Upper Bound for the Loss of Energy Detection of Signals in Multipath Fading Channels
The performance of energy detection under multipath fading is analyzed and compared with locally optimal detection using Pitman's asymptotic relative efficiency. Under the L-tap finite impulse response channel model with zero-mean independent and identically distributed tap coefficients, it is...
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| Veröffentlicht in: | IEEE signal processing letters 2009-11, Vol.16 (11), p.949-952 |
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| container_title | IEEE signal processing letters |
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| creator | Yirang Lim, Yirang Lim Juho Park, Juho Park Youngchul Sung, Youngchul Sung |
| description | The performance of energy detection under multipath fading is analyzed and compared with locally optimal detection using Pitman's asymptotic relative efficiency. Under the L-tap finite impulse response channel model with zero-mean independent and identically distributed tap coefficients, it is shown that the average performance loss of energy detection is no greater than 50% in sample size for the same performance compared with locally optimal detection exploiting signal correlation. Also, an algorithm exploiting signal correlation and improving the detection performance is proposed based on the estimation of signal correlation. Numerical results show that the proposed algorithm almost achieves the performance of locally optimal detection. |
| doi_str_mv | 10.1109/LSP.2009.2027649 |
| format | Article |
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Under the L-tap finite impulse response channel model with zero-mean independent and identically distributed tap coefficients, it is shown that the average performance loss of energy detection is no greater than 50% in sample size for the same performance compared with locally optimal detection exploiting signal correlation. Also, an algorithm exploiting signal correlation and improving the detection performance is proposed based on the estimation of signal correlation. Numerical results show that the proposed algorithm almost achieves the performance of locally optimal detection.</description><identifier>ISSN: 1070-9908</identifier><identifier>EISSN: 1558-2361</identifier><identifier>DOI: 10.1109/LSP.2009.2027649</identifier><identifier>CODEN: ISPLEM</identifier><language>eng</language><publisher>New York: IEEE</publisher><subject>Additive white noise ; Algorithms ; Asymptotic properties ; Asymptotic relative efficiency ; Channels ; Cognitive radio ; cognitive radios ; Correlation ; energy detecton ; Fading ; Finite impulse response filter ; Impulse response ; Mathematical models ; multipath channel ; Optimization ; Performance analysis ; Performance loss ; Signal analysis ; Signal detection ; Signal processing ; Upper bound</subject><ispartof>IEEE signal processing letters, 2009-11, Vol.16 (11), p.949-952</ispartof><rights>Copyright The Institute of Electrical and Electronics Engineers, Inc. (IEEE) 2009</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c353t-d9e94eb0e5cbc6daa0e58eddd9399397cf932967809a34620c860ac8049c6653</citedby><cites>FETCH-LOGICAL-c353t-d9e94eb0e5cbc6daa0e58eddd9399397cf932967809a34620c860ac8049c6653</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://ieeexplore.ieee.org/document/5164996$$EHTML$$P50$$Gieee$$H</linktohtml><link.rule.ids>314,776,780,792,27901,27902,54733</link.rule.ids><linktorsrc>$$Uhttps://ieeexplore.ieee.org/document/5164996$$EView_record_in_IEEE$$FView_record_in_$$GIEEE</linktorsrc></links><search><creatorcontrib>Yirang Lim, Yirang Lim</creatorcontrib><creatorcontrib>Juho Park, Juho Park</creatorcontrib><creatorcontrib>Youngchul Sung, Youngchul Sung</creatorcontrib><title>Upper Bound for the Loss of Energy Detection of Signals in Multipath Fading Channels</title><title>IEEE signal processing letters</title><addtitle>LSP</addtitle><description>The performance of energy detection under multipath fading is analyzed and compared with locally optimal detection using Pitman's asymptotic relative efficiency. Under the L-tap finite impulse response channel model with zero-mean independent and identically distributed tap coefficients, it is shown that the average performance loss of energy detection is no greater than 50% in sample size for the same performance compared with locally optimal detection exploiting signal correlation. Also, an algorithm exploiting signal correlation and improving the detection performance is proposed based on the estimation of signal correlation. Numerical results show that the proposed algorithm almost achieves the performance of locally optimal detection.