Radius of curvature estimation and localization of targets using multiple sonar sensors

Date
1999-04
Authors
Barshan, B.
Sekmen, A. S.
Advisor
Supervisor
Co-Advisor
Co-Supervisor
Instructor
Source Title
Journal of the Acoustical Society of America
Print ISSN
0001-4966
Electronic ISSN
Publisher
A I P Publishing LLC
Volume
105
Issue
4
Pages
2318 - 2331
Language
English
Type
Article
Journal Title
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Volume Title
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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%.

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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
Citation
Published Version (Please cite this version)