On the effectiveness of noise reduction methods in DCSK systems
Many different methods to decontaminate noisy chaotic signals have been proposed over the past few years. A possible application of these techniques is chaotic communications, where an unwanted additive channel noise has to be removed from the received chaotic signal. Until now, the noise performanc...
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| creator | Jako, Z. Kis, G. |
| description | Many different methods to decontaminate noisy chaotic signals have been proposed over the past few years. A possible application of these techniques is chaotic communications, where an unwanted additive channel noise has to be removed from the received chaotic signal. Until now, the noise performance of differential chaos shift keying (DCSK) could not be improved significantly using these noise reduction algorithms. Recent investigations suggest that noise reduction techniques can be used only if the signal-to-noise ratio (SNR) of the received signal exceeds a certain threshold. The objective of this work is to introduce an adequate performance measure based on correlation. Using this performance measure the reason for the threshold effect is explained. |
| doi_str_mv | 10.1109/ISCAS.2000.858782 |
| format | Conference Proceeding |
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A possible application of these techniques is chaotic communications, where an unwanted additive channel noise has to be removed from the received chaotic signal. Until now, the noise performance of differential chaos shift keying (DCSK) could not be improved significantly using these noise reduction algorithms. Recent investigations suggest that noise reduction techniques can be used only if the signal-to-noise ratio (SNR) of the received signal exceeds a certain threshold. The objective of this work is to introduce an adequate performance measure based on correlation. Using this performance measure the reason for the threshold effect is explained.</description><identifier>ISBN: 9780780354821</identifier><identifier>ISBN: 0780354826</identifier><identifier>DOI: 10.1109/ISCAS.2000.858782</identifier><language>eng</language><publisher>IEEE</publisher><subject>Additive noise ; Additive white noise ; Chaos ; Chaotic communication ; Demodulation ; Maximum likelihood detection ; Noise reduction ; Radio frequency ; RF signals ; Signal to noise ratio</subject><ispartof>2000 IEEE International Symposium on Circuits and Systems (ISCAS), 2000, Vol.4, p.437-440 vol.4</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/858782$$EHTML$$P50$$Gieee$$H</linktohtml><link.rule.ids>309,310,780,784,789,790,2056,4048,4049,27924,54919</link.rule.ids><linktorsrc>$$Uhttps://ieeexplore.ieee.org/document/858782$$EView_record_in_IEEE$$FView_record_in_$$GIEEE</linktorsrc></links><search><creatorcontrib>Jako, Z.</creatorcontrib><creatorcontrib>Kis, G.</creatorcontrib><title>On the effectiveness of noise reduction methods in DCSK systems</title><title>2000 IEEE International Symposium on Circuits and Systems (ISCAS)</title><addtitle>ISCAS</addtitle><description>Many different methods to decontaminate noisy chaotic signals have been proposed over the past few years. A possible application of these techniques is chaotic communications, where an unwanted additive channel noise has to be removed from the received chaotic signal. Until now, the noise performance of differential chaos shift keying (DCSK) could not be improved significantly using these noise reduction algorithms. Recent investigations suggest that noise reduction techniques can be used only if the signal-to-noise ratio (SNR) of the received signal exceeds a certain threshold. The objective of this work is to introduce an adequate performance measure based on correlation. Using this performance measure the reason for the threshold effect is explained.