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Mark Wickert
Chiranth Siddappa

CAF Implementation on FGPA Using Python Tools

The CAF has many practical applications, the more traditional being radar and sonar type systems. The computational result is used to determine the location of an object given the response returned off the object using a frequency delay offset and a time delay offset. This project provides an implementation of the CAF that can compute the result in real time. The processing for this system will be done on a PYNQ board developed by Xilinx interfacing using the Jupyter notebook on a RTOS. The modules implemented in this project are reconfigurable to support the deployment to multiple devices.