PMCW Waveform Cross-correlation Characterization and Interference Mitigation
André Bourdoux, Marc Bauduin
Abstract
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.