2016
DOI: 10.1007/s00190-016-0926-5
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A drift line bias estimator: ARMA-based filter or calibration method, and its application in BDS/GPS-based attitude determination

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Cited by 10 publications
(5 citation statements)
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“…There is no approximation. Third, the estimated UPD parameter can absorb time-varying perturbation due to temperature variations or rain [10]. Therefore, the solutions are more accurate and stable.…”
Section: Discussionmentioning
confidence: 99%
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“…There is no approximation. Third, the estimated UPD parameter can absorb time-varying perturbation due to temperature variations or rain [10]. Therefore, the solutions are more accurate and stable.…”
Section: Discussionmentioning
confidence: 99%
“…During the data processing, δN i = 0 when there is no cycle slip for satellite i or δN i = ∞ to assimilate the cycle slip. The disturbance of SD UPD is set as 1 × 10 −4 cycle by experience, or it can be increased appropriately to absorb the environmental temperature variation and the receiver-self inner circuit transmitting delay [10]. Moreover, these disturbances obey the process of statistical Markov; their variances are related to the time interval and their covariance matrix…”
Section: Single-difference (Sd) Observables With Single-epoch Kalman Filter (Kf) Modelmentioning
confidence: 99%
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“…Previous works have investigated the advantages of the SD model over the DD model with a common-clock receiver. It is found that with respect to the DD model, the achievable baseline accuracy of the SD model in the vertical could be improved to the same level as the horizontal, and the accuracy of pitch and roll could be improved to the same level as for yaw [8,[13][14][15][16][17].…”
Section: Introductionmentioning
confidence: 99%
“…However, when the SD model is applied, one must take into account the troublesome frequency-dependent phase line bias (LB), which is composed of the between-receiver phase hardware delay and initial phase bias [8]. Since the phase LBs could change to arbitrary values once the receiver is restarted, they should be real-time estimated with a proper system state model (e.g., random walk or time constant) rather than calibrated and corrected in advance [8,13]. However, the phase LBs cannot be estimated simultaneously with the SD ambiguities since they are linearly correlated.…”
Section: Introductionmentioning
confidence: 99%