[time-nuts] Re: Role of GPS for Kalman Filter
Bob Camp
kb8tq at n1k.org
Thu Feb 2 20:05:31 UTC 2023
Hi
Do you need cm level precision real time or after the fact? If you can tolerate an
âafter the factâ solution, then NRCan is your new best friend. Record the GPS data
and ship it off to them. They process it for free and back comes a very accurate
answer.
There are a number of things that get into the âjust how accurate is that?â. If post
processing is ok, they can be investigated. If this has to be real time then itâs off
the list.
You still would need to do some work to get north, east, and down.
Bob
> On Feb 2, 2023, at 2:13 PM, Mayukh Bagchi via time-nuts <time-nuts at lists.febo.com> wrote:
>
> Hello all,
>
> I am new to the world of sensor fusion and Kalman filters and especially working with GPS. I am trying to build a precise position reference package comprising a GPS module ( yet to be finalized, suggestions are welcome), accelerometers, gyroscopes, and magnetometers. The idea is to interface all of these with a Pi and run a sensor fusion (Kalman filter ) script to fuse all of these data to get a Lat, long, and True North, East, and Down.
>
> I am trying to achieve a cm level precision. The package will be flying on a balloon about ~30 km up in the stratosphere. I have talked to a few GPS companies that provide correctional services (RTK) at such altitudes but I am not sure if that kind of investment is worth it. Basically, I am trying to understand the contribution of a good GPS toward the Kalman Filter.
>
> Any help would be appreciated!
>
> Thanks,
> Mayukh
>
> Mayukh Bagchi (He/Him), MSc
> Graduate Student
> Department of Physics, Engineering Physics, and Astronomy
>
> mayukh.bagchi at queensu.ca<mailto:mayukh.bagchi at queensu.ca>
> [Queen's University Logo]<https://www.queensu.ca/>
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