David, have been watching the list for a while and you may know the
answer to this.
If all I am after is relative positioning information i.e. relative to
my base station, how accurate does the base station position entered
into RTKLIB have to be, and what effect does this have on the relative
accuracy - if any?
Scott
On 2/08/2014 1:59 AM, David Kelley wrote:
David and Michael:
Sorry, coming to this thread a bit late....
I see that there are some basic posts on how this work that are
generally correct, but the 2nd process to
Or maybe I can do this. I can find the base station location(I dont know
how). Then I can put the base station receiver there which is static.
This
way I would know the amount of error because I will subtract ERROR=
(actual
base station value) - (myreceiver base station value). Then with my
final
readings with moving rover receiver I can subtract the error and it will
give me the readings with lesser error.
Is the way to do it.
You problem is then to collect (at least 4 hours, but 24 is better) of
stationary data from the base station in the position it will remain.
You can then put it into RTK with one of the tabs. [There is also a
tab in the post program to just use the first set of observations from
the base and solve that and call it perfect, good for a 1st cut and
testing]
If the base station is L1/L2 (or L5) capable, send you data to OPUS,
if it is only L1 capable then send it to the Canadian PPP service.
Use the data you get back.
www.ngs.noaa.gov/OPUS/
http://webapp.geod.nrcan.gc.ca/geod/index.php?userlang=en
http://webapp.geod.nrcan.gc.ca/geod/tools-outils/ppp.php
As I type this (08/01/2014 at 15:40:10 UTC) the OPUS site appears to
be down. The NRCAN site requires a sign up, which is easy. Both of
these should be part of your basic set of tools.
A very interesting experiment for people learning about all this to do
is the run two copies of RTK nave on the two GNSS devices, both in
autonomous mode ("single in RTKLIB terms) and watch the two plots
evolving. You will easily see that both devices are influences the
same effects and tend to wonder together. This is great graphical
way to show people the "differentiable" aspects of the process.
Regards,
David Kelley
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