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Journal ArticleDOI

Channel coding with multilevel/phase signals

G. Ungerboeck
- 01 Jan 1982 - 
- Vol. 28, Iss: 1, pp 55-67
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TLDR
A coding technique is described which improves error performance of synchronous data links without sacrificing data rate or requiring more bandwidth by channel coding with expanded sets of multilevel/phase signals in a manner which increases free Euclidean distance.
Abstract
A coding technique is described which improves error performance of synchronous data links without sacrificing data rate or requiring more bandwidth. This is achieved by channel coding with expanded sets of multilevel/phase signals in a manner which increases free Euclidean distance. Soft maximum--likelihood (ML) decoding using the Viterbi algorithm is assumed. Following a discussion of channel capacity, simple hand-designed trellis codes are presented for 8 phase-shift keying (PSK) and 16 quadrature amplitude-shift keying (QASK) modulation. These simple codes achieve coding gains in the order of 3-4 dB. It is then shown that the codes can be interpreted as binary convolutional codes with a mapping of coded bits into channel signals, which we call "mapping by set partitioning." Based on a new distance measure between binary code sequences which efficiently lower-bounds the Euclidean distance between the corresponding channel signal sequences, a search procedure for more powerful codes is developed. Codes with coding gains up to 6 dB are obtained for a variety of multilevel/phase modulation schemes. Simulation results are presented and an example of carrier-phase tracking is discussed.

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Citations
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Shaping multidimensional signal spaces. II. Shell-addressed constellations

TL;DR: The authors describe some practical means for selecting the boundary of a multidimensional signal constellation so as to achieve a point with low addressing complexity near the knee of the corresponding tradeoff curves (shaping gain versus CER/sub s/ or PAR).
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Multidimensional mappings for iteratively decoded BICM on multiple-antenna channels

TL;DR: Multi-dimensional mapping constructions that exhibit high signal-to-noise ratio (SNR) gains without increasing the complexity of the a posteriori probability (APP) detection are proposed to allow for a reduced decoding complexity as they achieve near turbo code performance with a single convolutional code.
Proceedings ArticleDOI

Diversity-embedded space-time codes

TL;DR: This paper designs high-rate space-time codes that have a high-diversity code embedded within them and demonstrates that diversity-embedded codes have the potential to outperform traditional single-layer codes in moderate signal-to-noise (SNR) regimes.
Journal ArticleDOI

Rate 3/4 Convolutional Coding of 16-PSK: Code Design and Performance Study

TL;DR: Small memory codes are found which are optimized in the free-distance sense on the Gaussian channel which provide up to 4.8 dB of coding gain with 32 states over uncoded 8-PSK, a scheme having the same spectral efficiency as the codes described.
Journal ArticleDOI

Challenges and some new directions in channel coding

TL;DR: Three areas of ongoing research in channel coding are surveyed, and recent developments are presented in each area: Spatially coupled low-density parity-check (LDPC) codes, non-binary LDPC codes, and polar coding.
References
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TL;DR: This chapter discusses Coding for Discrete Sources, Techniques for Coding and Decoding, and Source Coding with a Fidelity Criterion.
Journal ArticleDOI

The viterbi algorithm

TL;DR: This paper gives a tutorial exposition of the Viterbi algorithm and of how it is implemented and analyzed, and increasing use of the algorithm in a widening variety of areas is foreseen.
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Principles of Communication Engineering

TL;DR: Textbook on communication engineering emphasizing random processes, information and detection theory, statistical communication theory, applications, etc.
Journal ArticleDOI

Convolutional codes I: Algebraic structure

TL;DR: Minimal encoders are shown to be immune to catastrophic error propagation and, in fact, to lead in a certain sense to the shortest decoded error sequences possible per error event.
Journal ArticleDOI

Coherent and Noncoherent Detection CPFSK

TL;DR: This work provides a complete analysis of the performance of CPFSK at high SNR as well as low SNR and thereby unifies and extends the results previously available.