized to achieve the wireless and self-powered functionality. The prototype of the sun sensor is approximately 10 times lower in size and weight compared with the conventional digital sun sensor (DSS). Test results indicated that the accuracy of the prototype was 0.01° within a cone FOV of 100°. Such an autonomous DSS could be equipped flexibly on a micro- or nano-satellite, especially for highly accurate remote sensing applications.