A statistical approach to generate propagation fade time series
A methodology is presented to generate a propagation fade time series based on the hypothesis that the fade rate statistics fully determine the attenuation and the fade duration statistics and thus allow to generate time series not only replicating statistically the events of a measured fade time se...
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description | A methodology is presented to generate a propagation fade time series based on the hypothesis that the fade rate statistics fully determine the attenuation and the fade duration statistics and thus allow to generate time series not only replicating statistically the events of a measured fade time series but also allowing to generate events embedded into its statistics but not evidenced. The approach is relying on the availability of measured time series. The results of this work in progress show that the approach is promising. The fade duration statistics results are not conclusive but the time correlation of the generated and reference time series tends to indicate a good representation. The methodology can be used in computer simulations to test the performance of rain fade countermeasure algorithms over many more fading events than there are in the measured time series as well as over fading events not present but statistically probable. |
doi_str_mv | 10.1109/EUCAP.2006.4584989 |
format | Conference Proceeding |
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The approach is relying on the availability of measured time series. The results of this work in progress show that the approach is promising. The fade duration statistics results are not conclusive but the time correlation of the generated and reference time series tends to indicate a good representation. The methodology can be used in computer simulations to test the performance of rain fade countermeasure algorithms over many more fading events than there are in the measured time series as well as over fading events not present but statistically probable.</description><identifier>ISSN: 2164-3342</identifier><identifier>ISBN: 9290929375</identifier><identifier>ISBN: 9789290929376</identifier><identifier>DOI: 10.1109/EUCAP.2006.4584989</identifier><language>eng</language><publisher>IEEE</publisher><subject>Attenuation measurement ; Computer simulation ; Frequency ; Probability density function ; Rain fading ; Random number generation ; Statistics ; Stochastic processes ; Testing ; Time measurement</subject><ispartof>2006 First European Conference on Antennas and Propagation, 2006, p.1-6</ispartof><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://ieeexplore.ieee.org/document/4584989$$EHTML$$P50$$Gieee$$H</linktohtml><link.rule.ids>309,310,776,780,785,786,2052,27902,54895</link.rule.ids><linktorsrc>$$Uhttps://ieeexplore.ieee.org/document/4584989$$EView_record_in_IEEE$$FView_record_in_$$GIEEE</linktorsrc></links><search><creatorcontrib>Caron, Mario</creatorcontrib><title>A statistical approach to generate propagation fade time series</title><title>2006 First European Conference on Antennas and Propagation</title><addtitle>EUCAP</addtitle><description>A methodology is presented to generate a propagation fade time series based on the hypothesis that the fade rate statistics fully determine the attenuation and the fade duration statistics and thus allow to generate time series not only replicating statistically the events of a measured fade time series but also allowing to generate events embedded into its statistics but not evidenced. The approach is relying on the availability of measured time series. The results of this work in progress show that the approach is promising. The fade duration statistics results are not conclusive but the time correlation of the generated and reference time series tends to indicate a good representation. The methodology can be used in computer simulations to test the performance of rain fade countermeasure algorithms over many more fading events than there are in the measured time series as well as over fading events not present but statistically probable.</description><subject>Attenuation measurement</subject><subject>Computer simulation</subject><subject>Frequency</subject><subject>Probability density function</subject><subject>Rain fading</subject><subject>Random number generation</subject><subject>Statistics</subject><subject>Stochastic processes</subject><subject>Testing</subject><subject>Time measurement</subject><issn>2164-3342</issn><isbn>9290929375</isbn><isbn>9789290929376</isbn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>2006</creationdate><recordtype>conference_proceeding</recordtype><sourceid>6IE</sourceid><sourceid>RIE</sourceid><recordid>eNotj81KAzEUhQMqWGtfQDd5gak3v5OsZBjqDxR0UdflzuSmRtrOMMnGt3fALg4HPg4fHMYeBKyFAP-0-Wqbz7UEsGttnPbOX7E7Lz3MUbW5ZgsprK6U0vKWrXL-AQDhDThnF-y54blgSbmkHo8cx3EasP_mZeAHOtOEhfiMRjzMo-HMIwbiJZ2IZ5oS5Xt2E_GYaXXpJdu9bHbtW7X9eH1vm22VPJQqem-DQS9Ub7ztQgQJClHGGDoiEykEq2UfnZXOCugRKEQdva6j0XXdqSV7_NcmItqPUzrh9Lu_3FV_-4hKfQ</recordid><startdate>200611</startdate><enddate>200611</enddate><creator>Caron, Mario</creator><general>IEEE</general><scope>6IE</scope><scope>6IL</scope><scope>CBEJK</scope><scope>RIE</scope><scope>RIL</scope></search><sort><creationdate>200611</creationdate><title>A statistical approach to generate propagation fade time series</title><author>Caron, Mario</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-i90t-f996d5a913c596bdf0203aa2ffdbee5fedd642cf8628610ca0edf4f947f5477b3</frbrgroupid><rsrctype>conference_proceedings</rsrctype><prefilter>conference_proceedings</prefilter><language>eng</language><creationdate>2006</creationdate><topic>Attenuation measurement</topic><topic>Computer simulation</topic><topic>Frequency</topic><topic>Probability density function</topic><topic>Rain fading</topic><topic>Random number generation</topic><topic>Statistics</topic><topic>Stochastic processes</topic><topic>Testing</topic><topic>Time measurement</topic><toplevel>online_resources</toplevel><creatorcontrib>Caron, Mario</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>Caron, Mario</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>A statistical approach to generate propagation fade time series</atitle><btitle>2006 First European Conference on Antennas and Propagation</btitle><stitle>EUCAP</stitle><date>2006-11</date><risdate>2006</risdate><spage>1</spage><epage>6</epage><pages>1-6</pages><issn>2164-3342</issn><isbn>9290929375</isbn><isbn>9789290929376</isbn><abstract>A methodology is presented to generate a propagation fade time series based on the hypothesis that the fade rate statistics fully determine the attenuation and the fade duration statistics and thus allow to generate time series not only replicating statistically the events of a measured fade time series but also allowing to generate events embedded into its statistics but not evidenced. The approach is relying on the availability of measured time series. The results of this work in progress show that the approach is promising. The fade duration statistics results are not conclusive but the time correlation of the generated and reference time series tends to indicate a good representation. The methodology can be used in computer simulations to test the performance of rain fade countermeasure algorithms over many more fading events than there are in the measured time series as well as over fading events not present but statistically probable.</abstract><pub>IEEE</pub><doi>10.1109/EUCAP.2006.4584989</doi><tpages>6</tpages></addata></record> |
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ispartof | 2006 First European Conference on Antennas and Propagation, 2006, p.1-6 |
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source | IEEE Electronic Library (IEL) Conference Proceedings |
subjects | Attenuation measurement Computer simulation Frequency Probability density function Rain fading Random number generation Statistics Stochastic processes Testing Time measurement |
title | A statistical approach to generate propagation fade time series |
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