Distributed sensing of ionospheric irregularities with a GNSS receiver array
We present analysis methods for studying the structuring and motion of ionospheric irregularities at the subkilometer scale sizes that produce L band scintillations. Spaced‐receiver methods are used for Global Navigation Satellite System (GNSS) receivers' phase measurements over approximately s...
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Veröffentlicht in: | Radio science 2017-08, Vol.52 (8), p.988-1003 |
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description | We present analysis methods for studying the structuring and motion of ionospheric irregularities at the subkilometer scale sizes that produce L band scintillations. Spaced‐receiver methods are used for Global Navigation Satellite System (GNSS) receivers' phase measurements over approximately subkilometer to kilometer length baselines for the first time. The quantities estimated by these techniques are plasma drift velocity, diffraction anisotropy magnitude and orientation, and characteristic velocity. Uncertainties are quantified by ensemble simulation of noise on the phase signals carried through to the observations of the spaced‐receiver linear system. These covariances are then propagated through to uncertainties on drifts through linearization about the estimated values of the state. Five receivers of SAGA, the Scintillation Auroral Global Positioning System (GPS) Array, provide 100 Hz power and phase data for each channel at L1 frequency. The array is sited in the auroral zone at Poker Flat Research Range, Alaska. A case study of a single scintillating satellite observed by the array is used to demonstrate the spaced‐receiver and uncertainty estimation process. A second case study estimates drifts as measured by multiple scintillating channels. These scintillations are correlated with auroral activity, based on all‐sky camera images. Measurements and uncertainty estimates made over a 30 min period are compared to a collocated incoherent scatter radar and show good agreement in horizontal drift speed and direction during periods of scintillation for which the characteristic velocity is less than the drift velocity.
Key Points
A kilometer‐spaced auroral GNSS receiver array senses ionospheric irregularity layer drift and diffraction anisotropy
Intervals of single‐ and multiple‐satellite scintillation are analyzed with Monte Carlo simulation for uncertainty estimation
Estimates of horizontal drifts compare favorably with incoherent scatter radar measurements |
doi_str_mv | 10.1002/2017RS006331 |
format | Article |
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Key Points
A kilometer‐spaced auroral GNSS receiver array senses ionospheric irregularity layer drift and diffraction anisotropy
Intervals of single‐ and multiple‐satellite scintillation are analyzed with Monte Carlo simulation for uncertainty estimation
Estimates of horizontal drifts compare favorably with incoherent scatter radar measurements</description><identifier>ISSN: 0048-6604</identifier><identifier>EISSN: 1944-799X</identifier><identifier>DOI: 10.1002/2017RS006331</identifier><language>eng</language><publisher>Washington: Blackwell Publishing Ltd</publisher><subject>Anisotropy ; array ; carrier phase ; Case studies ; Computer simulation ; Diffraction ; Estimates ; Global navigation satellite system ; Global Navigation Satellite Systems ; Global Positioning System ; Global positioning systems ; GPS ; Incoherent scatter radar ; Ionosphere ; Irregularities ; Monte Carlo simulation ; Navigation ; Navigation satellites ; Plasma drift ; Radar ; Receivers ; Satellite navigation systems ; Satellite observation ; Scattering ; Scintillation ; Uncertainty ; Velocity</subject><ispartof>Radio science, 2017-08, Vol.52 (8), p.988-1003</ispartof><rights>2017. American Geophysical Union. All Rights Reserved.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c3066-b7a5f1aebd04bb2bd1eb6cd359bfb8f8b24618895d521e5a173cf6e3b6cf996a3</citedby><cites>FETCH-LOGICAL-c3066-b7a5f1aebd04bb2bd1eb6cd359bfb8f8b24618895d521e5a173cf6e3b6cf996a3</cites><orcidid>0000-0002-7685-5625 ; 0000-0001-5079-1718 ; 0000-0001-6910-3989 ; 0000-0001-5987-9142</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://onlinelibrary.wiley.com/doi/pdf/10.1002%2F2017RS006331$$EPDF$$P50$$Gwiley$$H</linktopdf><linktohtml>$$Uhttps://onlinelibrary.wiley.com/doi/full/10.1002%2F2017RS006331$$EHTML$$P50$$Gwiley$$H</linktohtml><link.rule.ids>314,780,784,1417,1433,11514,27924,27925,45574,45575,46409,46468,46833,46892</link.rule.ids></links><search><creatorcontrib>Su, Yang</creatorcontrib><creatorcontrib>Datta‐Barua, Seebany</creatorcontrib><creatorcontrib>Bust, Gary S.</creatorcontrib><creatorcontrib>Deshpande, Kshitija B.