  In automotive radar, time-domain thresholding (TD-TH) and time-frequency
domain thresholding (TFD-TH) are crucial techniques underpinning numerous
interference mitigation methods. Despite their importance, comprehensive
evaluations of these methods in dense traffic scenarios with different types of
interference are limited. In this study, we segment automotive radar
interference into three distinct categories. Utilizing the in-house traffic
scenario and automotive radar simulator, we evaluate interference mitigation
methods across multiple metrics: probability of detection,
signal-to-interference-plus-noise ratio, and phase error involving hundreds of
targets and dozens of interfering radars. The numerical results highlight that
TFD-TH is more effective than TD-TH, particularly as the density and signal
correlation of interfering radars escalate.
