Adaptive decision feedback equalizer with dynamic principle for echo cancellation

Adaptive decision feedback equalizer (ADFE) based on Least Mean square algorithm (LMS) has emerged as a novel tool for signal propagation without noise. However, it has the limitation of computational complexity. Since it has been reported that substantial echo cancellation leads to increased system...

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Bibliographic Details
Published in:Transactions of the Institute of Measurement and Control 2018-12, Vol.40 (16), p.4455-4471
Main Authors: Mastan Sharif, SK, Satya Prasad, K, Venkata Rao, D
Format: Article
Language:English
Subjects:
Feedback
First principles
Noise propagation
Signal generation
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Summary:Adaptive decision feedback equalizer (ADFE) based on Least Mean square algorithm (LMS) has emerged as a novel tool for signal propagation without noise. However, it has the limitation of computational complexity. Since it has been reported that substantial echo cancellation leads to increased system quality and capacity, this paper proposes a dynamic LMS-based ADFE (DLMS-ADFE) to cancel the generation of the echo signal. The DLMS-ADFE has two dynamic principles in updating the coefficients. The first principle has varying step-size and the second principle has varying degree and magnitude of the signal. The comparison results show that the DLMS-ADFE is outperforming LMS-ADFE.
ISSN:0142-3312
1477-0369
DOI:10.1177/0142331218755233