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      • Department of Electrical and Electronics Engineering
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      Radius of curvature estimation and localization of targets using multiple sonar sensors

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      Author(s)
      Barshan, B.
      Sekmen, A. S.
      Date
      1999-04
      Source Title
      Journal of the Acoustical Society of America
      Print ISSN
      0001-4966
      Publisher
      A I P Publishing LLC
      Volume
      105
      Issue
      4
      Pages
      2318 - 2331
      Language
      English
      Type
      Article
      Item Usage Stats
      202
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      227
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      Abstract
      Acoustic sensors have been widely used in time-of-flight ranging systems since they are inexpensive and convenient to use. One of the most important limitations of these sensors is their low angular resolution. To improve the angular resolution and the accuracy, a novel, flexible, and adaptive three- dimensional (3-D) multi-sensor sonar system is described for estimating the radius of curvature and location of cylindrical and spherical targets. Point, line, and planar targets are included as limiting cases which are important for the characterization of typical environments. Sensitivity analysis of the curvature estimate with respect to measurement errors and certain system parameters is provided. The analysis and the simulations are verified by experiments in 2-D with specularly reflecting cylindrical and planar targets, using a real sonar system. Typical accuracies in range and azimuth are 0.18 mm and 0.1°, respectively. Accuracy of the curvature estimation depends on the target type and system parameters such as transducer separation and operating range. The adaptive configuration brings an improvement varying between 35% and 45% in the accuracy of the curvature estimate. The presented results are useful for target differentiation and tracking applications.A flexible and adaptive three-dimensional multisensor sonar system capable of estimating the location and radius of curvature of spherical and cylindrical targets is presented. The performance radius of curvature estimation is analyzed to provide information for differentiating reflectors with different radii. Results showed that the adaptive configuration improved the accuracy of the curvature estimate between 35% and 45%.
      Keywords
      Acoustic wave reflection
      Computational geometry
      Mathematical models
      Measurement errors
      Monte Carlo methods
      Sensitivity analysis
      Sensor data fusion
      Signal to noise ratio
      Sonar
      Multisensor sonar systems
      Target reflection geometry
      Time of flight (TOF) estimation
      Ultrasonic transducers
      Accuracy
      Acoustics
      Echolocation
      Permalink
      http://hdl.handle.net/11693/25250
      Published Version (Please cite this version)
      http://dx.doi.org/10.1121/1.426838
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      • Department of Electrical and Electronics Engineering 4011
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