[time-nuts] Re: Role of GPS for Kalman Filter

[Trent Piepho]

U-Blox has GPS/IMU modules that have a built in 9-axis IMU and positioning
system.  Check out the NEO-M9V.  No need to build your own, unless that's
part of the goal.

It does have dynamic models tuned to cars, motorcycles, or electric bikes.
No balloon model.  I think you could still get a basic sensor fusion though.

On Thu, Feb 2, 2023 at 11:52 AM 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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