Estimating refractivity from land clutter: another look at a simple approach
In a previous report, two methods of estimating refractivity from land clutter were discussed where one of the methods used a parabolic equation (PE) algorithm combined with a least squares technique, and the other used a ray trace algorithm combined with a rank correlation scheme (Barrios 2000). Ba...
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description | In a previous report, two methods of estimating refractivity from land clutter were discussed where one of the methods used a parabolic equation (PE) algorithm combined with a least squares technique, and the other used a ray trace algorithm combined with a rank correlation scheme (Barrios 2000). Based on simulations alone, both of these methods were fairly successful in estimating a tri-linear representation of a radiosonde-measured refractivity profile over two mixed land-sea paths. However, each method appears to favor a certain type of land topography. The PE/least-squares method performed well over land paths characterized by steep peaks and valleys and the ray trace/correlation method performed well over land paths which were not sharply varying in elevation. This latter method offers a more attractive alternative to the conventional least-squares technique because of its execution speed and simplicity, therefore we take a more extensive look at this technique. |
doi_str_mv | 10.1109/IGARSS.2001.976675 |
format | Conference Proceeding |
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Based on simulations alone, both of these methods were fairly successful in estimating a tri-linear representation of a radiosonde-measured refractivity profile over two mixed land-sea paths. However, each method appears to favor a certain type of land topography. The PE/least-squares method performed well over land paths characterized by steep peaks and valleys and the ray trace/correlation method performed well over land paths which were not sharply varying in elevation. This latter method offers a more attractive alternative to the conventional least-squares technique because of its execution speed and simplicity, therefore we take a more extensive look at this technique.</description><identifier>ISBN: 9780780370319</identifier><identifier>ISBN: 0780370317</identifier><identifier>DOI: 10.1109/IGARSS.2001.976675</identifier><language>eng</language><publisher>IEEE</publisher><subject>Clutter ; Correlation ; Ducts ; Equations ; Least squares approximation ; Maximum likelihood estimation ; Ray tracing ; Refractive index ; Storage area networks ; Surface topography</subject><ispartof>IGARSS 2001. Scanning the Present and Resolving the Future. Proceedings. IEEE 2001 International Geoscience and Remote Sensing Symposium (Cat. 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This latter method offers a more attractive alternative to the conventional least-squares technique because of its execution speed and simplicity, therefore we take a more extensive look at this technique.</description><subject>Clutter</subject><subject>Correlation</subject><subject>Ducts</subject><subject>Equations</subject><subject>Least squares approximation</subject><subject>Maximum likelihood estimation</subject><subject>Ray tracing</subject><subject>Refractive index</subject><subject>Storage area networks</subject><subject>Surface topography</subject><isbn>9780780370319</isbn><isbn>0780370317</isbn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>2001</creationdate><recordtype>conference_proceeding</recordtype><sourceid>6IE</sourceid><sourceid>RIE</sourceid><recordid>eNotj8tKw0AYRgdEUGpeoKt5gcR_bpmMu1JqLQQEq-syVzuaG5NR6NsbqIcPzu6Dg9CaQEUIqMfDfvN2PFYUgFRK1rUUN6hQsoFlTAIj6g4V8_wFC1xwzuU9andzjr3OcfjEyYekbY6_MV9wSGOPOz04bLufnH16wnoY89kn3I3jN9YZazzHfuo81tOURm3PD-g26G72xb9X6ON59759KdvX_WG7actIgOfSsaCC495bIzVRLBCQYJzklBghHWFMCHBe14ZAYyhtJLPCGGVkQ63hwFZoff2N3vvTlJaAdDldk9kfI3JNWQ</recordid><startdate>2001</startdate><enddate>2001</enddate><creator>Barrios, A.E.</creator><general>IEEE</general><scope>6IE</scope><scope>6IH</scope><scope>CBEJK</scope><scope>RIE</scope><scope>RIO</scope></search><sort><creationdate>2001</creationdate><title>Estimating refractivity from land clutter: another look at a simple approach</title><author>Barrios, A.E.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-i104t-d3f9fd4eecb7a193f1070bd7421b57d133550dea6b108b22873c5bb9b782cb403</frbrgroupid><rsrctype>conference_proceedings</rsrctype><prefilter>conference_proceedings</prefilter><language>eng</language><creationdate>2001</creationdate><topic>Clutter</topic><topic>Correlation</topic><topic>Ducts</topic><topic>Equations</topic><topic>Least squares approximation</topic><topic>Maximum likelihood estimation</topic><topic>Ray tracing</topic><topic>Refractive index</topic><topic>Storage area networks</topic><topic>Surface topography</topic><toplevel>online_resources</toplevel><creatorcontrib>Barrios, A.E.</creatorcontrib><collection>IEEE Electronic Library (IEL) Conference Proceedings</collection><collection>IEEE Proceedings Order Plan (POP) 1998-present by volume</collection><collection>IEEE Xplore All Conference Proceedings</collection><collection>IEEE Electronic Library (IEL)</collection><collection>IEEE Proceedings Order Plans (POP) 1998-present</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Barrios, A.E.</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>Estimating refractivity from land clutter: another look at a simple approach</atitle><btitle>IGARSS 2001. Scanning the Present and Resolving the Future. Proceedings. IEEE 2001 International Geoscience and Remote Sensing Symposium (Cat. No.01CH37217)</btitle><stitle>IGARSS</stitle><date>2001</date><risdate>2001</risdate><volume>2</volume><spage>904</spage><epage>905 vol.2</epage><pages>904-905 vol.2</pages><isbn>9780780370319</isbn><isbn>0780370317</isbn><abstract>In a previous report, two methods of estimating refractivity from land clutter were discussed where one of the methods used a parabolic equation (PE) algorithm combined with a least squares technique, and the other used a ray trace algorithm combined with a rank correlation scheme (Barrios 2000). Based on simulations alone, both of these methods were fairly successful in estimating a tri-linear representation of a radiosonde-measured refractivity profile over two mixed land-sea paths. However, each method appears to favor a certain type of land topography. The PE/least-squares method performed well over land paths characterized by steep peaks and valleys and the ray trace/correlation method performed well over land paths which were not sharply varying in elevation. This latter method offers a more attractive alternative to the conventional least-squares technique because of its execution speed and simplicity, therefore we take a more extensive look at this technique.</abstract><pub>IEEE</pub><doi>10.1109/IGARSS.2001.976675</doi></addata></record> |
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subjects | Clutter Correlation Ducts Equations Least squares approximation Maximum likelihood estimation Ray tracing Refractive index Storage area networks Surface topography |
title | Estimating refractivity from land clutter: another look at a simple approach |
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