• DocumentCode
    1368646
  • Title

    Differentiating sonar reflections from corners and planes by employing an intelligent sensor

  • Author

    Barshan, Billur ; Kuc, Roman

  • Author_Institution
    Dept. of Electr. Eng., Yale Univ., New Haven, CT, USA
  • Volume
    12
  • Issue
    6
  • fYear
    1990
  • fDate
    6/1/1990 12:00:00 AM
  • Firstpage
    560
  • Lastpage
    569
  • Abstract
    A multitransducer, pulse/echo-ranging system is described that differentiates corner and plane reflectors by exploiting the physical properties of sound propagation. The amplitudes and ranges of reflected signals for the different transmitter and receiver pairs are processed to determine whether the reflecting object is a plane or a right-angle corner. In addition, the angle of inclination of the reflector with respect to the transducer orientation can be measured. Reflected signal amplitude and range values, as functions of inclination angle, provide the motivation for the differentiation algorithm. A system using two Polaroid transducers is described that correctly discriminates between corners and planes for inclination angles within ±10° of the transducer orientation. The two-transducer system is extended to a multitransducer array, allowing the system to operate over an extended range. An analysis comparing processing effort to estimation accuracy is performed
  • Keywords
    artificial intelligence; pattern recognition; signal processing; sonar; Polaroid transducers; corners; intelligent sensor; multitransducer pulse echo ranging system; planes; sonar reflections; sound propagation; Acoustic propagation; Acoustic reflection; Acoustic transducers; Apertures; Intelligent sensors; Performance analysis; Robot sensing systems; Signal processing; Signal processing algorithms; Sonar; Sonar applications; Sonar navigation; Transmitters;
  • fLanguage
    English
  • Journal_Title
    Pattern Analysis and Machine Intelligence, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0162-8828
  • Type

    jour

  • DOI
    10.1109/34.56192
  • Filename
    56192