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POD question-More stations and GEC #114

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xbwcsu opened this issue Oct 23, 2024 · 1 comment
Open

POD question-More stations and GEC #114

xbwcsu opened this issue Oct 23, 2024 · 1 comment
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@xbwcsu
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xbwcsu commented Oct 23, 2024

Describe the bug
More stations and GEC take too long,and the Accuracy is less than ideal compared to single-system GPS
To Reproduce
Thank you very much for the open source contribution of ginan, which enables me to learn POD in detail and systematically. However, I have several problems during debugging, and I would like to consult the respected Ginan staff. First, I updated the data with the script of ginan based on the default pod_example configuration. bowxing.yaml was set up to accommodate multiple systems. GPS clock_codes [L1C,L2W] GAL: clock_codes [L1C,L5Q] BDS: clock_codes: [L2I,L6I], others maintain the default configuration for the data dated 2019 DOY199. However, I used DOY214 in 2024 as the number of IGS WUM stations and corresponding stations to check the precision orbit (SP3) comparison accuracy of Ginan and IGS wum under the same station and system, but found several problems. It took too long to process the 5min sampling rate, and it took 23 minutes. The total time is more than 10h (I think it is too long to interrupt it in the middle, I guess it may be more), and the rts filter file generated in the middle may be 70-100G. I am sure that I am changing the configuration only involving files and frequencies, and I would like to ask whether it is reasonable to spend time on multiple systems? Is there any other details that need to be modified? Because I see that the latest mannual is 2 years ago, I have to modify the configuration of multi-system by referring to the configuration of multi-system PPP, for fear that there may be something missing. Finally, I would like to ask if it is convenient to provide multi-system pod configuration for comparison. I believe it can provide great help for beginners to learn ginan.

Expected behavior
I want to compare and test the number of stations and stations corresponding to the precision product SP3 of IGS analysis Center WUM, and I want to see the accuracy of each system of Ginan and other IGS institutions under the same number of stations.

Configuration files
pod_example.yaml to Year 2024 DOY214 just change bowxing.yaml 、sys_options GPS to GEC and clock_codes

Screenshots

Operating environment (please complete the following information):

  • OS: [Linux]
  • Version of Ginan:3.01 and 3.0.0
  • Library used (Boost, Eigen, ...)

These may be found in the 'Compilation details' section of the pea's output.

Additional context
Add any other context about the problem here.
Or I hope to provide a case of multi-system pod for my reference and comparison adjustment, because I see that bowxing does not involve parameters of other systems, and I refer to other software and official website parameters for configuration modification.
fig_01
fig_02
fig_03
fig_04

@seballgeyer
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Thank you for detailing the issues you're experiencing with Ginan, particularly the extended processing time and accuracy concerns when using multiple systems. It's clear that you've put significant effort into setting up your configurations for the multi-system analysis.

A slowdown when processing multiple systems is generally expected due to the increased complexity and volume of data involved. Each additional system requires more computations, which can significantly extend processing time. However, to ensure there aren't any specific issues with your setup, it would be helpful to examine the input files and any other relevant data that might not be accessible through the standard channels.

Could you please send us your input files and any additional data that could assist us in diagnosing the problem? If you prefer, you can email them directly to me ([email protected]). Additionally, if you have any specific configurations or settings that you suspect might be affecting performance, feel free to share those as well. This information will help us provide more tailored guidance and potentially streamline your processing times.

Thank you for your contributions, and I look forward to assisting you further!
Sebastien

@seballgeyer seballgeyer self-assigned this Oct 23, 2024
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