Title:
An ionospheric remote sensing method using an array of narrowband VLF transmitters and receivers

dc.contributor.advisor Cohen, Morris B.
dc.contributor.author Gross, Nicholas
dc.contributor.committeeMember Simon, Sven
dc.contributor.committeeMember Davenport, Mark
dc.contributor.committeeMember Steffes, Paul
dc.contributor.committeeMember Golkowski, Mark
dc.contributor.department Electrical and Computer Engineering
dc.date.accessioned 2019-01-16T17:23:28Z
dc.date.available 2019-01-16T17:23:28Z
dc.date.created 2018-12
dc.date.issued 2018-10-31
dc.date.submitted December 2018
dc.date.updated 2019-01-16T17:23:28Z
dc.description.abstract Narrowband very low frequency (VLF) remote sensing has proven to be a useful tool for characterizing the ionosphere's D-region (60 to 90 km altitude) electron density profile. VLF remote sensing experiments typically use a single narrowband VLF transmitter and receiver pair to determine a widely used two-parameter (known as waveguide parameters) exponential electron density profile. Inference of this profile with a single transmitter and receiver pair reveals temporal characteristics of the D-region, however, more than one transmitter and receiver pair are needed to deduce spatial D-region properties. This work expands upon single transmitter and receiver electron density profile inference methods to create a more generalized narrowband VLF remote sensing method that concurrently resolves the two-parameter electron density profile along an arbitrary number of transmitter and receiver paths. A target function is constructed to take in a single time step of narrowband amplitude and phase observations from an arbitrary number of transmitter and receiver combinations and return the inferred waveguide parameters along all paths. The target function is approximated using an artificial neural network (ANN). Synthetic training data is generated using the US Navy's Long-Wavelength Propagation Capability (LWPC) program, which is then used to train the ANN. Real-world performance of the ANN is measured in two ways. First, ANN inferred waveguide parameters are compared to a variety of previously published narrowband VLF remote sensing experiments. Second, ANN inferred waveguide parameters are used in LWPC to predict narrowband VLF amplitude and carrier phase at a receiver that was withheld when performing the waveguide parameter inference. Results show the approximated target function performs well in capturing temporal and spatial characteristics of the D-region.
dc.description.degree Ph.D.
dc.format.mimetype application/pdf
dc.identifier.uri http://hdl.handle.net/1853/60763
dc.language.iso en_US
dc.publisher Georgia Institute of Technology
dc.subject Very low frequency
dc.subject VLF
dc.subject Ionosphere
dc.subject D region
dc.subject Remote sensing
dc.subject Waveguide
dc.subject Narrowband
dc.subject MSK
dc.subject Neural network
dc.subject Synthetic data
dc.title An ionospheric remote sensing method using an array of narrowband VLF transmitters and receivers
dc.type Text
dc.type.genre Dissertation
dspace.entity.type Publication
local.contributor.advisor Cohen, Morris B.
local.contributor.corporatename School of Electrical and Computer Engineering
local.contributor.corporatename College of Engineering
relation.isAdvisorOfPublication cbbe3a9a-e409-439e-bb9f-dc199934e71a
relation.isOrgUnitOfPublication 5b7adef2-447c-4270-b9fc-846bd76f80f2
relation.isOrgUnitOfPublication 7c022d60-21d5-497c-b552-95e489a06569
thesis.degree.level Doctoral
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