The Embedded Implementation of Millimeter Wave Radar Signal Processing System

The paper designed a radar signal processing system in order to help the intelligent vehicle to recognize the surrounding environment. Firstly, a hardware platform was designed to filter and amplify the output signal from radar using TMS320F28335 as the main controller. The hardware platform can also supply modulation signal to the radar. Then the radar signal processing algorithm was designed to recognize the targets in front of the radar. In the algorithm, FFT and Chirp-z were used to determine the peaks’ frequency of the targets. And the CFAR algorithm was used to remove the interference of environmental factors. What’s more, the peaks match algorithm and false targets exclude algorithm were used to avoid false alarm and missing alarm. Finally, the algorithm was programmed in C language and downloaded to the hardware circuit to do some test. The test results show that the millimeter-wave radar signal processing system designed in this paper successfully realizes the calculation of the distance, velocity and direction of the targets.