An evaluation of estimators for receiver detection probabilities and unknown signal population size

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Authors
Hendrickx, David Scott
Advisors
Barr, Donald R.
Second Readers
Larsen, Harold
Subjects
Detection probability
Sensor data
Maximum likelihood
Least squares
Method of moments
Date of Issue
1981-09
Date
September 1981
Publisher
Monterey, California. Naval Postgraduate School
Language
en_US
Abstract
Imagine a signal acquisition system composed of a number of receivers or sensors concurrently scanning the same domain for signals. It is reasonable to expect that different signals will each be detected by a different subset of receivers over the scanning period. Using the data collected from the receivers, it is possible to esĀ­timate the total signal population size including those signals not detected by any receiver. Additionally, it is possible to estimate the probability each individual receiver detects signals. Several estimators are developed for these quantities in the context of a model designed to represent the signal detection process. This model forms the basis for a simulation conducted to analyze the behavior of the estimators over a variety of conditions.
Type
Thesis
Description
Series/Report No
Department
Operations Research
Organization
Naval Postgraduate School (U.S.)
Identifiers
NPS Report Number
Sponsors
Funding
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.
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