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Blind channel identification based on second-order statistics: a frequency-domain approach

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TLDR
In this communication, necessary and sufficient conditions are presented for the unique blind identification of possibly nonminimum phase channels driven by cyclostationary processes and a new identification algorithm is proposed.
Abstract
In this communication, necessary and sufficient conditions are presented for the unique blind identification of possibly nonminimum phase channels driven by cyclostationary processes. Using a frequencydomain formulation, it is first shown that a channel can be identified by the second-order statistics of the observation if and only if the channel transfer function does not have special uniformly spaced zeros. This condition leads to several necessary and sufficient conditions on the observation spectra and the channel impulse response. Based on the frequency-domain formulation, a new identification algorithm is proposed

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Cyclostationarity: half a century of research

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Redundant filterbank precoders and equalizers. I. Unification and optimal designs

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Multichannel blind identification: from subspace to maximum likelihood methods

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References
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Journal ArticleDOI

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

Space-time processing for wireless communications

TL;DR: This article focuses largely on the receive (mobile-to-base station) time-division multiple access (TDMA) (nonspread modulation) application for high-mobility networks and describes a large cell propagation channel and develops a signal model incorporating channel effects.
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

Blind equalization using the constant modulus criterion: a review

TL;DR: The topical decisions utilized in this tutorial can be used to help catalog the emerging literature on the CM criterion and on the behavior of (stochastic) gradient descent algorithms used to minimize it.
Journal ArticleDOI

Minimal Bases of Rational Vector Spaces, with Applications to Multivariable Linear Systems

TL;DR: It is shown how minimal bases can be used to factor a transfer function matrix G in the form $G = ND^{ - 1} $, where N and D are polynomial matrices that display the controllability indices of G and its controller canonical realization.
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