Finding the gaps in space GNC hardware

An industry-wide survey of guidance, navigation and control (GNC) sensors, namely star trackers, gyros, and sun sensors was undertaken in 2014, in which size, mass, power, and various performance metrics were recorded for each category. A multidimensional analysis was performed, looking at the spectrum of available sensors, with the intent of identifying gaps in the available capability range. Mission types that are not currently well served by the available components were discussed, as well as some missions that would be enabled by filling gaps in the component space. This paper continues that study, with a focus on reaction wheels and magnetometers, as well as with updates to the listings of star trackers, gyros, and sun sensors. Also discussed are a framework for making the database available to the community at large, and the continued maintenance of this database and the analysis of its contents.

show abstract

“…The initial findings are summarized in the next few paragraphs. For a more detailed discussion of these findings, see reference [1].…”

Section: Previous Findingsmentioning

confidence: 99%

Understanding international GNC hardware trends

Greenbaum

Brady

Dennehy

et al. 2015

2015 IEEE Aerospace Conference

Self Cite

View full text Add to dashboard Cite

show abstract

“…Create a set {(i, j)} of star pairs and initialize it to an empty set. The member (i, j) in the set denotes that star x (1) i in the old frame and star x (2) j in the new frame is the same star.…”

Section: B Initialization and Star Trackingmentioning

confidence: 99%

“…(2) Calculate the angular distance d ij between each star in { x (1) i } and each star in { x (2) j }, and then compare it with threshold δ 1 , where δ 1 is named as ''star tracking radius''. If d ij < δ 1 , it indicates that star x (1) i in the old frame is close enough to star x…”

Section: B Initialization and Star Trackingmentioning

confidence: 99%

“…(2) When the second frame arrives, set up the correspondence of the stars between the second frame and the original frame with the method above. The correspondence is represented as f (2) :…”

Section: B Initialization and Star Trackingmentioning

confidence: 99%

“…The basic principle of star sensors is to find the correspondence between observed stars and cataloged stars, and then determine their attitude [1]. After decades of development, modern star sensors have been able to work steadily under ideal working conditions [2], [3]. However, when a star sensor is disturbed by strong radiation, plumes, stray lights, etc., a large number of false stars may appear in the FOV (field of view) of star sensor, which seriously interferes with star identification, leading to failure in attitude determination.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

False Star Filtering for Star Sensor Based on Angular Distance Tracking

Wang

et al. 2019

IEEE Access

View full text Add to dashboard Cite

The reliability of star sensor in a harsh environment has recently become a research hotspot. In some harsh environment such as plume interference, a large number of false stars can be observed, leading to failure in star identification. In this paper, we propose a false star filtering algorithm, which can be used as a preprocessing algorithm for any existing star identification algorithm. By utilizing the difference between the motion of false stars and true stars, the algorithm performs angular distance tracking and star voting on multiple consecutive frames of star images and achieves false star filtering. The software simulation results show that for the star images containing more than 700 false stars, the algorithm is able to find out all true stars in less than 10 frames, and the success rate of the algorithm remains high when the star sensor rotates at up to 1 • /s. The algorithm is also implemented on an existing star senor and evaluated with star images generated by a dynamic star simulator. The experimental results indicate that with the help of the proposed algorithm, the robustness of a normal star identification algorithm can be significantly improved. INDEX TERMS Star sensor, harsh environment, false star filtering, star identification.

show abstract