Quasi-Newton constant modulus adaptive algorithm for use in multi-user communication systems

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Quasi-Newton constant modulus adaptive algorithm for use in multi-user communication systems

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A new quasi-Newton multi-user constant modulus algorithm (QN-MUCMA) for mitigation of intersymbol interference (ISI) and cochannel interference (CCI) in multi-user communications is introduced. Compared with the conventional constant modulus algorithm with decorrelation cost, the proposed algorithm achieves fast convergence by the exploitation of Hessian information within the weight update equation. Simulations support the improved convergence properties of the algorithm.

Inspec keywords: intersymbol interference; Hessian matrices; blind equalisers; multiuser channels; decorrelation; adaptive equalisers; cochannel interference

Other keywords: multi-user communication systems; cochannel interference; Hessian information; decorrelation cost; quasi-Newton constant modulus adaptive algorithm; intersymbol interference; convergence properties; weight update equation

Subjects: Communication channel equalisation and identification; Electromagnetic compatibility and interference

References

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      • C.B. Papadias , S. Haykin . (2000) Blind separation of independent sources based on multiuser kurtosis optimizationcriteria, Unsupervised adaptive filtering.
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