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Information Journal Paper

Title

PERFORMANCE ANALYSIS OF NASIR 1 STAR TRACKER IN THE PRESENCE OF SYSTEMATIC ERRORS USING MONTE-CARLO METHOD

Pages

  15-21

Abstract

 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 usage is still bounded. In this research, algorithm’s robustness is determined using an overall error 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.

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    APA: Copy

    ROSHANIAN, JAFAR, YAZDANI, SHABNAM, HASSANI, MEHDI, & EBRAHIMI, MASOUD. (2012). PERFORMANCE ANALYSIS OF NASIR 1 STAR TRACKER IN THE PRESENCE OF SYSTEMATIC ERRORS USING MONTE-CARLO METHOD. JOURNAL OF CONTROL, 6(2), 15-21. SID. https://sid.ir/paper/120860/en

    Vancouver: Copy

    ROSHANIAN JAFAR, YAZDANI SHABNAM, HASSANI MEHDI, EBRAHIMI MASOUD. PERFORMANCE ANALYSIS OF NASIR 1 STAR TRACKER IN THE PRESENCE OF SYSTEMATIC ERRORS USING MONTE-CARLO METHOD. JOURNAL OF CONTROL[Internet]. 2012;6(2):15-21. Available from: https://sid.ir/paper/120860/en

    IEEE: Copy

    JAFAR ROSHANIAN, SHABNAM YAZDANI, MEHDI HASSANI, and MASOUD EBRAHIMI, “PERFORMANCE ANALYSIS OF NASIR 1 STAR TRACKER IN THE PRESENCE OF SYSTEMATIC ERRORS USING MONTE-CARLO METHOD,” JOURNAL OF CONTROL, vol. 6, no. 2, pp. 15–21, 2012, [Online]. Available: https://sid.ir/paper/120860/en

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