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

dc.citation.epage2331en_US
dc.citation.issueNumber4en_US
dc.citation.spage2318en_US
dc.citation.volumeNumber105en_US
dc.contributor.authorBarshan, B.en_US
dc.contributor.authorSekmen, A. S.en_US
dc.date.accessioned2016-02-08T10:41:29Z
dc.date.available2016-02-08T10:41:29Z
dc.date.issued1999-04en_US
dc.departmentDepartment of Electrical and Electronics Engineeringen_US
dc.description.abstractAcoustic 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%.en_US
dc.description.provenanceMade available in DSpace on 2016-02-08T10:41:29Z (GMT). No. of bitstreams: 1 bilkent-research-paper.pdf: 70227 bytes, checksum: 26e812c6f5156f83f0e77b261a471b5a (MD5) Previous issue date: 1999en
dc.identifier.doi10.1121/1.426838en_US
dc.identifier.issn0001-4966
dc.identifier.urihttp://hdl.handle.net/11693/25250
dc.language.isoEnglishen_US
dc.publisherA I P Publishing LLCen_US
dc.relation.isversionofhttp://dx.doi.org/10.1121/1.426838en_US
dc.source.titleJournal of the Acoustical Society of Americaen_US
dc.subjectAcoustic wave reflectionen_US
dc.subjectComputational geometryen_US
dc.subjectMathematical modelsen_US
dc.subjectMeasurement errorsen_US
dc.subjectMonte Carlo methodsen_US
dc.subjectSensitivity analysisen_US
dc.subjectSensor data fusionen_US
dc.subjectSignal to noise ratioen_US
dc.subjectSonaren_US
dc.subjectMultisensor sonar systemsen_US
dc.subjectTarget reflection geometryen_US
dc.subjectTime of flight (TOF) estimationen_US
dc.subjectUltrasonic transducersen_US
dc.subjectAccuracyen_US
dc.subjectAcousticsen_US
dc.subjectEcholocationen_US
dc.titleRadius of curvature estimation and localization of targets using multiple sonar sensorsen_US
dc.typeArticleen_US

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