Gross error elimination method based on Beidou navigation system
A Beidou navigation system and gross error elimination technology, applied in the field of satellite positioning, can solve problems such as low accuracy and poor reliability, and achieve the effect of improving positioning accuracy, improving accuracy, and convenient methods
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Embodiment 1
[0039] Embodiment 1: This embodiment designs a method for eliminating gross errors based on the Beidou navigation system, which is mainly applicable to complex terrain such as mountains and valleys, based on figure 1 The flow chart of the method is described in detail.
[0040] S1: Data collection
[0041] Use the Beidou third-generation navigation system that has been deployed to collect required data information including pseudorange / phase raw data, ephemeris data, receiver rough coordinates, antenna height, etc., and obtain original observation values.
[0042] S2: Data preprocessing
[0043] Based on the broadcast ephemeris, check the integrity of the original observation value obtained by S1, use the broadcast ephemeris to calculate the satellite position, and use the receiver's approximate coordinates to calculate the satellite azimuth and altitude angle information of each epoch, and The satellite line of sight information is summarized, and the continuous observation...
Embodiment 2
[0065] Embodiment 2: In this embodiment, the method in Embodiment 1 is used for actual measurement, and the 24-hour Beidou satellite observation data and its terrain environment modeling results of a valley terrain reference station and monitoring station are used. The results are as follows figure 2 As shown, the closed circular line segment in the two modeling results of the reference station and the monitoring station is the Beidou terrain environment model curve, and the inner arc line segment is the observation arc segment of the BeiDou satellite, and the quality of the observation value in these arc segments is from the inside to the outside Gradually from good to bad, it can also be seen that the Beidou terrain environment model curve of the present invention has a good degree of overlap with the edge of the arc. Therefore, a reasonable cut-off height angle e is set according to empirical values threshold Finally, through the formulas (4) and (5), the anisotropic elimin...
Embodiment 3
[0066] Embodiment 3: This embodiment is used to further verify the method of Embodiment 1 through positioning data, respectively adopting the traditional gross error elimination method as the data before model optimization, and using the gross error elimination method in Embodiment 1 as the model optimization After the data, the positioning comparison results for a total of 6 days from 2020 / 01 / 02 to 2020 / 01 / 07 are shown in Table 1:
[0067] Table 1 Comparison results of data before model optimization and data after model optimization
[0068]
[0069] It can be seen from Table 1 that before optimization, the index RMSE has improved in both 2D and U directions, and the success rate of epoch fixation has increased to more than 99% on average, greatly improving the reliability of positioning results.
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