Estimation of Sensor Detection Probabilities with Data from Concurrent Sensors
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Authors
Barr, D.R.
Subjects
method of moments
detection probability
intraclass correlation
sensor data
least squares
maximum likelihood
detection probability
intraclass correlation
sensor data
least squares
maximum likelihood
Advisors
Date of Issue
1981-08
Date
Publisher
Monterey, California. Naval Postgraduate School
Language
Abstract
When 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.
Type
Technical Report
Description
Prepared for: Chief of Naval Research (Code 521)
800 North Quincy Street Arlington, Virginia 22217
Series/Report No
Department
Operations Research (OR)
Organization
Identifiers
NPS Report Number
NPS55-81-014
Sponsors
Funder
Format
Citation
Distribution Statement
Approved for public release; distribution is unlimited.
Rights
This 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.