PMCW Waveform Cross-correlation Characterization and Interference Mitigation

التفاصيل البيبلوغرافية
العنوان: PMCW Waveform Cross-correlation Characterization and Interference Mitigation
المؤلفون: Andre Bourdoux, Marc Bauduin
المصدر: European Radar Conference (EuRAD)
سنة النشر: 2021
مصطلحات موضوعية: 010504 meteorology & atmospheric sciences, Cross-correlation, Computer science, business.industry, Automotive industry, ComputerApplications_COMPUTERSINOTHERSYSTEMS, 020206 networking & telecommunications, 02 engineering and technology, Interference (wave propagation), 01 natural sciences, law.invention, Reduction (complexity), law, 0202 electrical engineering, electronic engineering, information engineering, Electronic engineering, Waveform, Sensitivity (control systems), Radar, business, 0105 earth and related environmental sciences, Waveform cross correlation
الوصف: 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.
DOI: 10.1109/eurad48048.2021.00051
URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::56cac2572a5e3664570d3797d17a5c48
رقم الأكسشن: edsair.doi.dedup.....56cac2572a5e3664570d3797d17a5c48
قاعدة البيانات: OpenAIRE
الوصف
DOI:10.1109/eurad48048.2021.00051