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Preliminary Application of Scale Transformation Stochastic Resonance in Dual-Sequence Frequency Hopping System
Aiming at the detection failure of strong noise interference in the dual channel of the dual-sequence frequency hopping (DSFH), the scale transformation stochastic resonance (STSR) is applied for the first time, and the output signal to noise ratio (SNR) is raised effectively, at the same time, the...
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Published in: | Shanghai jiao tong da xue xue bao 2019-12, Vol.24 (6), p.775-781 |
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description | Aiming at the detection failure of strong noise interference in the dual channel of the dual-sequence frequency hopping (DSFH), the scale transformation stochastic resonance (STSR) is applied for the first time, and the output signal to noise ratio (SNR) is raised effectively, at the same time, the symbol reception is completed for DSFH at low input SNR. Firstly, the radio frequency (RF) and intermediate frequency (IF) signals are analyzed based on the super-heterodyne reception of DSFH; secondly, the equations of probability density function (PDF), output power spectrum and SNR of the STSR output are derived for the IF signal; finally, the algorithm of the optimal matching STSR is proposed with the optimal matching parameters. The simulation results show that the algorithm can effectively solve the detection failure, as the global output SNR of DSFH is strongly improved that the output SNR can reach −17.72 dB when the input SNR is −20 dB after the processing of the optimal matching STSR. |
doi_str_mv | 10.1007/s12204-019-2136-9 |
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Firstly, the radio frequency (RF) and intermediate frequency (IF) signals are analyzed based on the super-heterodyne reception of DSFH; secondly, the equations of probability density function (PDF), output power spectrum and SNR of the STSR output are derived for the IF signal; finally, the algorithm of the optimal matching STSR is proposed with the optimal matching parameters. The simulation results show that the algorithm can effectively solve the detection failure, as the global output SNR of DSFH is strongly improved that the output SNR can reach −17.72 dB when the input SNR is −20 dB after the processing of the optimal matching STSR.</description><identifier>ISSN: 1007-1172</identifier><identifier>EISSN: 1995-8188</identifier><identifier>DOI: 10.1007/s12204-019-2136-9</identifier><language>eng</language><publisher>Shanghai: Shanghai Jiaotong University Press</publisher><subject>Algorithms ; Architecture ; Computer Science ; Computer simulation ; Electrical Engineering ; Engineering ; Frequency hopping ; Intermediate frequencies ; Life Sciences ; Matching ; Materials Science ; Probability density functions ; Radio frequency ; Resonance ; Signal to noise ratio ; Stochastic resonance ; Stochasticity ; Transformations (mathematics)</subject><ispartof>Shanghai jiao tong da xue xue bao, 2019-12, Vol.24 (6), p.775-781</ispartof><rights>Shanghai Jiao Tong University and Springer-Verlag GmbH Germany, part of Springer Nature 2019</rights><rights>Copyright Springer Nature B.V. 2019</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><cites>FETCH-LOGICAL-c1839-57d7085aaba713a6237d0bc0b9a983a734a0fa2601c72562d35c086bdce7b1d53</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,780,784,27923,27924</link.rule.ids></links><search><creatorcontrib>Liu, Guangkai</creatorcontrib><creatorcontrib>Sun, Huixian</creatorcontrib><creatorcontrib>Quan, Houde</creatorcontrib><creatorcontrib>Cui, Peizhang</creatorcontrib><creatorcontrib>Zhu, Shilei</creatorcontrib><creatorcontrib>Chi, Kuo</creatorcontrib><title>Preliminary Application of Scale Transformation Stochastic Resonance in Dual-Sequence Frequency Hopping System</title><title>Shanghai jiao tong da xue xue bao</title><addtitle>J. Shanghai Jiaotong Univ. (Sci.)</addtitle><description>Aiming at the detection failure of strong noise interference in the dual channel of the dual-sequence frequency hopping (DSFH), the scale transformation stochastic resonance (STSR) is applied for the first time, and the output signal to noise ratio (SNR) is raised effectively, at the same time, the symbol reception is completed for DSFH at low input SNR. Firstly, the radio frequency (RF) and intermediate frequency (IF) signals are analyzed based on the super-heterodyne reception of DSFH; secondly, the equations of probability density function (PDF), output power spectrum and SNR of the STSR output are derived for the IF signal; finally, the algorithm of the optimal matching STSR is proposed with the optimal matching parameters. The simulation results show that the algorithm can effectively solve the detection failure, as the global output SNR of DSFH is strongly improved that the output SNR can reach −17.72 dB when the input SNR is −20 dB after the processing of the optimal matching STSR.