Adaptive equalization using multirate filtering techniques
The authors present a computationally efficient blind equalization architecture that is based on multirate and subband adaptive filtering techniques. The received signal is first partitioned by a filter bank into a set of narrowband frequency bins that are approximately nonoverlapping. The adaptive...
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Format: | Tagungsbericht |
Sprache: | eng |
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Zusammenfassung: | The authors present a computationally efficient blind equalization architecture that is based on multirate and subband adaptive filtering techniques. The received signal is first partitioned by a filter bank into a set of narrowband frequency bins that are approximately nonoverlapping. The adaptive processing is then performed at a lower sampling rate, thus achieving a considerable savings in complexity. Furthermore, the signal power in each frequency bin is normalized to obtain a more uniform convergence rate across the adaptive filter coefficients. The overall convergence rate of the filter is thus dramatically improved compared to that of conventional time- and frequency-domain implementations. Computer simulations of this filter bank equalizer in a multipath environment are presented to illustrate its transient and steady-state convergence properties.< > |
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ISSN: | 1058-6393 2576-2303 |
DOI: | 10.1109/ACSSC.1991.186549 |