Joint Erasure Marking and Viterbi Decoding Algorithm for Unknown Impulsive Noise Channels

In many real-world communication systems, the extent of non-Gaussian impulsive noise (IN) rather than Gaussian noise poses practical limits on the achievable system performance. The decoding of IN-corrupted signals is complicated by the fact that accurate IN statistics are typically unavailable at t...

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Bibliographic Details
Published in:	IEEE transactions on wireless communications Vol. 7; no. 9; pp. 3407 - 3416
Main Authors:	Tao Li, Tao Li, Wai Ho Mow, Wai Ho Mow, Manhung Siu, Manhung Siu
Format:	Journal Article
Language:	English
Published:	Piscataway, NJ IEEE 01.09.2008 Institute of Electrical and Electronics Engineers The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects:	Algorithms Applied sciences Atmospheric modeling channel decoding Channels Coding, codes Communication systems Decoders Electromagnetic interference erasure marking Euclidean distance Exact sciences and technology Gaussian noise Impulsive noise Information, signal and communications theory Mathematical models Maximum likelihood decoding Maximum likelihood estimation Noise Signal and communications theory Statistics Studies Systems, networks and services of telecommunications Telecommunications Telecommunications and information theory Transmission and modulation (techniques and equipments) Viterbi algorithm Viterbi decoding Wireless communication Working environment noise Performance evaluation Convolutional code Bernoulli scheme Non gaussian noise Data transmission Impulsive noise channel decoding Implementation Maximum likelihood decoding Statistical method Viterbi code Pulse noise erasure marking Gaussian process Viterbi algorithm Gaussian noise Telecommunication system Probability density function Metric Viterbi decoding
ISSN:	1536-1276, 1558-2248
Online Access:	Get full text
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