Integrated Cubic Phase Function for Linear FM Signal Analysis
In this paper, an integrated cubic phase function (ICPF) is introduced for the estimation and detection of linear frequency-modulated (LFM) signals. The ICPF extends the standard cubic phase function (CPF) to handle cases involving low signal-to-noise ratio (SNR) and multi-component LFM signals. The...
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Veröffentlicht in: | IEEE transactions on aerospace and electronic systems 2010-07, Vol.46 (3), p.963-977 |
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description | In this paper, an integrated cubic phase function (ICPF) is introduced for the estimation and detection of linear frequency-modulated (LFM) signals. The ICPF extends the standard cubic phase function (CPF) to handle cases involving low signal-to-noise ratio (SNR) and multi-component LFM signals. The asymptotic mean squared error (MSE) of an ICPF-based estimator as well as the output SNR of an ICPF-based detector are derived in closed form and verified by computer simulation. Comparison with several existing approaches is also included, which shows that the ICPF serves as a good candidate for LFM signal analysis. |
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The ICPF extends the standard cubic phase function (CPF) to handle cases involving low signal-to-noise ratio (SNR) and multi-component LFM signals. The asymptotic mean squared error (MSE) of an ICPF-based estimator as well as the output SNR of an ICPF-based detector are derived in closed form and verified by computer simulation. Comparison with several existing approaches is also included, which shows that the ICPF serves as a good candidate for LFM signal analysis.</description><identifier>ISSN: 0018-9251</identifier><identifier>EISSN: 1557-9603</identifier><identifier>DOI: 10.1109/TAES.2010.5545167</identifier><identifier>CODEN: IEARAX</identifier><language>eng</language><publisher>New York: IEEE</publisher><subject>Aircraft components ; Asymptotic properties ; Chirp ; Electronic systems ; Estimators ; Exact solutions ; Frequency estimation ; Mathematical analysis ; Mathematical models ; Maximum likelihood estimation ; Parameter estimation ; Phase detection ; Phase estimation ; Radar ; Signal analysis ; Signal to noise ratio ; Time frequency analysis</subject><ispartof>IEEE transactions on aerospace and electronic systems, 2010-07, Vol.46 (3), p.963-977</ispartof><rights>Copyright The Institute of Electrical and Electronics Engineers, Inc. (IEEE) Jul 2010</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c325t-b773aefd15a1446da59d3a3dcf8bed7599d0c9754431918c2218f32972cb08d33</citedby><cites>FETCH-LOGICAL-c325t-b773aefd15a1446da59d3a3dcf8bed7599d0c9754431918c2218f32972cb08d33</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://ieeexplore.ieee.org/document/5545167$$EHTML$$P50$$Gieee$$H</linktohtml><link.rule.ids>314,780,784,796,27924,27925,54758</link.rule.ids><linktorsrc>$$Uhttps://ieeexplore.ieee.org/document/5545167$$EView_record_in_IEEE$$FView_record_in_$$GIEEE</linktorsrc></links><search><creatorcontrib>Pu Wang</creatorcontrib><creatorcontrib>Hongbin Li</creatorcontrib><creatorcontrib>Djurović, I</creatorcontrib><creatorcontrib>Himed, B</creatorcontrib><title>Integrated Cubic Phase Function for Linear FM Signal Analysis</title><title>IEEE transactions on aerospace and electronic systems</title><addtitle>T-AES</addtitle><description>In this paper, an integrated cubic phase function (ICPF) is introduced for the estimation and detection of linear frequency-modulated (LFM) signals. 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Comparison with several existing approaches is also included, which shows that the ICPF serves as a good candidate for LFM signal analysis.</description><subject>Aircraft components</subject><subject>Asymptotic properties</subject><subject>Chirp</subject><subject>Electronic systems</subject><subject>Estimators</subject><subject>Exact solutions</subject><subject>Frequency estimation</subject><subject>Mathematical analysis</subject><subject>Mathematical models</subject><subject>Maximum likelihood estimation</subject><subject>Parameter estimation</subject><subject>Phase detection</subject><subject>Phase estimation</subject><subject>Radar</subject><subject>Signal analysis</subject><subject>Signal to noise ratio</subject><subject>Time frequency