Evaluation of topside equatorial spread F spectra estimators using Monte Carlo simulations

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Radar observations typically employ periodic pulses to study any target. This scheme allows a simple processing of the data but the results frequently shows range or frequency aliasing. In order to solve this problem Uppala and Sahr [1] introduced the aperiodic technique (AT) in the radio science co...

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Detalles Bibliográficos
Autores: Galindo, F. R., Kuyeng, K. M., Chau Chong Shing, Jorge Luis, Hysell, D. L.
Formato: objeto de conferencia
Fecha de Publicación:2008
Institución:Instituto Geofísico del Perú
Repositorio:IGP-Institucional
Lenguaje:inglés
OAI Identifier:oai:repositorio.igp.gob.pe:20.500.12816/3818
Enlace del recurso:http://hdl.handle.net/20.500.12816/3818
Nivel de acceso:acceso abierto
Materia:Ionosphere
Radar
Atmospheric dispersion
Atmosphere
http://purl.org/pe-repo/ocde/ford#1.05.01
http://purl.org/pe-repo/ocde/ford#1.05.00
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spelling Galindo, F. R.Kuyeng, K. M.Chau Chong Shing, Jorge LuisHysell, D. L.2018-11-22T18:14:40Z2018-11-22T18:14:40Z2008http://hdl.handle.net/20.500.12816/3818Radar observations typically employ periodic pulses to study any target. This scheme allows a simple processing of the data but the results frequently shows range or frequency aliasing. In order to solve this problem Uppala and Sahr [1] introduced the aperiodic technique (AT) in the radio science community. The AT is based on transmitting pulses at non uniform intervals and allows to study moderately overspread targets. Some equatorial Spread F (ESF) echoes belong to this category, particularly those from the topside. Using this idea Jicamarca Radio Observatory (JRO) has done a couple of experiments to study ESF echoes. Chau et al [2] used the Fast Fourier Transform (FFT) to compute spectra from those experiments and developed some criteria to remove clutter due to the aperiodic sequence. A second scheme of work was introduced by Hysell et al [3] and this scheme uses a Bayesian method to compute the spectra. Continuing this line of research a Monte Carlo simulations of typical echoes from equatorial ionospheric irregularities as well as ground clutter has been done to evaluate different aperiodic pulsing and inversion techniques to estimate the spectra or its corresponding AutoCorrelation Function (ACF). Our main objective is the estimation of the moderately overspread topside equatorial spread F (ESF) spectra. The optimal spectra estimators combined with radar imaging techniques might represent the unique means to estimate the irregularity power and energy spectral density versus wavenumber from the ground.application/pdfengInstituto Geofísico del Perúinfo:eu-repo/semantics/openAccesshttps://creativecommons.org/licences/by/4.0/IonosphereRadarAtmospheric dispersionAtmospherehttp://purl.org/pe-repo/ocde/ford#1.05.01http://purl.org/pe-repo/ocde/ford#1.05.00Evaluation of topside equatorial spread F spectra estimators using Monte Carlo simulationsinfo:eu-repo/semantics/conferenceObjectreponame:IGP-Institucionalinstname:Instituto Geofísico del Perúinstacron:IGPORIGINALgalindo2008.pdfgalindo2008.pdfapplication/pdf724170https://repositorio.igp.gob.pe/bitstreams/e9565eed-f170-4b01-b2a5-99b78bd5ea12/download7db1239d7df9355f53f9231dc98d30ecMD51LICENSElicense.txtlicense.txttext/plain; charset=utf-8393https://repositorio.igp.gob.pe/bitstreams/74e998f0-bf64-444b-9979-a92fb98f68ed/downloadf6e2e38ecabbf5c802f4b273da8f9399MD52THUMBNAILgalindo2008.pdf.jpggalindo2008.pdf.jpgIM Thumbnailimage/jpeg89348https://repositorio.igp.gob.pe/bitstreams/3b45fdc4-3557-4375-bf27-b7174c3117d3/download3235ce3d06577770f036843095ba8796MD53TEXTgalindo2008.pdf.txtgalindo2008.pdf.txtExtracted texttext/plain10792https://repositorio.igp.gob.pe/bitstreams/f6654c15-7e49-435d-8181-e408bfbebeea/downloada47ff5299ce2fe3b0a703b83daf21972MD5420.500.12816/3818oai:repositorio.igp.gob.pe:20.500.12816/38182021-03-10 12:01:46.605https://creativecommons.org/licences/by/4.0/info:eu-repo/semantics/openAccessopen.accesshttps://repositorio.igp.gob.peRepositorio Geofísico del Perudspace-help@myu.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
dc.title.es_ES.fl_str_mv Evaluation of topside equatorial spread F spectra estimators using Monte Carlo simulations
title Evaluation of topside equatorial spread F spectra estimators using Monte Carlo simulations
spellingShingle Evaluation of topside equatorial spread F spectra estimators using Monte Carlo simulations
Galindo, F. R.
