Development of HW/SW Platform for Real-Time Tests of Radar Front-End Module for Radar Machine Learning

Abstract

In this paper, we developed a hardware and software platform of a real-time data logging system to verify radar front-end module (FEM) and signal-processing algorithms. We developed the hardware platform based on a field-programmable gate array (FPGA) and digital signal processor (DSP) and implemented firmware software to verify the various FEMs. Moreover, we designed a PC-based software platform to control radar logging parameters and acquired radar data. The developed platform was verified using a 24-GHz multiple-channel frequency-modulated continuous wave (FMCW) FEM in an environment of stationary and moving targets in a test chamber. Moreover, we verified human classification based on machine learning algorithm using the real measurement data.