Journal ArticleDOI
A new method of channel identification
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A method of channel identification is proposed that exploits the spectral correlation properties of pulse- and carrier-modulated signals to identify channels in the presence of arbitrary noise and nearly arbitrary interference.Abstract:
A method of channel identification is proposed that exploits the spectral correlation properties of pulse- and carrier-modulated signals to identify channels in the presence of arbitrary noise and nearly arbitrary interference Although a pilot or training signal is required, no replica of the transmitted pilot/training signal is needed at the receiver The price paid for this simplicity and the tolerance to extreme channel corruption from noise or interference is that the method is slow That is, relatively long averaging times are needed for measurement of the spectral correlation of the received signal >read more
Citations
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Blind identification and equalization based on second-order statistics: a time domain approach
TL;DR: Simulations have demonstrated promising performance of the proposed algorithm for the blind equalization of a three-ray multipath channel, which may achieve equalization with fewer symbols than most techniques based only on higher-order statistics.
Journal ArticleDOI
Cyclostationarity: half a century of research
TL;DR: A concise survey of the literature on cyclostationarity is presented and includes an extensive bibliography and applications of cyclostatedarity in communications, signal processing, and many other research areas are considered.
Journal ArticleDOI
A least-squares approach to blind channel identification
TL;DR: A new blind identification algorithm based solely on the system outputs is proposed and necessary and sufficient identifiability conditions in terms of the multichannel systems and the deterministic input signal are presented.
Journal ArticleDOI
Cyclostationarity by examples
TL;DR: In this paper, a tutorial on cyclostationarity oriented towards mechanical applications is presented, with 20 examples devoted to illustrating key concepts on actual mechanical signals and demonstrating how cyclostatarity can be taken advantage of in machine diagnostics, identification of mechanical systems and separation of mechanical sources.
Journal ArticleDOI
Blind system identification
TL;DR: A number of recently developed concepts and techniques for BSI, which include the concept of blind system identifiability in a deterministic framework, the blind techniques of maximum likelihood and subspace for estimating the system's impulse response, and other techniques for direct estimation of the system input are reviewed.
References
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Journal ArticleDOI
Adaptive equalization
TL;DR: In this article, the authors give an overview of the current state of the art in adaptive equalization and discuss the convergence and steady-state properties of least mean square (LMS) adaptation algorithms.
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.