Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/324737
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dc.date.accessioned2021-05-07T05:56:14Z-
dc.date.available2021-05-07T05:56:14Z-
dc.identifier.urihttp://hdl.handle.net/10603/324737-
dc.description.abstractRapid advancement in wireless communication systems demand energy efficient and performance enhanced error correction schemes. Error correcting codes have become an integral part of many wireless communication systems. The Shannon performance approaching codes like turbo codes, LDPC codes, polar codes and repeat-accumulate (RA) codes are now being widely used in many of the practical channels. Turbo codes invented by Claude Berrou in 1993 are efficiently decodable using iterative techniques. Turbo codes have the dual benefit of having a code structure that can achieve newlinenear Shannon performance and an efficient decoder design. In spite of the complexity newlineassociated with iterative decoding of turbo codes, it has become a code of choice for many applications like satellite communication, mobile communication, WiMAX, and wireless sensor networks (WSNs). The conventional iterative turbo decoder which uses maximum a posteriori (MAP) or its variants like log-MAP or Max-log-MAP as the constituent decoder performs affixed number of iterations irrespective of the channel conditions and information block size. Reliable and low latency communication has gained paramount significance in the recent years with the increased interest in current and emerging communication applications like satellite telecommand, machine to machine communication, cellular networks, WSNs, smart buildings, and ultra reliable low latency communication. Practically, transmission with long data stream introduces decoding delay and complexity. To achieve reliable and low latency communication, information transmission using short block length messages is required. However as information block length reduces, conventional iterative turbo decoding results in performance degradation and high error floor .Developing soft decision decoding algorithms to achieve reliable and low latency communication with short block length messages still remains an open research problem. This research work focuses on enhancing the error correction performance...
dc.format.extentxxiv, 206
dc.languageEnglish
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dc.rightsuniversity
dc.titleDevelopment and Study of a Class of Generic Reliability Based Direct Decoding Approaches for Turbo Codes
dc.title.alternative
dc.creator.researcherSalija P
dc.subject.keywordBit error rate (BER), Check equation (CE), Decoding, Reliability, Turbo codes, soft decision decoder,SOVA , complexity reduction, wireless sensor networks (WSNs)
dc.subject.keywordelectronics and communication engineering
dc.description.note
dc.contributor.guideYamuna B and Padmanabhan T R
dc.publisher.placeCoimbatore
dc.publisher.universityAmrita Vishwa Vidyapeetham University
dc.publisher.institutionDept. of Electronics and Communication Engineering
dc.date.registered2014
dc.date.completed2019
dc.date.awarded2019
dc.format.dimensions
dc.format.accompanyingmaterialCD
dc.source.universityUniversity
dc.type.degreePh.D.
Appears in Departments:Department of Electronics & Communication Engineering (Amrita School of Engineering)

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02_certificate.pdf94.23 kBAdobe PDFView/Open
03_declaration.pdf46.55 kBAdobe PDFView/Open
04_dedicated.pdf11.7 kBAdobe PDFView/Open
05_contents.pdf50.37 kBAdobe PDFView/Open
06_acknowledgement.pdf51.38 kBAdobe PDFView/Open
07_list of figure.pdf98.24 kBAdobe PDFView/Open
08_list of tables.pdf84.04 kBAdobe PDFView/Open
09_abbreviation.pdf48.06 kBAdobe PDFView/Open
10_list of symbols.pdf96.17 kBAdobe PDFView/Open
11_abstract.pdf67.05 kBAdobe PDFView/Open
12_chapter 1.pdf98.22 kBAdobe PDFView/Open
13_chapter 2.pdf351.61 kBAdobe PDFView/Open
14_chapter 3.pdf1.3 MBAdobe PDFView/Open
15_chapter 4.pdf259.36 kBAdobe PDFView/Open
16_chapter 5.pdf428.14 kBAdobe PDFView/Open
17_chapter 6.pdf258.7 kBAdobe PDFView/Open
18_chapter 7.pdf422.86 kBAdobe PDFView/Open
19_chapter 8.pdf77.52 kBAdobe PDFView/Open
20_references.pdf122.81 kBAdobe PDFView/Open
21_appendix.pdf304.75 kBAdobe PDFView/Open
22_publications.pdf69.98 kBAdobe PDFView/Open
80_recommendation.pdf170.95 kBAdobe PDFView/Open


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