Performance Analysis of Nasir 1 Star Tracker in the Presence of Systematic Errors using Monte-Carlo Method

Non-Dimensional star pattern recognition is a novel algorithm which an overall system error analysis in order to determine its robustness is not performed for it so far. Although the mentioned algorithm is independent of Focal length and optical offset variations, its operational effect of bright point coordinate variations. The results demonstrate that the non-dimensional algorithm performance is pretty fragile in the presence of a common 0.1 pixel error, which makes the algorithm unable to perform onboard Nasir 1 star tracker. Eventually the algorithm was modified and the results show great improvements.