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Estimation of Sensor Detection Probabilities with Data from Concurrent Sensors

dc.contributor.authorBarr, D.R.
dc.date.accessioned2019-09-12T18:17:53Z
dc.date.available2019-09-12T18:17:53Z
dc.date.issued1981-08
dc.identifier.urihttp://hdl.handle.net/10945/63223
dc.descriptionPrepared for: Chief of Naval Research (Code 521) 800 North Quincy Street Arlington, Virginia 22217
dc.description.abstractWhen several sensors are concurrently scanning the same domain for signals, varying numbers of sensors may detect each signal. On some occasions, a signal may not be detected by any of the receivers. Using detection data collected from all the receivers over a period of scanning, it is possible to estimate the total number of signals that occurred in that period (including those that were not detected at all), as well as the detection prob- abilities for the individual receivers. Several estimator for these quantities are developed, in the contexts of several models concerning the signal generation process and the receiver behavior.
dc.publisherMonterey, California. Naval Postgraduate Schoolen_US
dc.rightsThis publication is a work of the U.S. Government as defined in Title 17, United States Code, Section 101. Copyright protection is not available for this work in the United States.en_US
dc.titleEstimation of Sensor Detection Probabilities with Data from Concurrent Sensorsen_US
dc.typeTechnical Reporten_US
dc.contributor.departmentOperations Research (OR)
dc.subject.authormethod of moments
dc.subject.authordetection probability
dc.subject.authorintraclass correlation
dc.subject.authorsensor data
dc.subject.authorleast squares
dc.subject.authormaximum likelihood
dc.identifier.npsreportNPS55-81-014
dc.description.distributionstatementApproved for public release; distribution is unlimited.


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