An Adaptive Interference Detection and Suppression Scheme Using Iterative Processing for Automotive FMCW Radars

Millimeter-wave FMCW (Frequency Modulated Continuous Wave) radar is expected to be widely used for ADAS (Advanced Driver Assistance System) and automatic driving car. Dense deployment of FMCW radars causes serious inter-radar interference resulting in miss-detection and/or false detection of the targets. As there are various interference environments, adaptive inter-radar interference detection and suppression is required. This paper proposes an adaptive interference detection and suppression scheme based on iterative processing for automotive FMCW radars. The proposed scheme detects the wide band interference using adaptive interference detection threshold control and suppresses it using adaptive interference suppression windowing width control in order to improve SNR (Signal to Noise power Ratio). Computer simulation is conducted to validate the proposed scheme and the results confirm the proposed scheme can improve SNR in various interference environments.