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 in | Proceedings of 1994 28th Asilomar Conference on Signals, Systems and Computers Vol. 2; pp. 1154 - 1158 vol.2 | 
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| Main Author | |
| Format | Conference Proceeding | 
| Language | English | 
| Published | 
            IEEE Comput. Soc. Press
    
        1994
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| Subjects | |
| Online Access | Get full text | 
| ISBN | 0818664053 9780818664052  | 
| ISSN | 1058-6393 | 
| DOI | 10.1109/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.< > | 
    
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| 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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| PublicationTitle | Proceedings of 1994 28th Asilomar Conference on Signals, Systems and Computers | 
    
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| PublicationYear | 1994 | 
    
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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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