</creatorcontrib><title>Distributed sensing of ionospheric irregularities with a GNSS receiver array</title><title>Radio science</title><description>We present analysis methods for studying the structuring and motion of ionospheric irregularities at the subkilometer scale sizes that produce L band scintillations. Spaced‐receiver methods are used for Global Navigation Satellite System (GNSS) receivers' phase measurements over approximately subkilometer to kilometer length baselines for the first time. The quantities estimated by these techniques are plasma drift velocity, diffraction anisotropy magnitude and orientation, and characteristic velocity. Uncertainties are quantified by ensemble simulation of noise on the phase signals carried through to the observations of the spaced‐receiver linear system. These covariances are then propagated through to uncertainties on drifts through linearization about the estimated values of the state. Five receivers of SAGA, the Scintillation Auroral Global Positioning System (GPS) Array, provide 100 Hz power and phase data for each channel at L1 frequency. The array is sited in the auroral zone at Poker Flat Research Range, Alaska. A case study of a single scintillating satellite observed by the array is used to demonstrate the spaced‐receiver and uncertainty estimation process. A second case study estimates drifts as measured by multiple scintillating channels. These scintillations are correlated with auroral activity, based on all‐sky camera images. Measurements and uncertainty estimates made over a 30 min period are compared to a collocated incoherent scatter radar and show good agreement in horizontal drift speed and direction during periods of scintillation for which the characteristic velocity is less than the drift velocity.
Key Points
A kilometer‐spaced auroral GNSS receiver array senses ionospheric irregularity layer drift and diffraction anisotropy
Intervals of single‐ and multiple‐satellite scintillation are analyzed with Monte Carlo simulation for uncertainty estimation
Estimates of horizontal drifts compare favorably with incoherent scatter radar measurements</description><subject>Anisotropy</subject><subject>array</subject><subject>carrier phase</subject><subject>Case studies</subject><subject>Computer simulation</subject><subject>Diffraction</subject><subject>Estimates</subject><subject>Global navigation satellite system</subject><subject>Global Navigation Satellite Systems</subject><subject>Global Positioning System</subject><subject>Global positioning systems</subject><subject>GPS</subject><subject>Incoherent scatter radar</subject><subject>Ionosphere</subject><subject>Irregularities</subject><subject>Monte Carlo simulation</subject><subject>Navigation</subject><subject>Navigation satellites</subject><subject>Plasma drift</subject><subject>Radar</subject><subject>Receivers</subject><subject>Satellite navigation systems</subject><subject>Satellite observation</subject><subject>Scattering</subject><subject>Scintillation</subject><subject>Uncertainty</subject><subject>Velocity</subject><issn>0048-6604</issn><issn>1944-799X</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2017</creationdate><recordtype>article</recordtype><recordid>eNp90E1Lw0AQBuBFFKzVmz9gwavR2c8kR2m1CkWhUfAWdpPZdktN6m5i6b83Ug-ePM3lmXeYl5BLBjcMgN9yYOmiANBCsCMyYrmUSZrn78dkBCCzRGuQp-QsxjUAk0rLEZlPfeyCt32HNY3YRN8saeuob5s2blcYfEV9CLjsNyb4zmOkO9-tqKGz56KgASv0XxioCcHsz8mJM5uIF79zTN4e7l8nj8n8ZfY0uZsnlQCtE5sa5ZhBW4O0ltuaodVVLVRunc1cZrnULMtyVSvOUBmWisppFANyea6NGJOrQ-42tJ89xq5ct31ohpPl8DNoUNmwMybXB1WFNsaArtwG_2HCvmRQ_vRV_u1r4PzAd36D-39tuZgWHJTS4hs_0Gyc</recordid><startdate>201708</startdate><enddate>201708</enddate><creator>Su, Yang</creator><creator>Datta‐Barua, Seebany</creator><creator>Bust, Gary S.</creator><creator>Deshpande, Kshitija B.</creator><general>Blackwell Publishing Ltd</general><scope>AAYXX</scope><scope>CITATION</scope><scope>7SP</scope><scope>8FD</scope><scope>H8D</scope><scope>L7M</scope><orcidid>https://orcid.org/0000-0002-7685-5625</orcidid><orcidid>https://orcid.org/0000-0001-5079-1718</orcidid><orcidid>https://orcid.org/0000-0001-6910-3989</orcidid><orcidid>https://orcid.org/0000-0001-5987-9142</orcidid></search><sort><creationdate>201708</creationdate><title>Distributed sensing of ionospheric irregularities with a GNSS receiver array</title><author>Su, Yang ; Datta‐Barua, Seebany ; Bust, Gary S. ; Deshpande, Kshitija B.