Proceedings ArticleDOI
Evaluation of decoding trade-offs of concatenated RS convolutional codes and turbo codes via trellis
Pavithra Balaji,C. Pavan Kumar,R. Selvakumar,Raghunadh K. Bhattar +3 more
- pp 300-304
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TLDR
The aim is to analyze decoding complexity of concatenated Reed - Solomon Convolutional codes and Turbo codes by their trellis complexity and their state dimension profile.Abstract:
Deep Space Communication channel basically operates in a highly power-limited regime and as a result has a very low signal-to-noise ratio; to a great extent it becomes obvious to decide upon better coding techniques to achieve high coding gain, high spectral efficiency to aim for less probability of error and ultimately reach Shannon limit. Based on this view point, in 1970s Reed-Solomon Convolutional Concatenated (RSCC) codes captured lot of attention with rate-1 4 inner convolutional code and a variable-strength Reed Solomon outer code which achieved coding gain of nearly 10.2 dB with probability of error approximately 2.10−7. However, in terms of error probability a better coding scheme called Turbo codes a capacity approaching code were developed by Jet Propulsion Laboratory (JPL) that had very low error rates at a moderate block lengths. In this paper, our aim is to analyze decoding complexity of concatenated Reed — Solomon Convolutional codes and Turbo codes by their trellis complexity and their state dimension profile.read more
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Proceedings Article
Coset codes. I: Introduction and geometrical classification
TL;DR: A coset code is defined by a lattice partition Lambda / Lambda and by a binary encoder C that selects a sequence of cosets of the lattice Lambda as discussed by the authors.
References
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Journal ArticleDOI
Near optimum error correcting coding and decoding: turbo-codes
Claude Berrou,A. Glavieux +1 more
TL;DR: A new family of convolutional codes, nicknamed turbo-codes, built from a particular concatenation of two recursive systematic codes, linked together by nonuniform interleaving appears to be close to the theoretical limit predicted by Shannon.
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Coset codes. I. Introduction and geometrical classification
TL;DR: The known types of coset codes, as well as a number of new classes that systematize and generalize known codes, are classified and compared in terms of these parameters.
Journal ArticleDOI
Efficient maximum likelihood decoding of linear block codes using a trellis
TL;DR: It is shown that soft decision maximum likelihood decoding of any (n,k) linear block code over GF(q) can be accomplished using the Viterbi algorithm applied to a trellis with no more than q^{(n-k)} states.
Book
Turbo Codes: Principles and Applications
Branka Vucetic,Jinhong Yuan +1 more
TL;DR: This chapter discusses Turbo Coding Performance Analysis and Code Design, which focuses on Turbo Trellis Coded Modulation Schemes, and applications of Turbo Codes.
Journal ArticleDOI
Channel Coding: The Road to Channel Capacity
G.D. Forney,D.J. Costello +1 more
TL;DR: The contributions that have led to the most significant improvements in performance versus complexity for practical applications are focused on, particularly on the additive white Gaussian noise channel.