• DocumentCode
    3564585
  • Title

    Detection probability of automotive radars using maximum length sequences to suppress interference from nearby radars

  • Author

    Kato, Hiroshi ; Kobayashi, Takehiko

  • Author_Institution
    Wireless Syst. Lab., Tokyo Denki Univ., Tokyo, Japan
  • fYear
    2014
  • Firstpage
    396
  • Lastpage
    400
  • Abstract
    Ultra wideband (UWB) automotive radars, less expensive than conventional millimeter-wave radars, have attracted attention from the viewpoint of reducing traffic accidents. The performance of automotive radars is degraded by interference from nearby radars operating at the same frequency. We assumed a scenario where two cars pass each other on a road. The desired-to-undesired signal power ratio (DUR) was found to vary approximately from -10 to 30 dB when employing cross polarization. Allocation of different maximum length sequences to different radars facilitates suppression of interference from other radars. Probabilities of false alarm (Pfa) and detection of the passing car (Pd) were evaluated by simulation. It was found that Pd = 0.995 and 0.993 for Pfa = 10-2 and 10-4, respectively, when DUR = -10 dB (the worst prediction).
  • Keywords
    automobiles; electromagnetic wave polarisation; interference suppression; object detection; probability; radar detection; road traffic; road vehicle radar; ultra wideband radar; DUR; UWB automotive radar detection probability; cross polarization; desired-to-undesired signal power ratio; false alarm probability; interference suppression; maximum length sequence allocation; passing car detection; traffic accident reduction; ultra wideband automotive radar detection probability; Automotive engineering; Correlation; Interference; Receivers; Roads; Ultra wideband radar; Radar; detection probability; false alarm probability; interference suppression; maximum length sequences;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Aerospace and Electronics Conference, NAECON 2014 - IEEE National
  • Print_ISBN
    978-1-4799-4690-7
  • Type

    conf

  • DOI
    10.1109/NAECON.2014.7045843
  • Filename
    7045843