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c3066-b7a5f1aebd04bb2bd1eb6cd359bfb8f8b24618895d521e5a173cf6e3b6cf996a3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2017</creationdate><topic>Anisotropy</topic><topic>array</topic><topic>carrier phase</topic><topic>Case studies</topic><topic>Computer simulation</topic><topic>Diffraction</topic><topic>Estimates</topic><topic>Global navigation satellite system</topic><topic>Global Navigation Satellite Systems</topic><topic>Global Positioning System</topic><topic>Global positioning systems</topic><topic>GPS</topic><topic>Incoherent scatter radar</topic><topic>Ionosphere</topic><topic>Irregularities</topic><topic>Monte Carlo simulation</topic><topic>Navigation</topic><topic>Navigation satellites</topic><topic>Plasma drift</topic><topic>Radar</topic><topic>Receivers</topic><topic>Satellite navigation systems</topic><topic>Satellite observation</topic><topic>Scattering</topic><topic>Scintillation</topic><topic>Uncertainty</topic><topic>Velocity</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Su, Yang</creatorcontrib><creatorcontrib>Datta‐Barua, Seebany</creatorcontrib><creatorcontrib>Bust, Gary S.</creatorcontrib><creatorcontrib>Deshpande, Kshitija B.</creatorcontrib><collection>CrossRef</collection><collection>Electronics & Communications Abstracts</collection><collection>Technology Research Database</collection><collection>Aerospace Database</collection><collection>Advanced Technologies Database with Aerospace</collection><jtitle>Radio science</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Su, Yang</au><au>Datta‐Barua, Seebany</au><au>Bust, Gary S.</au><au>Deshpande, Kshitija B.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Distributed sensing of ionospheric irregularities with a GNSS receiver array</atitle><jtitle>Radio science</jtitle><date>2017-08</date><risdate>2017</risdate><volume>52</volume><issue>8</issue><spage>988</spage><epage>1003</epage><pages>988-1003</pages><issn>0048-6604</issn><eissn>1944-799X</eissn><abstract>We present analysis methods for studying the structuring and motion of ionospheric irregularities at the subkilometer scale sizes that produce L band scintillations. Spaced‐receiver methods are used for Global Navigation Satellite System (GNSS) receivers' phase measurements over approximately subkilometer to kilometer length baselines for the first time. The quantities estimated by these techniques are plasma drift velocity, diffraction anisotropy magnitude and orientation, and characteristic velocity. Uncertainties are quantified by ensemble simulation of noise on the phase signals carried through to the observations of the spaced‐receiver linear system. These covariances are then propagated through to uncertainties on drifts through linearization about the estimated values of the state. Five receivers of SAGA, the Scintillation Auroral Global Positioning System (GPS) Array, provide 100 Hz power and phase data for each channel at L1 frequency. The array is sited in the auroral zone at Poker Flat Research Range, Alaska. A case study of a single scintillating satellite observed by the array is used to demonstrate the spaced‐receiver and uncertainty estimation process. A second case study estimates drifts as measured by multiple scintillating channels. These scintillations are correlated with auroral activity, based on all‐sky camera images. Measurements and uncertainty estimates made over a 30 min period are compared to a collocated incoherent scatter radar and show good agreement in horizontal drift speed and direction during periods of scintillation for which the characteristic velocity is less than the drift velocity.
Key Points
A kilometer‐spaced auroral GNSS receiver array senses ionospheric irregularity layer drift and diffraction anisotropy
Intervals of single‐ and multiple‐satellite scintillation are analyzed with Monte Carlo simulation for uncertainty estimation
Estimates of horizontal drifts compare favorably with incoherent scatter radar measurements</abstract><cop>Washington</cop><pub>Blackwell Publishing Ltd</pub><doi>10.1002/2017RS006331</doi><tpages>16</tpages><orcidid>https://orcid.org/0000-0002-7685-5625</orcidid><orcidid>https://orcid.org/0000-0001-5079-1718</orcidid><orcidid>https://orcid.org/0000-0001-6910-3989</orcidid><orcidid>https://orcid.org/0000-0001-5987-9142</orcidid></addata></record> |
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subjects | Anisotropy array carrier phase Case studies Computer simulation Diffraction Estimates Global navigation satellite system Global Navigation Satellite Systems Global Positioning System Global positioning systems GPS Incoherent scatter radar Ionosphere Irregularities Monte Carlo simulation Navigation Navigation satellites Plasma drift Radar Receivers Satellite navigation systems Satellite observation Scattering Scintillation Uncertainty Velocity |
title | Distributed sensing of ionospheric irregularities with a GNSS receiver array |
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