Comparative analysis of the performance of the information theoretic criteria for model order estimation of InSAR signals corrupted by multiplicative noise

In this paper, we study the behaviour of information theoretic criteria in order to select the order of the model of InSAR signals corrupted by multiplicative noise. We compare the performance of these criteria when using the number of degrees of freedom derived in D. Williams (November, 1994) with...

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Hauptverfasser:	Ouldali, A., Chibane, F., Defara, L.
Format:	Tagungsbericht
Sprache:	eng
Schlagworte:	Antenna measurements Gaussian noise Information analysis Numerical simulation Performance analysis Phase estimation Radar detection Sensor arrays Signal analysis Synthetic aperture radar interferometry
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creator	Ouldali, A. Chibane, F. Defara, L.
description	In this paper, we study the behaviour of information theoretic criteria in order to select the order of the model of InSAR signals corrupted by multiplicative noise. We compare the performance of these criteria when using the number of degrees of freedom derived in D. Williams (November, 1994) with the performance of these criteria computed in F. Gini and F. Bordoni (2003) when using the number of degree of freedom derived in M. Wax and T. Kailath (April 1985). We show, through numerical simulations, that one of the efficient detection criteria evaluated with the number derived in D. Williams (November, 1994) has the best performance.
doi_str_mv	10.1109/ISCCSP.2004.1296584
format	Conference Proceeding
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Williams (November, 1994) has the best performance.</description><subject>Antenna measurements</subject><subject>Gaussian noise</subject><subject>Information analysis</subject><subject>Numerical simulation</subject><subject>Performance analysis</subject><subject>Phase estimation</subject><subject>Radar detection</subject><subject>Sensor arrays</subject><subject>Signal analysis</subject><subject>Synthetic aperture radar interferometry</subject><isbn>9780780383791</isbn><isbn>0780383796</isbn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>2004</creationdate><recordtype>conference_proceeding</recordtype><sourceid>6IE</sourceid><sourceid>RIE</sourceid><recordid>eNo1UO1KAzEQDIig1D5B_-QFWpPLJZf7WQ4_CgXF6u-S5PZ05e5yJKnQZ_FljbYuC8vODjPDErLgbMU5q283u6bZPa8KxsoVL2oldXlB5nWlWW6hRVXzKzKP8ZPlEnXJeXlNvhs_TCaYhF9AzWj6Y8RIfUfTB9AJQufDYEYH_xCOf0hCP_7uPkBCR13ABAENzUc6-BZ66kMLgUJMeGZngc24W7_QiO_ZJ1LnQzhMCVpqj3Q49AmnHt0pyegxwg257DIR5uc5I2_3d6_N43L79LBp1tsl8kqkpWVGKy6dFkWnpKysrYtWFdJoaaUQlRRKO1Yoa5jtjBKSMZvZrWOd05VQYkYWJ10EgP0UcuJw3J9fKH4AvtprSg</recordid><startdate>2004</startdate><enddate>2004</enddate><creator>Ouldali, A.</creator><creator>Chibane, F.</creator><creator>Defara, L.</creator><general>IEEE</general><scope>6IE</scope><scope>6IL</scope><scope>CBEJK</scope><scope>RIE</scope><scope>RIL</scope></search><sort><creationdate>2004</creationdate><title>Comparative analysis of the performance of the information theoretic criteria for model order estimation of InSAR signals corrupted by multiplicative noise</title><author>Ouldali, A. ; Chibane, F. ; Defara, L.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-i173t-b0a8615c832f6557bb92d625a85b53375368c026ba0bfa63500b5c8dc0fc87363</frbrgroupid><rsrctype>conference_proceedings</rsrctype><prefilter>conference_proceedings</prefilter><language>eng</language><creationdate>2004</creationdate><topic>Antenna measurements</topic><topic>Gaussian noise</topic><topic>Information analysis</topic><topic>Numerical simulation</topic><topic>Performance analysis</topic><topic>Phase estimation</topic><topic>Radar detection</topic><topic>Sensor arrays</topic><topic>Signal analysis</topic><topic>Synthetic aperture radar interferometry</topic><toplevel>online_resources</toplevel><creatorcontrib>Ouldali, A.</creatorcontrib><creatorcontrib>Chibane, F.</creatorcontrib><creatorcontrib>Defara, L.</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/IET 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>Ouldali, A.</au><au>Chibane, F.</au><au>Defara, L.</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>Comparative analysis of the performance of the information theoretic criteria for model order estimation of InSAR signals corrupted by multiplicative noise</atitle><btitle>First International Symposium on Control, Communications and Signal Processing, 2004</btitle><stitle>ISCCSP</stitle><date>2004</date><risdate>2004</risdate><spage>869</spage><epage>872</epage><pages>869-872</pages><isbn>9780780383791</isbn><isbn>0780383796</isbn><abstract>In this paper, we study the behaviour of information theoretic criteria in order to select the order of the model of InSAR signals corrupted by multiplicative noise. We compare the performance of these criteria when using the number of degrees of freedom derived in D. Williams (November, 1994) with the performance of these criteria computed in F. Gini and F. Bordoni (2003) when using the number of degree of freedom derived in M. Wax and T. Kailath (April 1985). We show, through numerical simulations, that one of the efficient detection criteria evaluated with the number derived in D. Williams (November, 1994) has the best performance.</abstract><pub>IEEE</pub><doi>10.1109/ISCCSP.2004.1296584</doi><tpages>4</tpages></addata></record>
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source	IEEE Electronic Library (IEL) Conference Proceedings
subjects	Antenna measurements Gaussian noise Information analysis Numerical simulation Performance analysis Phase estimation Radar detection Sensor arrays Signal analysis Synthetic aperture radar interferometry
title	Comparative analysis of the performance of the information theoretic criteria for model order estimation of InSAR signals corrupted by multiplicative noise
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