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Journal ArticleDOI

A new multilevel coding method using error-correcting codes

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TLDR
A new multilevel coding method that uses several error-correcting codes that makes effective use of soft-decisions to improve the performance of decoding and is superior to other multileVEL coding systems.
Abstract
A new multilevel coding method that uses several error-correcting codes is proposed. The transmission symbols are constructed by combining symbols of codewords of these codes. Usually, these codes are binary error-correcting codes and have different error-correcting capabilities. For various channels, efficient systems can be obtained by choosing these codes appropriately. Encoding and decoding procedures for this method are relatively simple compared with those of other multilevel coding methods. In addition, this method makes effective use of soft-decisions to improve the performance of decoding. The decoding error probability is analyzed for multiphase modulation, and numerical comparisons to other multilevel coding systems are made. When equally complex systems are compared, the new system is superior to other multilevel coding systems.

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Citations
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Journal ArticleDOI

Future Prospects for FEC in Fiber-Optic Communications

TL;DR: A novel faster than Nyquist style binary signaling scheme, providing significant rate improvements over a reference benchmark system, is described, to illustrate the potential for applying advanced FEC techniques that take channel nonlinearities into account.
Proceedings ArticleDOI

How to combat long echoes in OFDM transmission schemes: sub-channel equalization or more powerful channel coding

Emanuele Viterbo, +1 more
TL;DR: Simulation results show that using powerful channel coding, rather than equalization, can partly restore the degradation caused by a shorter guard-time.
Journal ArticleDOI

Multilevel coding in free-space optical MIMO transmission with Q-ary PPM over the atmospheric turbulence channel

TL;DR: An efficient coded modulation scheme for multiple input/multiple output free-space optical systems with Q-ary pulse-position modulation based on multilevel coding and low-density parity-check codes as component codes is proposed.
Journal ArticleDOI

Superposition coded modulation and iterative linear MMSE detection

TL;DR: It is proved that among all possible signaling methods, SCM maximizes the output signal-to-noise/ interference ratio (SNIR) in the LMMSE estimates during iterative detection.
Proceedings ArticleDOI

Integer low-density lattices based on construction A

TL;DR: Besides their excellent performance near the capacity limit, LDA lattice construction is conceptually simpler than previously proposed lattices based on multiple nested binary codes and LDA decoding is less complex than real-valued message passing.
References
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Journal ArticleDOI

Convolutional Codes and Their Performance in Communication Systems

TL;DR: This tutorial paper begins with an elementary presentation of the fundamental properties and structure of convolutional codes and proceeds with the development of the maximum likelihood decoder, which yields for arbitrary codes both the distance properties and upper bounds on the bit error probability.
Journal ArticleDOI

Short convolutional codes with maximal free distance for rates 1/2, 1/3, and 1/4 (Corresp.)

TL;DR: In this paper, the authors gave a tabulation of binary convolutional codes with maximum free distance for rates of 1/2, 1/3, and 1/4 for all constraint lengths up to and including nu = 14.
Journal ArticleDOI

Short binary convolutional codes with maximal free distance for rates 2/3 and 3/4 (Corresp.)

TL;DR: In this paper, a search procedure was developed to find good short binary (N,N - 1) convolutional codes using simple rules to discard from the complete ensemble of codes a large fraction whose free distance d{free} either cannot achieve the maximum value or is equal to d_{free} of some code in the remaining set.
Journal ArticleDOI

Correction of errors in multilevel Gray coded data

TL;DR: Certain classes of low-rate binary codes that have simple decoding algorithms can be used as underlying codes in the construction of high-rate easily decodable i -compressed codes, which have higher rates than binary codes of comparable length and number of correctable errors.