Ionosphere
Radar
Atmospheric dispersion
Atmosphere
http://purl.org/pe-repo/ocde/ford#1.05.01
http://purl.org/pe-repo/ocde/ford#1.05.00
title_short Evaluation of topside equatorial spread F spectra estimators using Monte Carlo simulations
title_full Evaluation of topside equatorial spread F spectra estimators using Monte Carlo simulations
title_fullStr Evaluation of topside equatorial spread F spectra estimators using Monte Carlo simulations
title_full_unstemmed Evaluation of topside equatorial spread F spectra estimators using Monte Carlo simulations
title_sort Evaluation of topside equatorial spread F spectra estimators using Monte Carlo simulations
author Galindo, F. R.
author_facet Galindo, F. R.
Kuyeng, K. M.
Chau Chong Shing, Jorge Luis
Hysell, D. L.
author_role author
author2 Kuyeng, K. M.
Chau Chong Shing, Jorge Luis
Hysell, D. L.
author2_role author
author
author
dc.contributor.author.fl_str_mv Galindo, F. R.
Kuyeng, K. M.
Chau Chong Shing, Jorge Luis
Hysell, D. L.
dc.subject.es_ES.fl_str_mv Ionosphere
Radar
Atmospheric dispersion
Atmosphere
topic Ionosphere
Radar
Atmospheric dispersion
Atmosphere
http://purl.org/pe-repo/ocde/ford#1.05.01
http://purl.org/pe-repo/ocde/ford#1.05.00
dc.subject.ocde.es_ES.fl_str_mv http://purl.org/pe-repo/ocde/ford#1.05.01
http://purl.org/pe-repo/ocde/ford#1.05.00
description Radar observations typically employ periodic pulses to study any target. This scheme allows a simple processing of the data but the results frequently shows range or frequency aliasing. In order to solve this problem Uppala and Sahr [1] introduced the aperiodic technique (AT) in the radio science community. The AT is based on transmitting pulses at non uniform intervals and allows to study moderately overspread targets. Some equatorial Spread F (ESF) echoes belong to this category, particularly those from the topside. Using this idea Jicamarca Radio Observatory (JRO) has done a couple of experiments to study ESF echoes. Chau et al [2] used the Fast Fourier Transform (FFT) to compute spectra from those experiments and developed some criteria to remove clutter due to the aperiodic sequence. A second scheme of work was introduced by Hysell et al [3] and this scheme uses a Bayesian method to compute the spectra. Continuing this line of research a Monte Carlo simulations of typical echoes from equatorial ionospheric irregularities as well as ground clutter has been done to evaluate different aperiodic pulsing and inversion techniques to estimate the spectra or its corresponding AutoCorrelation Function (ACF). Our main objective is the estimation of the moderately overspread topside equatorial spread F (ESF) spectra. The optimal spectra estimators combined with radar imaging techniques might represent the unique means to estimate the irregularity power and energy spectral density versus wavenumber from the ground.
publishDate 2008
dc.date.accessioned.none.fl_str_mv 2018-11-22T18:14:40Z
dc.date.available.none.fl_str_mv 2018-11-22T18:14:40Z
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dc.language.iso.es_ES.fl_str_mv eng
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dc.rights.es_ES.fl_str_mv info:eu-repo/semantics/openAccess
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