• Electronics Optics & Control
  • Vol. 21, Issue 6, 72 (2014)
MA Shuai-qi and BAO Cun-hui
Author Affiliations
  • [in Chinese]
  • show less
    DOI: 10.3969/j.issn.1671-637x.2014.06.016 Cite this Article
    MA Shuai-qi, BAO Cun-hui. Identification and Correction of the Outliers in Airborne Equipment Data[J]. Electronics Optics & Control, 2014, 21(6): 72 Copy Citation Text show less
    References

    [1] JIANG D Z, HAN X P.Abnormal data eliminating and repairing method based on two-sided test[J].Electronics Optics & Control, 2013, 20(6): 70-74.

    [2] ZHU X F.A new method for outlier removal from dynamic data based on clustering fuzzy system[J].Journal of Spacecraft TT & C Technology, 2011, 30(5): 81-84.

    [3] Lv W W, GU L, HUANG X T.A method of eliminating outliers in data processing of vibration signal based on wavelet transform[J].Noise and Vibration Control, 2012, 32(4): 150-152,157.

    [4] GAO Z Y, FANG J J, GUO W R.The application of robust filtering for outliers restraining in MEMS integrated navigation[J].Chinese Journal of Sensors and Actuators, 2012, 25(6): 859-863.

    [5] WANG G D, ZHANG S K, YANG R L.An adaptive outlier algorithm based on Kalman filtering for Beidou satellite passive combination navigation[J].Journal of Electronics & Information Technology, 2008, 30(8): 1981-1984.

    [6] CAI F N, LIU Q X.The anti-jamming algorithm of Kalman filter[J].Journal of Zhejiang University of Technology, 2007, 35(3): 279-282, 287.

    [7] LI J H, LI X R.Application of polynomial fitting for data pre-processing flight test data[J].Journal of Projectiles, Rockets, Missiles and Guidance, 2005, 25(4): 799-801.

    MA Shuai-qi, BAO Cun-hui. Identification and Correction of the Outliers in Airborne Equipment Data[J]. Electronics Optics & Control, 2014, 21(6): 72
    Download Citation