Modeling of signal propagation and sensor performance for infrasound and blast noise

Glaser, Danney R.; Wilson, D. Keith; Waldrop, Lauren E.; Hart, Carl R.; White, Michael J.; Nykaza, Edward T.; Swearingen, Michelle E.

doi:10.1117/12.2262683

Cited by 2 publications

(2 citation statements)

References 5 publications

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“…The BNOISEMedia class, which extends AcousticMediaVert, also includes the Pasquill-Gifford stability class, wind speed, and wind direction, as needed for the table lookup. Examples of BNOISE predictions as implemented in EASEE can be found in Glaser et al (2017).…”

Section: Bnoise Modelmentioning

confidence: 99%

Signal propagation modeling in complex, three-dimensional environments

Wilson¹,

Breton²,

Waldrop³

et al. 2021

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The Signal Physics Representation in Uncertain and Complex Environments (SPRUCE) work unit, part of the U.S. Army Engineer Research and Development Center (ERDC) Army Terrestrial-Environmental Modeling and Intelligence System (ARTEMIS) work package, focused on the creation of a suite of three-dimensional (3D) signal and sensor performance modeling capabilities that realistically capture propagation physics in urban, mountainous, forested, and other complex terrain environments. This report describes many of the developed technical capabilities. Particular highlights are (1) creation of a Java environmental data abstraction layer for 3D representation of the atmosphere and inhomogeneous terrain that ingests data from many common weather forecast models and terrain data formats, (2) extensions to the Environmental Awareness for Sensor and Emitter Employment (EASEE) software to enable 3D signal propagation modeling, (3) modeling of transmitter and receiver directivity functions in 3D including rotations of the transmitter and receiver platforms, (4) an Extensible Markup Language/JavaScript Object Notation (XML/JSON) interface to facilitate deployment of web services, (5) signal feature definitions and other support for infrasound modeling and for radio-frequency (RF) modeling in the very high frequency (VHF), ultra-high frequency (UHF), and super-high frequency (SHF) frequency ranges, and (6) probabilistic calculations for line-of-sight in complex terrain and vegetation.

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Section: Bnoise Modelmentioning

confidence: 99%

Signal propagation modeling in complex, three-dimensional environments

Wilson¹,

Breton²,

Waldrop³

et al. 2021

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“…Also in FY17, a substantial expansion of weather assimilation capabilities in EASEE was undertaken to support ingestion of data from the 3-D WRF and GALWEM model forecasts and the loading and performing calculations on weather forecast ensembles. Infrasound calculations were also incorporated into EASEE (Glaser et al 2017) as were the automated backpropagation (compensation for the source-receiver geometry) and denoising of signature data, thus enabling nonexpert users to incorporate their signature data collections. This new capability was applied to a data collection at Marine Base Quantico on two small unattended aerial vehicles, namely the Phantom quadcopter and the Parrott Discovery, thus enabling the application of EASEE to the growing practical threat of these small unmanned aircraft systems.…”

Section: Improved Acoustics In Easeementioning

confidence: 99%

Army Terrestrial Environmental Modeling and Intelligence System, ARTEMIS

Eylander¹,

Shoop²,

Deeb³

et al. 2020

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The U.S. Army Engineer Research and Development Center (ERDC) solves the nation's toughest engineering and environmental challenges. ERDC develops innovative solutions in civil and military engineering, geospatial sciences, water resources, and environmental sciences for the Army, the Department of Defense, civilian agencies, and our nation's public good. Find out more at www.erdc.usace.army.mil. To search for other technical reports published by ERDC, visit the ERDC online library at http://acwc.sdp.sirsi.net/client/default.

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Modeling of signal propagation and sensor performance for infrasound and blast noise

Cited by 2 publications

References 5 publications

Signal propagation modeling in complex, three-dimensional environments

Signal propagation modeling in complex, three-dimensional environments

Army Terrestrial Environmental Modeling and Intelligence System, ARTEMIS

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