hirokawa / cssrlib-data Goto Github PK
View Code? Open in Web Editor NEWSample scripts and dataset for CSSRlib
License: Other
Sample scripts and dataset for CSSRlib
License: Other
Dear Dr.hirokawa:
It's my great pleasure to communicate with you. I'm a postgraduate student studying BDS-PPP, my name is Ruite Yi. Thank you for open-sourcing this code, which will surely play a key role in research on SSR-PPP!
You gave the data of PPP-B2b in the BDSPPP part of your codes. May I ask what receiver you use to receive your data, so that I can read the parameters in the data? To my knowledge, the PPP-B2b message is binary, but the data you provide looks like ASCII and hexadecimal. I am using Sino K803 Kits, its output is ".cnb" binary file, it can decode the data into 4 text files of different data types respectively,but I can't convert the data to the same as example.
Thank you! May I wish all the best with your research.
Ruite Yi
2023/10/31
Dear Hirokawa,
First of all, thank you for your work on CSSRLib.
I have a question regarding the library: Can CSSRLib convert parsed PPP corrections (in Galileo HAS or BDS HAS format) to RTCM-SSR? Additionally, I noticed that some classes in the newly added test_ppphas module, such as cssrlib.cssr_has and cssrlib.pppssr, are missing from the CSSRLib library. Could you provide more information on this? Finally, I was wondering what the format of the sample data for Galileo HAS and BDS-PPPB2B is.
Thank you for your time and contribution to the community.
Dear Dr Hirokawa,
I tried to decode septentrio sbf files using your decode_sbf.py. However, the obtained corrections have different format compared to the examples. It would greatly appreciated if you could provide some hints on how to generate the required correction file format.
The example corrections:
2274 511174 59 6 64 126a80490040011000440011000440011000440011000580f71000582f5e046c81de3fa98400110004806a10006801f1000680de2003c4001002c219bc000000
My decoded corrections:
2274 511174 59 34 124 ec00e6a4f48c4101eec3f825f969e2abe8cfe871ec180002180ce81d002d1241a751d671e78201c00012407470f5c175ea7952fad3fb0c7bee00003a0a0b08a11df2ad59b49097eea8633c2ffa35f2e76c348424217d36cf066c1b2f520c9e7f65e2d92653cc8d724a2988d2da632e127bbeeb0a0285bcda787f2100
Many thanks
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