analysis</subject><issn>0018-9251</issn><issn>1557-9603</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2010</creationdate><recordtype>article</recordtype><sourceid>RIE</sourceid><recordid>eNpdkE1LAzEQhoMoWKs_QLwEPHjamo_NJjl4KKXVQkWh9RyySbambHdrsnvov29KqwcvMwzzvMPwAHCP0QhjJJ9X4-lyRFAaGcsZLvgFGGDGeCYLRC_BACEsMkkYvgY3MW7SmIucDsDLvOncOujOWTjpS2_g57eODs76xnS-bWDVBrjwjdMBzt7h0q8bXcNxKvvo4y24qnQd3d25D8HXbLqavGWLj9f5ZLzIDCWsy0rOqXaVxUzjPC-sZtJSTa2pROksZ1JaZCRneU6xxMIQgkVFieTElEhYSofg6XR3F9qf3sVObX00rq5149o-KsFYwQtGZCIf_5Gbtg_p3agwIpwLRiVOFD5RJrQxBlepXfBbHfYJUkef6uhTHX2qs8-UeThlvHPuj__dHgDG7G7b</recordid><startdate>201007</startdate><enddate>201007</enddate><creator>Pu Wang</creator><creator>Hongbin Li</creator><creator>Djurović, I</creator><creator>Himed, B</creator><general>IEEE</general><general>The Institute of Electrical and Electronics Engineers, Inc. (IEEE)</general><scope>97E</scope><scope>RIA</scope><scope>RIE</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7SP</scope><scope>7TB</scope><scope>8FD</scope><scope>FR3</scope><scope>H8D</scope><scope>L7M</scope><scope>F28</scope></search><sort><creationdate>201007</creationdate><title>Integrated Cubic Phase Function for Linear FM Signal Analysis</title><author>Pu Wang ; Hongbin Li ; Djurović, I ; Himed, B</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c325t-b773aefd15a1446da59d3a3dcf8bed7599d0c9754431918c2218f32972cb08d33</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2010</creationdate><topic>Aircraft components</topic><topic>Asymptotic properties</topic><topic>Chirp</topic><topic>Electronic systems</topic><topic>Estimators</topic><topic>Exact solutions</topic><topic>Frequency estimation</topic><topic>Mathematical analysis</topic><topic>Mathematical models</topic><topic>Maximum likelihood estimation</topic><topic>Parameter estimation</topic><topic>Phase detection</topic><topic>Phase estimation</topic><topic>Radar</topic><topic>Signal analysis</topic><topic>Signal to noise ratio</topic><topic>Time frequency analysis</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Pu Wang</creatorcontrib><creatorcontrib>Hongbin Li</creatorcontrib><creatorcontrib>Djurović, I</creatorcontrib><creatorcontrib>Himed, B</creatorcontrib><collection>IEEE All-Society Periodicals Package (ASPP) 2005-present</collection><collection>IEEE All-Society Periodicals Package (ASPP) 1998-Present</collection><collection>IEEE Electronic Library (IEL)</collection><collection>CrossRef</collection><collection>Electronics & Communications Abstracts</collection><collection>Mechanical & Transportation Engineering Abstracts</collection><collection>Technology Research Database</collection><collection>Engineering Research Database</collection><collection>Aerospace Database</collection><collection>Advanced Technologies Database with Aerospace</collection><collection>ANTE: Abstracts in New Technology & Engineering</collection><jtitle>IEEE transactions on aerospace and electronic systems</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Pu Wang</au><au>Hongbin Li</au><au>Djurović, I</au><au>Himed, B</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Integrated Cubic Phase Function for Linear FM Signal Analysis</atitle><jtitle>IEEE transactions on aerospace and electronic systems</jtitle><stitle>T-AES</stitle><date>2010-07</date><risdate>2010</risdate><volume>46</volume><issue>3</issue><spage>963</spage><epage>977</epage><pages>963-977</pages><issn>0018-9251</issn><eissn>1557-9603</eissn><coden>IEARAX</coden><abstract>In this paper, an integrated cubic phase function (ICPF) is introduced for the estimation and detection of linear frequency-modulated (LFM) signals. The ICPF extends the standard cubic phase function (CPF) to handle cases involving low signal-to-noise ratio (SNR) and multi-component LFM signals. The asymptotic mean squared error (MSE) of an ICPF-based estimator as well as the output SNR of an ICPF-based detector are derived in closed form and verified by computer simulation. Comparison with several existing approaches is also included, which shows that the ICPF serves as a good candidate for LFM signal analysis.</abstract><cop>New York</cop><pub>IEEE</pub><doi>10.1109/TAES.2010.5545167</doi><tpages>15</tpages></addata></record> |
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subjects | Aircraft components Asymptotic properties Chirp Electronic systems Estimators Exact solutions Frequency estimation Mathematical analysis Mathematical models Maximum likelihood estimation Parameter estimation Phase detection Phase estimation Radar Signal analysis Signal to noise ratio Time frequency analysis |
title | Integrated Cubic Phase Function for Linear FM Signal Analysis |
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