Moving Target Detection Using the 2D-FFT Algorithm for Automotive FMCW Radars

The FMCW (frequency modulated continuous wave) automotive radar has been widely used in the advanced driving assistant system of vehicles. The basic idea of FMCW automotive radar is to obtain the range and velocity information from the beat signal. However, the information extracted from one frequency ramp will suffer from the range-velocity ambiguity problem. In this paper, several subsequent ramps have been generated to eliminate this ambiguity and a two dimensional FFT algorithm for the FMCW radar is presented. The parameters of FMCW signal are derived mathematically. An experiment in actual traffic environment is conducted and the offline raw radar data are captured by using the AWR1642BOOST. The data processed by MATLAB shows that the 2D FFT algorithm can obtain the range and velocity information of moving targets without ambiguity.