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RTKCONV regression about rtklib HOT 4 CLOSED

rtklibexplorer avatar rtklibexplorer commented on July 21, 2024
RTKCONV regression

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Comments (4)

rtklibexplorer avatar rtklibexplorer commented on July 21, 2024

This should be OK. My original change from L1X to L1C in ublox.c made Galileo work but was not really correct since the code type was not actually L1C. A couple changes back I added L1X to the list of valid codes in convrnx.c for ublox so the original version of ublox.c should now work. I just tested it again with RTKCONV and it looks OK. Is it possible you did not have Galileo selected in the options menu when you ran RTKCONV?

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GPSFan avatar GPSFan commented on July 21, 2024

That must have been the problem, I could have sworn that I verified that it was checked before I posted this issue. Sorry for the noise. I just re-ran my .ubx through rtkconv and it produced the expected Galileo data. I've been trying to track down an issue I'm seeing with the same data & corrections producing results that differ by 5cm or so depending on variations in parameters. I could understand 20cm or larger being due false AR fix. Unfortunately I don't have a benchmark anywhere close, and my nearest CORS is 25+ km away. Sitting on a point I get +/- 1cm variations, but run the same data again with slightly different parameters and the whole dataset is off by 2-7 cm. Maybe it's just toooo long a baseline. Anyway thanks for the help.

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GPSFan avatar GPSFan commented on July 21, 2024

That must have been the problem, I could have sworn that I verified that it was checked before I posted this issue. Sorry for the noise. I just re-ran my .ubx through rtkconv and it produced the expected Galileo data. I've been trying to track down an issue I'm seeing with the same data & corrections producing results that differ by 5cm or so depending on variations in parameters. I could understand 20cm or larger being due false AR fix. Unfortunately I don't have a benchmark anywhere close, and my nearest CORS is 25+ km away. Sitting on a point I get +/- 1cm variations, but run the same data again with slightly different parameters and the whole dataset is off by 2-7 cm. Maybe it's just toooo long a baseline. Anyway thanks for the help.

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rtklibexplorer avatar rtklibexplorer commented on July 21, 2024

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