My team and I are building a system to detect polar bears in the wild using radar technology. We have successfully set up a radar to receive point cloud information and track targets. However, next we are looking to see what improvements we can make to our tracking system by using machine learning. I remember hearing somewhere that the radar has different levels of filtering; the highest of which being the point cloud information. I'm looking to investigate using the lower level forms of data that the radar outputs for machine learning. What is the best approach to collect one of these levels of data? And is there a specific lower level data format that would be particularly useful for machine learning?