Please use this identifier to cite or link to this item: https://hdl.handle.net/11681/28016
Title: Impact of Parametric Uncertainties on Scattered Signal Distributions and Receiver Operating Characteristics
Authors: Wilson, D. Keith
Breton, Daniel J.
Hart, Carl R.
Ostashev, Vladimir E.
Nykaza, Edward T.
Pettit, Chris L.
Keywords: Battlefield signal propagation
Electromagnetic waves
Parametric uncertainties
Receiver operating characteristic
Scattering (Physics)
Seismic waves
Sensor performance
Signal processing
Sound-waves
Wave scattering
Publisher: Cold Regions Research and Engineering Laboratory (U.S.)
Construction Engineering Research Laboratory (U.S.)
Series/Report no.: Technical Report (Engineer Research and Development Center (U.S.) );no.ERDC TR-18-7
Abstract: Many different distributions are used to model statistics of waves that have been randomly scattered in atmospheric and terrain environments. These distributions have varying analytical advantages and ranges of physical applicability. This report reviews several basic distributions and discusses how they can be extended to include spatial and temporal variability in the scattering process. For this purpose, a compound probability density function (pdf) can be introduced in which a basic pdf describing the underlying scattering process is modulated by a second pdf describing parametric uncertainties in the scattering. We describe some useful new formulations based on the compound pdf, including strong and Rytov (lognormal) scattering processes modulated by the environment. These new formulations lead to relatively simple marginalized signal power distributions (Lomax and lognormal, respectively). Furthermore, we show how the conditional scattered signal pdf may be viewed as a likelihood function in which the modulating pdf is the Bayesian conjugate prior. The parameters of the modulating process can thus be refined by simple sequential Bayesian updating. Finally, the impact of the parametric uncertainties on signal detection and receiver operating characteristic curves is discussed and shown to be a very important consideration in practical applications.
Description: Technical Report
Gov't Doc #: ERDC TR-18-7
Rights: Approved for public release; distribution is unlimited
URI: http://hdl.handle.net/11681/28016
http://dx.doi.org/10.21079/11681/28016
Appears in Collections:Technical Report

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