Journal ArticleDOI
Statistical detection for communication channels with intersymbol interference
K. Abend,B.D. Fritchman +1 more
- Vol. 58, Iss: 5, pp 779-785
TLDR
Simulation results show the optimum detector under a fixed delay constraint D to outperform a transversal equalizer even for relatively small values of D.Abstract:
The optimum detector under a fixed delay constraint D is derived for channels having memory and additive noise. The resulting receiver is recursive and does not grow with the message length. Its structure is presented for linear channels (AM and PSK) with known (or estimated) impulse response and noise statistics. The intersymbol interference is assumed to extend for L sampling periods and the receiver is allowed a "look-ahead" at D future received samples. Simulation results using actual channel characteristics show the detector to outperform a transversal equalizer even for relatively small values of D.read more
Citations
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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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Maximum-likelihood sequence estimation of digital sequences in the presence of intersymbol interference
TL;DR: In this paper, a maximum likelihood sequence estimator for a digital pulse-amplitude-modulated sequence in the presence of finite intersymbol interference and white Gaussian noise is developed, which comprises a sampled linear filter, called a whitened matched filter, and a recursive nonlinear processor, called the Viterbi algorithm.
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Adaptive equalization
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Adaptive equalization
TL;DR: This tutorial paper gives an overview of the current state of the art in adaptive equalization and discusses the convergence and steady-state properties of least mean-square (LMS) adaptation algorithms, including digital precision considerations, and three classes of rapidly converging adaptive equalizer algorithms.
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Fifty Years of MIMO Detection: The Road to Large-Scale MIMOs
Shaoshi Yang,Lajos Hanzo +1 more
TL;DR: In this article, the authors provide a recital on the historic heritages and novel challenges facing massive/large-scale multiple-input multiple-output (LS-MIMO) systems from a detection perspective.
References
More filters
Journal ArticleDOI
On receiver structures for channels having memory
R. Chang,J. Hancock +1 more
TL;DR: Receiver structures are developed for making jointly optimum decisions about L consecutive symbols on the basis of the complete message received and the decision statistics are computed by a sequential procedure, and the number of computations increases only linearly with the message length.
Journal ArticleDOI
An adaptive receiver for digital signaling through channels with intersymbol interference
J. Proakis,James H. Miller +1 more
TL;DR: A tutorial paper on an adaptive receiver that is suitable for high-speed digital signaling over slowly time-varying, band-limited channels which have impulse responses that are unknown at the receiver is presented.
Journal ArticleDOI
Decision making in Markov chains applied to the problem of pattern recognition
TL;DR: The optimal decision rule is derived under the assumption of Markov dependence among the patterns to be recognized and applied to character-recognition problems.
Journal ArticleDOI
On optimum receivers for channels having memory (Corresp.)
Journal ArticleDOI
Bayesian decision procedure for interfering digital signals (Corresp.)
TL;DR: The Bayesian decision procedure is given to determine a finite sequence of n m -ary digits that have been transmitted through a channel that has memory and introduces additive noise to combat intersymbol interference and additive noise.