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- W3141720252 abstract "The estimation criteria for solving parameters in zero-differenced GPS positioning is that observations obey Gaussian white noise distribution.But a number of pioneering studies point out that the white noise would be damaged by satellites errors,propagation errors,station environment errors and so on.Meanwhile,un-modeling errors also have adverse effects.These errors not only undermine the assumption estimation criteria,and some non-white noises are likely to be absorbed by state parameters.In result,the accuracy of estimates is influenced.This paper regards white noise,colored noise and un-modeling errors as ZD stochastic model of GPS.Then the Allan variance method is proposed to analyze the posteriori residuals which can represent the Stochastic characteristics of GPS data.Noise component and parameters are mainly investigated.The result shows GPS noise behaves as WN plus GM.The phase and pseudorange WN is 2.392 mm and 0.936 mrespectively,GM process noise is 4.450mm/sand 0.833m/respectively,correlation time is 52.074 sand 14.737 srespectively.It is found that the phase GM component is associated with satellite,but the rest is associated with station.A number of analysis indicate that the ZD stochastic model characteristics of GPS obeys non-Gaussian white noise distribution and is to be refined." @default.
- W3141720252 created "2021-04-13" @default.
- W3141720252 creator A5033663125 @default.
- W3141720252 date "2015-01-01" @default.
- W3141720252 modified "2023-09-26" @default.
- W3141720252 title "Using Allan Variance to Analyze the Zero-differenced Stochastic Model Characteristics of GPS" @default.
- W3141720252 hasPublicationYear "2015" @default.
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