Acta Geodaetica et Cartographica Sinica ›› 2016, Vol. 45 ›› Issue (6): 663-669.doi: 10.11947/j.AGCS.2016.20150481

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Method of Multi-dimensional Gross Errors Snooping of GPS Velocity Estimation in Airborne Gravimetry

ZHENG Kai1, LIU Zhanke1,2, XIAO Xuenian2, ZHANG Xiaohong1   

  1. 1. School of Geodesy and Geomatics, Wuhan University, Wuhan 430079, China;
    2. The First Geodetic Surveying Brigade of National Administration of Surveying, Mapping and Geoinformation, Xi'an 710054, China
  • Received:2015-09-18 Revised:2016-02-13 Online:2016-06-20 Published:2016-06-29
  • Supported by:
    The Special Scientific Research Fund for Public Welfare Profession of China (No. 201512002);National Natural Science Foundation of China (No. 41474025)

Abstract: Precision velocity plays an important role in airborne gravimetry. Since the aircraft in a state of stable flight, we could establish a strict state equation with constant acceleration model for it, then obtained predicted velocity which was used for constructing a priori residual Q to detect the gross errors. Theoretical research showed that Q was influenced by the accuracy of predicted velocity and the measurement errors. According to the statistical features of Q combined with IGG Ⅲ principle, we could lower the contribution of the observation that contained the gross errors. Static testing was used for analyzing the characteristic of measurement errors as well as the accuracy of predicted velocity under the simulated ideal flight environment where the acceleration was approximate to a constant, the results also showed the relationship between the sampling rate and the ability of detecting gross errors. Both the static and kinematic tests demonstrate that new method can well detect the gross error smaller than 1 cycle.

Key words: airborne gravimetry, constant acceleration model, GPS velocity estimation, IGG Ⅲ scheme, detection for multi-dimensional gross error

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