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Most threatening trajectories in a radar coverage area
In this paper, we will address one key issue for radar load regulation related to dwell priority assignment of Search Domains. Threat Level of search beam position is based on density map of most threatening trajectories (penetration corridors). We studied properties of these trajectories so as to f...
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creator | Gauguelin, G. Barbaresco, F. Zolesio, J.P. |
description | In this paper, we will address one key issue for radar load regulation related to dwell priority assignment of Search Domains. Threat Level of search beam position is based on density map of most threatening trajectories (penetration corridors). We studied properties of these trajectories so as to find theoretical results (existence or unicity) and also search algorithm which would be able to compute these trajectories. More particularly, we saw that the classical ¿shortest path algorithm¿ get useless when dealing with an additional local geometric constraints (local anisotropy of target Radar Cross Section). We built two sorts of algorithm in order to take this local constraint into account. |
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Threat Level of search beam position is based on density map of most threatening trajectories (penetration corridors). We studied properties of these trajectories so as to find theoretical results (existence or unicity) and also search algorithm which would be able to compute these trajectories. More particularly, we saw that the classical ¿shortest path algorithm¿ get useless when dealing with an additional local geometric constraints (local anisotropy of target Radar Cross Section). 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Threat Level of search beam position is based on density map of most threatening trajectories (penetration corridors). We studied properties of these trajectories so as to find theoretical results (existence or unicity) and also search algorithm which would be able to compute these trajectories. More particularly, we saw that the classical ¿shortest path algorithm¿ get useless when dealing with an additional local geometric constraints (local anisotropy of target Radar Cross Section). We built two sorts of algorithm in order to take this local constraint into account.</description><subject>Airborne radar</subject><subject>Aircraft</subject><subject>Anisotropic magnetoresistance</subject><subject>detection probability</subject><subject>Level set</subject><subject>Markov Chains</subject><subject>optimization</subject><subject>Phased arrays</subject><subject>Radar cross section</subject><subject>Radar detection</subject><subject>Radar tracking</subject><subject>Time factors</subject><subject>Trajectory</subject><issn>1097-5764</issn><issn>2640-7736</issn><isbn>9782912328557</isbn><isbn>2912328551</isbn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>2009</creationdate><recordtype>conference_proceeding</recordtype><sourceid>6IE</sourceid><recordid>eNotjstKBDEQRYMPcBj7C9zkBxqSVJJKljL4ghEXuh-qk-oxg3ZLOgj-vQ26Oot7uJwzsTHeqh4R_LnoIgYTtQETnMMLsdEqYu_Q2yvRLctJKaWjR2dhI_zzvDTZ3itT46lMR9kqnTi1uRZeZJkkyUqZqkzzN1c6sqTVvRaXI30s3P1zK17v7952j_3-5eFpd7vvS1StH4ZkURkm0AA5jAqTQe1jSm7IJsQECi0NelVi0DnFPGZtjUsQQAcLW3Hz91qY-fBVyyfVn8PavW4BfgE8ZkIW</recordid><startdate>200910</startdate><enddate>200910</enddate><creator>Gauguelin, G.</creator><creator>Barbaresco, F.</creator><creator>Zolesio, J.P.</creator><general>IEEE</general><scope>6IE</scope><scope>6IL</scope><scope>CBEJK</scope><scope>RIE</scope><scope>RIL</scope></search><sort><creationdate>200910</creationdate><title>Most threatening trajectories in a radar coverage area</title><author>Gauguelin, G. ; Barbaresco, F. ; Zolesio, J.P.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-i90t-bbc4702ea3133d8f07c27169cc5bd289c3074ab102e981dc9dfd1425c3831843</frbrgroupid><rsrctype>conference_proceedings</rsrctype><prefilter>conference_proceedings</prefilter><language>eng</language><creationdate>2009</creationdate><topic>Airborne radar</topic><topic>Aircraft</topic><topic>Anisotropic magnetoresistance</topic><topic>detection probability</topic><topic>Level set</topic><topic>Markov Chains</topic><topic>optimization</topic><topic>Phased arrays</topic><topic>Radar cross section</topic><topic>Radar detection</topic><topic>Radar tracking</topic><topic>Time factors</topic><topic>Trajectory</topic><toplevel>online_resources</toplevel><creatorcontrib>Gauguelin, G.</creatorcontrib><creatorcontrib>Barbaresco, F.</creatorcontrib><creatorcontrib>Zolesio, J.P.</creatorcontrib><collection>IEEE Electronic Library (IEL) Conference Proceedings</collection><collection>IEEE Proceedings Order Plan All Online (POP All Online) 1998-present by volume</collection><collection>IEEE Xplore All Conference Proceedings</collection><collection>IEEE Electronic Library (IEL)</collection><collection>IEEE Proceedings Order Plans (POP All) 1998-Present</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Gauguelin, G.</au><au>Barbaresco, F.</au><au>Zolesio, J.P.</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>Most threatening trajectories in a radar coverage area</atitle><btitle>2009 International Radar Conference "Surveillance for a Safer World" (RADAR 2009)</btitle><stitle>INTRADAR</stitle><date>2009-10</date><risdate>2009</risdate><spage>1</spage><epage>3</epage><pages>1-3</pages><issn>1097-5764</issn><eissn>2640-7736</eissn><isbn>9782912328557</isbn><isbn>2912328551</isbn><abstract>In this paper, we will address one key issue for radar load regulation related to dwell priority assignment of Search Domains. Threat Level of search beam position is based on density map of most threatening trajectories (penetration corridors). We studied properties of these trajectories so as to find theoretical results (existence or unicity) and also search algorithm which would be able to compute these trajectories. More particularly, we saw that the classical ¿shortest path algorithm¿ get useless when dealing with an additional local geometric constraints (local anisotropy of target Radar Cross Section). We built two sorts of algorithm in order to take this local constraint into account.</abstract><pub>IEEE</pub><tpages>3</tpages></addata></record> |
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identifier | ISSN: 1097-5764 |
ispartof | 2009 International Radar Conference "Surveillance for a Safer World" (RADAR 2009), 2009, p.1-3 |
issn | 1097-5764 2640-7736 |
language | eng |
recordid | cdi_ieee_primary_5438438 |
source | IEEE Xplore All Conference Series |
subjects | Airborne radar Aircraft Anisotropic magnetoresistance detection probability Level set Markov Chains optimization Phased arrays Radar cross section Radar detection Radar tracking Time factors Trajectory |
title | Most threatening trajectories in a radar coverage area |
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