</description><subject>Additive noise</subject><subject>Additive white noise</subject><subject>Chaos</subject><subject>Chaotic communication</subject><subject>Demodulation</subject><subject>Maximum likelihood detection</subject><subject>Noise reduction</subject><subject>Radio frequency</subject><subject>RF signals</subject><subject>Signal to noise ratio</subject><isbn>9780780354821</isbn><isbn>0780354826</isbn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>2000</creationdate><recordtype>conference_proceeding</recordtype><sourceid>6IE</sourceid><sourceid>RIE</sourceid><recordid>eNotj19LwzAUxQMiKLMfQJ_yBVpv0qT39klG_bPhYA_d-4jNLYvYVpoo7NtbmHDgwO_AD44Q9woKpaB-3LbNui00ABRkCUlfiaxGgiWlNaTVjchi_Fx2MBZqZW_F036U6cSS-567FH555Bjl1MtxCpHlzP5nwdMoB06nyUcZRvnctO8ynmPiId6J6959Rc7-eyUOry-HZpPv9m_bZr3LA2HKjVdWGVWjdYDOkNHsrO8ATVXSB3ZYMSqrKyDvbK_BG6RKsSNGg2BcuRIPF21g5uP3HAY3n4-Xk-UfOvRGJg</recordid><startdate>2000</startdate><enddate>2000</enddate><creator>Jako, Z.</creator><creator>Kis, G.</creator><general>IEEE</general><scope>6IE</scope><scope>6IH</scope><scope>CBEJK</scope><scope>RIE</scope><scope>RIO</scope></search><sort><creationdate>2000</creationdate><title>On the effectiveness of noise reduction methods in DCSK systems</title><author>Jako, Z. ; Kis, G.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-i87t-4d15141975a07a4842ea5dc074638b7c76e7152608da5f20d47861ea8e74704a3</frbrgroupid><rsrctype>conference_proceedings</rsrctype><prefilter>conference_proceedings</prefilter><language>eng</language><creationdate>2000</creationdate><topic>Additive noise</topic><topic>Additive white noise</topic><topic>Chaos</topic><topic>Chaotic communication</topic><topic>Demodulation</topic><topic>Maximum likelihood detection</topic><topic>Noise reduction</topic><topic>Radio frequency</topic><topic>RF signals</topic><topic>Signal to noise ratio</topic><toplevel>online_resources</toplevel><creatorcontrib>Jako, Z.</creatorcontrib><creatorcontrib>Kis, G.</creatorcontrib><collection>IEEE Electronic Library (IEL) Conference Proceedings</collection><collection>IEEE Proceedings Order Plan (POP) 1998-present by volume</collection><collection>IEEE Xplore All Conference Proceedings</collection><collection>IEEE Electronic Library (IEL)</collection><collection>IEEE Proceedings Order Plans (POP) 1998-present</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Jako, Z.</au><au>Kis, G.</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>On the effectiveness of noise reduction methods in DCSK systems</atitle><btitle>2000 IEEE International Symposium on Circuits and Systems (ISCAS)</btitle><stitle>ISCAS</stitle><date>2000</date><risdate>2000</risdate><volume>4</volume><spage>437</spage><epage>440 vol.4</epage><pages>437-440 vol.4</pages><isbn>9780780354821</isbn><isbn>0780354826</isbn><abstract>Many different methods to decontaminate noisy chaotic signals have been proposed over the past few years. A possible application of these techniques is chaotic communications, where an unwanted additive channel noise has to be removed from the received chaotic signal. Until now, the noise performance of differential chaos shift keying (DCSK) could not be improved significantly using these noise reduction algorithms. Recent investigations suggest that noise reduction techniques can be used only if the signal-to-noise ratio (SNR) of the received signal exceeds a certain threshold. The objective of this work is to introduce an adequate performance measure based on correlation. Using this performance measure the reason for the threshold effect is explained.</abstract><pub>IEEE</pub><doi>10.1109/ISCAS.2000.858782</doi></addata></record> |
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| identifier | ISBN: 9780780354821 |
| ispartof | 2000 IEEE International Symposium on Circuits and Systems (ISCAS), 2000, Vol.4, p.437-440 vol.4 |
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| language | eng |
| recordid | cdi_ieee_primary_858782 |
| source | IEEE Electronic Library (IEL) Conference Proceedings |
| subjects | Additive noise Additive white noise Chaos Chaotic communication Demodulation Maximum likelihood detection Noise reduction Radio frequency RF signals Signal to noise ratio |
| title | On the effectiveness of noise reduction methods in DCSK systems |
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