</description><subject>Algorithms</subject><subject>Architecture</subject><subject>Computer Science</subject><subject>Computer simulation</subject><subject>Electrical Engineering</subject><subject>Engineering</subject><subject>Frequency hopping</subject><subject>Intermediate frequencies</subject><subject>Life Sciences</subject><subject>Matching</subject><subject>Materials Science</subject><subject>Probability density functions</subject><subject>Radio frequency</subject><subject>Resonance</subject><subject>Signal to noise ratio</subject><subject>Stochastic resonance</subject><subject>Stochasticity</subject><subject>Transformations (mathematics)</subject><issn>1007-1172</issn><issn>1995-8188</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2019</creationdate><recordtype>article</recordtype><recordid>eNp1kM1OwzAQhC0EEqXwANwscTZ47SaOj1X5KVIlEClny3Gckiqxg50e-va4ChInTjtazcyuPoRugd4DpeIhAmN0QShIwoDnRJ6hGUiZkQKK4jzpZCIAgl2iqxj3lC4o53KG3HuwXdu3TocjXg5D1xo9tt5h3-DS6M7ibdAuNj70074cvfnScWwN_rDRO-2Mxa3DjwfdkdJ-H-xp8RwmdcRrPwyt2-HyGEfbX6OLRnfR3vzOOfp8ftqu1mTz9vK6Wm6IgYJLkola0CLTutICuM4ZFzWtDK2klgXXgi80bTTLKRjBspzVPDO0yKvaWFFBnfE5upt6h-DTI3FUe38ILp1UjDOegwCZJxdMLhN8jME2aghtn0gooOpETE1YVcKqTliVTBk2ZWLyup0Nf83_h34AhdF7ig</recordid><startdate>20191201</startdate><enddate>20191201</enddate><creator>Liu, Guangkai</creator><creator>Sun, Huixian</creator><creator>Quan, Houde</creator><creator>Cui, Peizhang</creator><creator>Zhu, Shilei</creator><creator>Chi, Kuo</creator><general>Shanghai Jiaotong University Press</general><general>Springer Nature B.V</general><scope>AAYXX</scope><scope>CITATION</scope><scope>7SC</scope><scope>7SP</scope><scope>7SR</scope><scope>7TB</scope><scope>7U5</scope><scope>8BQ</scope><scope>8FD</scope><scope>FR3</scope><scope>JG9</scope><scope>JQ2</scope><scope>KR7</scope><scope>L7M</scope><scope>L~C</scope><scope>L~D</scope></search><sort><creationdate>20191201</creationdate><title>Preliminary Application of Scale Transformation Stochastic Resonance in Dual-Sequence Frequency Hopping System</title><author>Liu, Guangkai ; Sun, Huixian ; Quan, Houde ; Cui, Peizhang ; Zhu, Shilei ; Chi, Kuo</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c1839-57d7085aaba713a6237d0bc0b9a983a734a0fa2601c72562d35c086bdce7b1d53</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2019</creationdate><topic>Algorithms</topic><topic>Architecture</topic><topic>Computer Science</topic><topic>Computer simulation</topic><topic>Electrical Engineering</topic><topic>Engineering</topic><topic>Frequency hopping</topic><topic>Intermediate frequencies</topic><topic>Life Sciences</topic><topic>Matching</topic><topic>Materials Science</topic><topic>Probability density functions</topic><topic>Radio frequency</topic><topic>Resonance</topic><topic>Signal to noise ratio</topic><topic>Stochastic resonance</topic><topic>Stochasticity</topic><topic>Transformations (mathematics)</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Liu, Guangkai</creatorcontrib><creatorcontrib>Sun, Huixian</creatorcontrib><creatorcontrib>Quan, Houde</creatorcontrib><creatorcontrib>Cui, Peizhang</creatorcontrib><creatorcontrib>Zhu, Shilei</creatorcontrib><creatorcontrib>Chi, Kuo</creatorcontrib><collection>CrossRef</collection><collection>Computer and Information Systems Abstracts</collection><collection>Electronics & Communications Abstracts</collection><collection>Engineered Materials Abstracts</collection><collection>Mechanical & Transportation Engineering Abstracts</collection><collection>Solid State and Superconductivity Abstracts</collection><collection>METADEX</collection><collection>Technology Research Database</collection><collection>Engineering Research Database</collection><collection>Materials Research Database</collection><collection>ProQuest Computer Science Collection</collection><collection>Civil Engineering Abstracts</collection><collection>Advanced Technologies Database with Aerospace</collection><collection>Computer and Information Systems Abstracts Academic</collection><collection>Computer and Information Systems Abstracts Professional</collection><jtitle>Shanghai jiao tong da xue xue bao</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Liu, Guangkai</au><au>Sun, Huixian</au><au>Quan, Houde</au><au>Cui, Peizhang</au><au>Zhu, Shilei</au><au>Chi, Kuo</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Preliminary Application of Scale Transformation Stochastic Resonance in Dual-Sequence Frequency Hopping System</atitle><jtitle>Shanghai jiao tong da xue xue bao</jtitle><stitle>J. Shanghai Jiaotong Univ. (Sci.)</stitle><date>2019-12-01</date><risdate>2019</risdate><volume>24</volume><issue>6</issue><spage>775</spage><epage>781</epage><pages>775-781</pages><issn>1007-1172</issn><eissn>1995-8188</eissn><abstract>Aiming at the detection failure of strong noise interference in the dual channel of the dual-sequence frequency hopping (DSFH), the scale transformation stochastic resonance (STSR) is applied for the first time, and the output signal to noise ratio (SNR) is raised effectively, at the same time, the symbol reception is completed for DSFH at low input SNR. Firstly, the radio frequency (RF) and intermediate frequency (IF) signals are analyzed based on the super-heterodyne reception of DSFH; secondly, the equations of probability density function (PDF), output power spectrum and SNR of the STSR output are derived for the IF signal; finally, the algorithm of the optimal matching STSR is proposed with the optimal matching parameters. The simulation results show that the algorithm can effectively solve the detection failure, as the global output SNR of DSFH is strongly improved that the output SNR can reach −17.72 dB when the input SNR is −20 dB after the processing of the optimal matching STSR.</abstract><cop>Shanghai</cop><pub>Shanghai Jiaotong University Press</pub><doi>10.1007/s12204-019-2136-9</doi><tpages>7</tpages></addata></record> |
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subjects | Algorithms Architecture Computer Science Computer simulation Electrical Engineering Engineering Frequency hopping Intermediate frequencies Life Sciences Matching Materials Science Probability density functions Radio frequency Resonance Signal to noise ratio Stochastic resonance Stochasticity Transformations (mathematics) |
title | Preliminary Application of Scale Transformation Stochastic Resonance in Dual-Sequence Frequency Hopping System |
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