The following information was submitted:
Transactions: WSEAS TRANSACTIONS ON COMMUNICATIONS
Transactions ID Number: 53-308
Full Name: Aarthi V
Position: Student
Age: ON
Sex: Female
Address: Bannari Amman Institute of Technology, Sathyamangalam, Erode
Country: INDIA
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E-mail address: aarthivellingiri@gmail.com
Other E-mails: aar_vel@yahoo.co.in
Title of the Paper: Effect of Constraint Length and Code Rate on the Performance of Enhanced Turbo Codes in AWGN and Rayleigh Fading Channel
Authors as they appear in the Paper: V.Aarthi and T.Gnanasekaran
Email addresses of all the authors: aarthivellingiri@gmail.com, t.gnanasekaran@gmail.com
Number of paper pages: 10
Abstract: Turbo coding (TC) has been adopted as a channel coding scheme for several 3G mobile systems, in particular 3GPP (Third Generation Partnership Project) and in upcoming 4G standards for high data rates. Turbo decoder uses Maximum A posteriori Probability (MAP), or Soft Output Viterbi Algorithm (SOVA) because it produces error correction near to Shannon's limit. A simple but effective technique to improve the performance of the decoding algorithms is to scale the extrinsic information exchanged between two decoders. Modified Log MAP (MMAP) and Modified SOVA (MSOVA) algorithms are achieved by fixing an arbitrary value of scaling factor for inner decoder (S2) and an optimized value for the outer decoder (S1). We proposed to enhance the performance of MMAP and MSOVA by optimizing both the scaling factors S1 and S2, thus achieving low bit error rate (BER). This paper investigates the effects of constraint length and code rate on the performance of the enhanced Turbo codes!
. A comprehensive analysis of the algorithms considering different channel conditions and iterations are also presented.
Keywords: Constraint Length, Extrinsic information, MAP, Scaling Factor, SOVA, Turbo codes.
EXTENSION of the file: .pdf
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How Did you learn about congress: Digital Communication, Error correction codes, physical layer, Channel Coding
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