The performance of a low complexity decision aided turbo equalization using NSC and RSC codes
In this paper a low complexity adaptive Turbo equalization scheme using classical nonsystematic and recently proposed recursive systematic convolutional codes (NSC and RSC) has been analyzed. Although it was shown that at low signal to noise ratio (SNR), RSC outperforms the best NSC codes, in terms...
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| creator | Trajkovic, V.D. Rapajic, P.B. |
| description | In this paper a low complexity adaptive Turbo equalization scheme using classical nonsystematic and recently proposed recursive systematic convolutional codes (NSC and RSC) has been analyzed. Although it was shown that at low signal to noise ratio (SNR), RSC outperforms the best NSC codes, in terms of bit error rate (BER), it is not the case when both codes are used in the proposed adaptive Turbo scheme. The results have been confirmed by simulations when the communication is performed over different communication channels and different code constraint lengths. |
| doi_str_mv | 10.1109/TELSKS.2003.1246262 |
| format | Conference Proceeding |
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Although it was shown that at low signal to noise ratio (SNR), RSC outperforms the best NSC codes, in terms of bit error rate (BER), it is not the case when both codes are used in the proposed adaptive Turbo scheme. The results have been confirmed by simulations when the communication is performed over different communication channels and different code constraint lengths.</description><identifier>ISBN: 0780379632</identifier><identifier>ISBN: 9780780379633</identifier><identifier>DOI: 10.1109/TELSKS.2003.1246262</identifier><language>eng</language><publisher>IEEE</publisher><subject>Adaptive equalizers ; AWGN ; Bit error rate ; Communication channels ; Convolution ; Convolutional codes ; Decision feedback equalizers ; Finite impulse response filter ; Maximum likelihood estimation ; Signal to noise ratio</subject><ispartof>6th International Conference on Telecommunications in Modern Satellite, Cable and Broadcasting Service, 2003. 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The results have been confirmed by simulations when the communication is performed over different communication channels and different code constraint lengths.</description><subject>Adaptive equalizers</subject><subject>AWGN</subject><subject>Bit error rate</subject><subject>Communication channels</subject><subject>Convolution</subject><subject>Convolutional codes</subject><subject>Decision feedback equalizers</subject><subject>Finite impulse response filter</subject><subject>Maximum likelihood estimation</subject><subject>Signal to noise ratio</subject><isbn>0780379632</isbn><isbn>9780780379633</isbn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>2003</creationdate><recordtype>conference_proceeding</recordtype><sourceid>6IE</sourceid><sourceid>RIE</sourceid><recordid>eNotkMtOwzAQRS0hJKD0C7rxD7TYntiJlygqD1GBRMsSVRN7DEZJHJJUUL6eIno2Z3Gku7iMzaRYSCns1Wa5Wj-sF0oIWEiVGWXUCbsQeSEgtwbUGZsOw4c4kGmwxp6z18078Y76kPoGW0c8BY68Tl_cpaar6TuOe-7JxSGmlmP05Pm466vE6XOHdfzB8S_shti-8cd1ybH1_PlglzwNl-w0YD3Q9OgJe7lZbsq7-erp9r68Xs2jzPU4D7pCEzKZO4tUaC0NoAKULgcynkxmhAayypANATNfFLLwlRSEhABQwITN_ncjEW27PjbY77fHB-AXkBpSjQ</recordid><startdate>2003</startdate><enddate>2003</enddate><creator>Trajkovic, V.D.</creator><creator>Rapajic, P.B.</creator><general>IEEE</general><scope>6IE</scope><scope>6IL</scope><scope>CBEJK</scope><scope>RIE</scope><scope>RIL</scope></search><sort><creationdate>2003</creationdate><title>The performance of a low complexity decision aided turbo equalization using NSC and RSC codes</title><author>Trajkovic, V.D. ; Rapajic, P.B.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-i175t-f5ba6f417c9ae855163a23a1c73e6de646053e926e9ffa4d8818db10eaea33383</frbrgroupid><rsrctype>conference_proceedings</rsrctype><prefilter>conference_proceedings</prefilter><language>eng</language><creationdate>2003</creationdate><topic>Adaptive equalizers</topic><topic>AWGN</topic><topic>Bit error rate</topic><topic>Communication channels</topic><topic>Convolution</topic><topic>Convolutional codes</topic><topic>Decision feedback equalizers</topic><topic>Finite impulse response filter</topic><topic>Maximum likelihood estimation</topic><topic>Signal to noise ratio</topic><toplevel>online_resources</toplevel><creatorcontrib>Trajkovic, V.D.</creatorcontrib><creatorcontrib>Rapajic, P.B.</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>Trajkovic, V.D.</au><au>Rapajic, P.B.</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>The performance of a low complexity decision aided turbo equalization using NSC and RSC codes</atitle><btitle>6th International Conference on Telecommunications in Modern Satellite, Cable and Broadcasting Service, 2003. TELSIKS 2003</btitle><stitle>TELSKS</stitle><date>2003</date><risdate>2003</risdate><volume>2</volume><spage>433</spage><epage>436 vol.2</epage><pages>433-436 vol.2</pages><isbn>0780379632</isbn><isbn>9780780379633</isbn><abstract>In this paper a low complexity adaptive Turbo equalization scheme using classical nonsystematic and recently proposed recursive systematic convolutional codes (NSC and RSC) has been analyzed. Although it was shown that at low signal to noise ratio (SNR), RSC outperforms the best NSC codes, in terms of bit error rate (BER), it is not the case when both codes are used in the proposed adaptive Turbo scheme. The results have been confirmed by simulations when the communication is performed over different communication channels and different code constraint lengths.</abstract><pub>IEEE</pub><doi>10.1109/TELSKS.2003.1246262</doi></addata></record> |
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| identifier | ISBN: 0780379632 |
| ispartof | 6th International Conference on Telecommunications in Modern Satellite, Cable and Broadcasting Service, 2003. TELSIKS 2003, 2003, Vol.2, p.433-436 vol.2 |
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| language | eng |
| recordid | cdi_ieee_primary_1246262 |
| source | IEEE Electronic Library (IEL) Conference Proceedings |
| subjects | Adaptive equalizers AWGN Bit error rate Communication channels Convolution Convolutional codes Decision feedback equalizers Finite impulse response filter Maximum likelihood estimation Signal to noise ratio |
| title | The performance of a low complexity decision aided turbo equalization using NSC and RSC codes |
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