Assessment of RF interference mitigation methods for automotive radars using real data

The increased use of autonomous vehicles on the roads leads to the appearance of mutual interference between the radars, a fact that determines a growing number of the proposed RFI mitigation and avoidance algorithms. This paper analyzes the performance of state-of-the-art interference mitigation al-gorithms for FMCW chirp sequences using a set of real data acquired with a DCA1000 evaluation module and two AWR1843 Single-Chip 77- to 79-GHz FMCW Radar Sensors manufactured by Texas Instruments (one sensor is used like interferer source and the second one is used like victim radar) for scenarios with different type of interferences (correlated and uncorrelated) and different power levels of the interference signals.