Blind joint equalization of multiple synchronous mobile users using oversampling and/or multiple antennas

We consider multiple (p) users that operate on the same carrier frequency and use the same linear digital modulation format. We consider m>p antennas receiving mixtures of these signals through multipath propagation (equivalently, oversampling of the received signals of a smaller number of antenn...

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Published inProceedings of 1994 28th Asilomar Conference on Signals, Systems and Computers Vol. 2; pp. 1154 - 1158 vol.2
Main Author Slock, D.T.M.
Format Conference Proceeding
LanguageEnglish
Published IEEE Comput. Soc. Press 1994
Subjects
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ISBN0818664053
9780818664052
ISSN1058-6393
DOI10.1109/ACSSC.1994.471640

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Abstract We consider multiple (p) users that operate on the same carrier frequency and use the same linear digital modulation format. We consider m>p antennas receiving mixtures of these signals through multipath propagation (equivalently, oversampling of the received signals of a smaller number of antenna signals could be used). We consider conditions on the matrix channel response for the existence of a zero-forcing equalizer (ZFE) (which cancels intersymbol and inter-user interference). In the noise free case, we show how a ZFE can be obtained from linear prediction and the channel matrix itself can also be determined as a byproduct. The problem is one of signal and noise subspaces and we show a convenient way of solving the deterministic maximum likelihood problem using a minimal linear parameterization of the noise subspace. This parameterization is found as a byproduct in the linear prediction problem.< >
AbstractList We consider multiple (p) users that operate on the same carrier frequency and use the same linear digital modulation format. We consider m>p antennas receiving mixtures of these signals through multipath propagation (equivalently, oversampling of the received signals of a smaller number of antenna signals could be used). We consider conditions on the matrix channel response for the existence of a zero-forcing equalizer (ZFE) (which cancels intersymbol and inter-user interference). In the noise free case, we show how a ZFE can be obtained from linear prediction and the channel matrix itself can also be determined as a byproduct. The problem is one of signal and noise subspaces and we show a convenient way of solving the deterministic maximum likelihood problem using a minimal linear parameterization of the noise subspace. This parameterization is found as a byproduct in the linear prediction problem.< >
Author Slock, D.T.M.
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Snippet We consider multiple (p) users that operate on the same carrier frequency and use the same linear digital modulation format. We consider m>p antennas receiving...
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StartPage 1154
SubjectTerms Additive noise
Blind equalizers
Chirp modulation
Digital modulation
Equations
Finite impulse response filter
Mobile antennas
Mobile communication
Noise cancellation
Receiving antennas
Title Blind joint equalization of multiple synchronous mobile users using oversampling and/or multiple antennas
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Volume 2
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