Application of Variational Mode Decomposition to FMCW Radar Interference Mitigation

As the automotive industry progresses towards implementing advanced driver-assistance systems (ADAS) and autonomous vehicles (AVs) that involve radars, the probability of radar interference between vehicles will increase tremendously in the future. To address this issue, novel interference mitigation methods for real-time interpretation are necessary. This work presents an evaluation of variational mode decomposition (VMD) based baseband reconstruction for interference mitigation in frequency-modulated continuous-wave (FMCW) radars using a MATLAB simulation. The VMD algorithm is applied to decompose the interference-prone baseband signal into multiple frequency components. The interference generated component of the baseband signal is segregated from the interference-free baseband response. The authors find that VMD has potential for this application, with the simulation results indicating an improvement in the noise floor of the recovered interference-free baseband signal.