LeafLabs has helped address challenging bugs around gaps in detection through targeted FPGA updates.

LeafLabs worked with Google to assess chronic and persistent bugs in their radar detection system. They were seeing unexplained gaps in their directional radar detection that confounded a previous outside consultant. 

LeafLabs believed that the quickest path to identifying and executing a fix was to build out the existing simulation infrastructure.  Working in simulation allowed better visibility into the design details which aided in the understanding of how the system functions, and offered the best chance of providing a robust solution.

LeafLabs engineers came up to speed on the system by reproducing the problem in hardware using a signal generator provided by the client.  LeafLabs then worked to recreate the issue in a simulated environment, identified the issue, proposed and implemented a suitable solution, and lastly, verified that the design works as intended on true hardware in the field.