Validation of BeiDou Observations
MetadataShow full item record
This study presents validation of BeiDou measurements in un-differenced standalone mode and experimental results of its application for real data. A reparameterized form of the unknowns in a geometry-free observation model was used. Observations from each satellite are independently screened using a local modeling approach. Main advantages include that there is no need for computation of inter-system biases and no satellite navigation information are needed. Validation of the triple-frequency BeiDou data was performed in static and kinematic modes, the former at two continuously operating reference stations in Australia using data that span two consecutive days and the later in a walking mode for three hours. The uses of the validation method parameters for numerical and graphical diagnostics of the multi-frequency BeiDou observations are discussed. The precision of the system’s observations was estimated using an empirical method that utilizes the characteristics of the validation statistics. The capability of the proposed method is demonstrated in detection and identification of artificial errors inserted in the static BeiDou data and when implemented in a single point positioning processing of the kinematic test.
The final publication is available at www.degruyter.com
Showing items related by title, author, creator and subject.
Advanced receiver autonomous integrity monitoring using triple frequency data with a focus on treatment of biasesEl-Mowafy, Ahmed (2016)Most current Advanced Receiver Autonomous Integrity Monitoring (ARAIM) methods are designed to use dual-frequency ionosphere-free observations. These methods assume that receiver bias is absorbed in the common receiver ...
El-Mowafy, Ahmed (2013)An advanced Receiver Autonomous Integrity Monitoring (ARAIM) approach is investigated when augmenting GPS satellites with the current regional BeiDou constellation. A procedure for integrity monitoring, including checking ...
El-Mowafy, Ahmed (2014)An Advanced Receiver Autonomous Integrity Monitoring (ARAIM) approach is applied using observations from the three GNSS systems GPS, GLONASS and BeiDou. Emphasis in this multi-constellation GNSS ARAIM is on meeting ...