Automotive Radar Interference Characterization and Reduction by Partial Coordination

In this paper, we characterize the system level effect of radar interference in terms of the probability of missed detection and the probability of false alarm for frequency modulated continuous wave (FMCW) radar sensors in a highway type automotive setting. Our results show that the probability of missed detection is significantly affected by the interference, particularly at larger distances. We also propose a central agent that uses the existing communication infrastructure to jointly assign different FMCW parameters, such as slope directions and carrier frequency offsets, to the FMCW radar units operating in its vicinity. Results from our system level simulation show that the proposed resource allocation strategy outperforms the widely reported solution to randomize the radar parameters for interference reduction.