Yeah this is why you'd use UWB -- the capacity is insane. Also the raw information theory calculation makes sense only if you have zero prior information about the sample you're reconstructing. But 'people in buildings' is a pretty strong prior. And it's not like you have to do any extra work, just put a simulated raw signal through a neural net and regress to groundtruth data.

But let's do the math, I'm curious!