Very cool project! It is fascinating to see that sensor nodes can be time synchronized so well, using standard technology. That is a key precondition here. Loca

Very cool project! It is fascinating to see that sensor nodes can be time synchronized so well, using standard technology. That is a key precondition here. Localization is still quite tricky over long distances though, especially due to multi-path propagation, reflections, non-homogeneous propagation conditions from wind, inversion etc. We did some work on noise monitoring of shooting ranges / explosive training facilities, using machine learning to track sound events. This was focused on a simpler problem formulation than full localization; "did the impulsive sound event come from A) known site or B) elsewhere?". But as a precondition one also needs to solve "was there an impulsive sound event consistent with gunshot/explosion". Which in the 24/7 monitoring scenario is non-trivial, keeping the false positive rate down. I link the papers here, in case they are of interest. https://arxiv.org/abs/2107.11453 https://arxiv.org/abs/2107.11453 https://arxiv.org/abs/2108.11758 https://arxiv.org/abs/2108.11758 I don't really work on this niche anymore, but I would be happy to discuss a bit this usecase, maybe it can be helpful in getting the first efforts to automated / semi-automated analysis going. My email is in the papers, and can be found on GitHub/website etc.