scispace - formally typeset
Journal ArticleDOI

Channel coding with multilevel/phase signals

G. Ungerboeck
- 01 Jan 1982 - 
- Vol. 28, Iss: 1, pp 55-67
Reads0
Chats0
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.

read more

Citations
More filters

The Capacity of Average and Peak-Power-Limited

TL;DR: In this article, the capacity of the discrete-time quadrature additive Gaussian channel (QAGC) with inputs subjected to (normalized) average and peak power constraints, pa and pp respectively, is considered.
Book

Foundations of MIMO Communication

TL;DR: Understand the fundamentals of wireless and MIMO communication with this accessible and comprehensive text, which provides a sound treatment of the key concepts underpinning contemporary wireless communication and M IMO, all the way to massive MIMo.
Book

Near-Capacity Multi-Functional MIMO Systems: Sphere-Packing, Iterative Detection and Cooperation

TL;DR: TheWireless Channel and the Concept of Diversity, a Coherent Versus Differential Turbo Detection of Sphere-packing-aided Single-user MIMO Systems, and a Universal Approach to Space-Time Block Codes: A Universal Approach are reviewed.
Journal ArticleDOI

Adaptive trellis-coded multiple-phase-shift keying for Rayleigh fading channels

TL;DR: It is shown that ATCMPSK results in considerable improvement in bit-error-rate (BER) performance of MPSK signals, and gains in the range of 3-20 dB are achieved over conventional fixed rate pragmatic trellis-coded schemes.
References
More filters
Book

Information Theory and Reliable Communication

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.
Book

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.