PMCW Waveform Cross-correlation Characterization and Interference Mitigation

With the increasing use of automotive radars for assisted and autonomous driving, future cars will typically be equipped with more and more radars, covering 360° around the car. LRR radars at 77GHz and MRR/SRR/USRR at 79GHz will create a significant amount of mutual interference, reducing the radar sensitivity or creating false alarms, both impacts being highly undesirable. We consider PMCW waveforms, especially APS and m-sequences, and analyze how their auto-and cross-correlation properties impact the radar performance and can be used to reduce the amount of received or created interference. Our approach is partly analytical and partly simulation-based. This work shows that a significant reduction of the degradations is possible by a suitable sequence selection strategy.