</description><subject>Additive white noise</subject><subject>Algorithms</subject><subject>Asymptotic properties</subject><subject>Asymptotic relative efficiency</subject><subject>Channels</subject><subject>Cognitive radio</subject><subject>cognitive radios</subject><subject>Correlation</subject><subject>energy detecton</subject><subject>Fading</subject><subject>Finite impulse response filter</subject><subject>Impulse response</subject><subject>Mathematical models</subject><subject>multipath channel</subject><subject>Optimization</subject><subject>Performance analysis</subject><subject>Performance loss</subject><subject>Signal analysis</subject><subject>Signal detection</subject><subject>Signal processing</subject><subject>Upper bound</subject><issn>1070-9908</issn><issn>1558-2361</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2009</creationdate><recordtype>article</recordtype><sourceid>RIE</sourceid><recordid>eNp9kcFOwzAMhisEEjC4I3GJOMCp4DRNmhxhbIA0BBLjHIXU3Tp1aUnaA29PqiEOHJAs27I_J7L_JDmjcE0pqJvF2-t1BqCiywqRq73kiHIu04wJuh9zKCBVCuRhchzCBgAklfwoWb53HXpy1w6uJFXrSb9GsmhDIG1FZg796ovcY4-2r1s31t7qlTNNILUjz0PT153p12RuytqtyHRtnMMmnCQHVWTw9CdOkuV8tpw-pouXh6fp7SK1jLM-LRWqHD8Auf2wojQmZhLLslRMRStspVimRCFBGZaLDKwUYKyEXFkhOJskV7tnO99-Dhh6va2DxaYxDtshaFlwiEvmRSQv_yUZh0yCEBG8-ANu2sGPC2spaMTyfPwXdpD18VAeK935emv8l6agRzF0FEOPYugfMeLI-W6kRsRfnNPYU4J9AwZug9Y</recordid><startdate>20091101</startdate><enddate>20091101</enddate><creator>Yirang Lim, Yirang Lim</creator><creator>Juho Park, Juho Park</creator><creator>Youngchul Sung, Youngchul Sung</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>7SC</scope><scope>7SP</scope><scope>8FD</scope><scope>JQ2</scope><scope>L7M</scope><scope>L~C</scope><scope>L~D</scope><scope>F28</scope><scope>FR3</scope></search><sort><creationdate>20091101</creationdate><title>Upper Bound for the Loss of Energy Detection of Signals in Multipath Fading Channels</title><author>Yirang Lim, Yirang Lim ; Juho Park, Juho Park ; Youngchul Sung, Youngchul Sung</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c353t-d9e94eb0e5cbc6daa0e58eddd9399397cf932967809a34620c860ac8049c6653</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2009</creationdate><topic>Additive white noise</topic><topic>Algorithms</topic><topic>Asymptotic properties</topic><topic>Asymptotic relative efficiency</topic><topic>Channels</topic><topic>Cognitive radio</topic><topic>cognitive radios</topic><topic>Correlation</topic><topic>energy detecton</topic><topic>Fading</topic><topic>Finite impulse response filter</topic><topic>Impulse response</topic><topic>Mathematical models</topic><topic>multipath channel</topic><topic>Optimization</topic><topic>Performance analysis</topic><topic>Performance loss</topic><topic>Signal analysis</topic><topic>Signal detection</topic><topic>Signal processing</topic><topic>Upper bound</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Yirang Lim, Yirang Lim</creatorcontrib><creatorcontrib>Juho Park, Juho Park</creatorcontrib><creatorcontrib>Youngchul Sung, Youngchul Sung</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>Computer and Information Systems Abstracts</collection><collection>Electronics & Communications Abstracts</collection><collection>Technology Research Database</collection><collection>ProQuest Computer Science Collection</collection><collection>Advanced Technologies Database with Aerospace</collection><collection>Computer and Information Systems Abstracts Academic</collection><collection>Computer and Information Systems Abstracts Professional</collection><collection>ANTE: Abstracts in New Technology & Engineering</collection><collection>Engineering Research Database</collection><jtitle>IEEE signal processing letters</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Yirang Lim, Yirang Lim</au><au>Juho Park, Juho Park</au><au>Youngchul Sung, Youngchul Sung</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Upper Bound for the Loss of Energy Detection of Signals in Multipath Fading Channels</atitle><jtitle>IEEE signal processing letters</jtitle><stitle>LSP</stitle><date>2009-11-01</date><risdate>2009</risdate><volume>16</volume><issue>11</issue><spage>949</spage><epage>952</epage><pages>949-952</pages><issn>1070-9908</issn><eissn>1558-2361</eissn><coden>ISPLEM</coden><abstract>The performance of energy detection under multipath fading is analyzed and compared with locally optimal detection using Pitman's asymptotic relative efficiency. Under the L-tap finite impulse response channel model with zero-mean independent and identically distributed tap coefficients, it is shown that the average performance loss of energy detection is no greater than 50% in sample size for the same performance compared with locally optimal detection exploiting signal correlation. Also, an algorithm exploiting signal correlation and improving the detection performance is proposed based on the estimation of signal correlation. Numerical results show that the proposed algorithm almost achieves the performance of locally optimal detection.</abstract><cop>New York</cop><pub>IEEE</pub><doi>10.1109/LSP.2009.2027649</doi><tpages>4</tpages></addata></record> |
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| subjects | Additive white noise Algorithms Asymptotic properties Asymptotic relative efficiency Channels Cognitive radio cognitive radios Correlation energy detecton Fading Finite impulse response filter Impulse response Mathematical models multipath channel Optimization Performance analysis Performance loss Signal analysis Signal detection Signal processing Upper bound |
| title | Upper Bound for the Loss of Energy Detection of Signals in Multipath Fading Channels |
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