Nonparametric signal detection algorithm using permutation statistics of signal partial likelihood ratios
This paper presents a new approach to design radar signal detection algorithms that are applicable when a priori information is limited. The problem is formulated as testing the hypothesis of the kind of a density function. A new method that uses nonparametric statistics of partial likelihood ratios...
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| creator | Sinitsyn, R B Bokal, Z M Kolchenko, L V |
| description | This paper presents a new approach to design radar signal detection algorithms that are applicable when a priori information is limited. The problem is formulated as testing the hypothesis of the kind of a density function. A new method that uses nonparametric statistics of partial likelihood ratios and allows adopting a permutation test in a practical algorithm is suggested and researched. The results can be used for signal detection and processing in different radar systems. |
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The problem is formulated as testing the hypothesis of the kind of a density function. A new method that uses nonparametric statistics of partial likelihood ratios and allows adopting a permutation test in a practical algorithm is suggested and researched. The results can be used for signal detection and processing in different radar systems.</description><subject>Algorithm design and analysis</subject><subject>Density functional theory</subject><subject>Kernel</subject><subject>Noise</subject><subject>Radar detection</subject><isbn>9781424472345</isbn><isbn>1424472342</isbn><isbn>2874870196</isbn><isbn>9782874870194</isbn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>2010</creationdate><recordtype>conference_proceeding</recordtype><sourceid>6IE</sourceid><sourceid>RIE</sourceid><recordid>eNp9jL0OgjAUhWuMiX88gUtfwIRC-ZuNxsnJnTRwgaulJb1l8O0Fo6tn-YbvnLNg2yjPZJ6FokiXLCiyXMhIyiyKZbJmAdEjnCKTSCTFhuHNmkE51YN3WHHC1ijNa_BQebSGK91ah77r-UhoWj6A60evPo5mkseKuG1-0-nM40SNT9DYWVtzN9dpz1aN0gTBlzt2uJzvp-sRAaAcHPbKvcokFbIQIv5v36XdRyY</recordid><startdate>201009</startdate><enddate>201009</enddate><creator>Sinitsyn, R B</creator><creator>Bokal, Z M</creator><creator>Kolchenko, L V</creator><general>IEEE</general><scope>6IE</scope><scope>6IL</scope><scope>CBEJK</scope><scope>RIE</scope><scope>RIL</scope></search><sort><creationdate>201009</creationdate><title>Nonparametric signal detection algorithm using permutation statistics of signal partial likelihood ratios</title><author>Sinitsyn, R B ; Bokal, Z M ; Kolchenko, L V</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-ieee_primary_56149113</frbrgroupid><rsrctype>conference_proceedings</rsrctype><prefilter>conference_proceedings</prefilter><language>eng</language><creationdate>2010</creationdate><topic>Algorithm design and analysis</topic><topic>Density functional theory</topic><topic>Kernel</topic><topic>Noise</topic><topic>Radar detection</topic><toplevel>online_resources</toplevel><creatorcontrib>Sinitsyn, R B</creatorcontrib><creatorcontrib>Bokal, Z M</creatorcontrib><creatorcontrib>Kolchenko, L V</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>Sinitsyn, R B</au><au>Bokal, Z M</au><au>Kolchenko, L V</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>Nonparametric signal detection algorithm using permutation statistics of signal partial likelihood ratios</atitle><btitle>The 7th European Radar Conference</btitle><stitle>EURAD</stitle><date>2010-09</date><risdate>2010</risdate><spage>260</spage><epage>263</epage><pages>260-263</pages><isbn>9781424472345</isbn><isbn>1424472342</isbn><eisbn>2874870196</eisbn><eisbn>9782874870194</eisbn><abstract>This paper presents a new approach to design radar signal detection algorithms that are applicable when a priori information is limited. The problem is formulated as testing the hypothesis of the kind of a density function. A new method that uses nonparametric statistics of partial likelihood ratios and allows adopting a permutation test in a practical algorithm is suggested and researched. The results can be used for signal detection and processing in different radar systems.</abstract><pub>IEEE</pub></addata></record> |
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| identifier | ISBN: 9781424472345 |
| ispartof | The 7th European Radar Conference, 2010, p.260-263 |
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| language | eng |
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| source | IEEE Electronic Library (IEL) Conference Proceedings |
| subjects | Algorithm design and analysis Density functional theory Kernel Noise Radar detection |
| title | Nonparametric signal detection algorithm using permutation statistics of signal partial likelihood ratios |
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