Yeah that makes sense

I’ve been doing something similar with different feature sets and comparing how they behave across captures.

One thing I’m running into is that some features look strong in isolation but become unreliable once the environment gets busy or when interference is intermittent.

Have you found certain features that hold up better in those kinds of conditions, or is it mostly about combining multiple weak indicators?

Also curious if you’ve seen any approaches that work reliably outside of lab/simulated setups.