New normalized constant modulus algorithms with relaxation

New normalized constant modulus algorithms with relaxation

A new normalized constant modulus algorithm is proposed that has a more desirable error performance surface (EPS) than the existing constant modulus blind equalization algorithms. We show that for an autoregressive channel, a well-known class of undesirable local solutions (ULSs) does not exist. The...

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Veröffentlicht in:IEEE signal processing letters 1997-09, Vol.4 (9), p.256-258
Hauptverfasser: Tanrikulu, O., Constantinides, A.G., Chambers, J.A.
Format: Artikel
Sprache:eng
Schlagworte:
Adaptive equalizers
Adaptive filters
Baseband
Biomedical imaging
Blind equalizers
Convergence
Differential equations
Filtering algorithms
Lagrangian functions
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Zusammenfassung:A new normalized constant modulus algorithm is proposed that has a more desirable error performance surface (EPS) than the existing constant modulus blind equalization algorithms. We show that for an autoregressive channel, a well-known class of undesirable local solutions (ULSs) does not exist. The EPSs and convergence of the parameters are shown for a number of channels for which well-known algorithms are known to possess ULSs.
ISSN:1070-9908
1558-2361
DOI:10.1109/97.623042