Applications of Data-Selective Adaptive Filters

Markus V. S. Lima, Breno N. Espíndola, Fábio P. Freeland, Paulo S. R. Diniz

DOI: 10.14209/sbrt.2011.158

Evento: XXIX Simpósio Brasileiro de Telecomunicações (SBrT2011)

Keywords: Data-selective adaptive filters Semi-blind equalization OFDM acoustic echo cancellation

Abstract

In this article we discuss the capabilities and importance of data selection mechanisms in real-world tasks. We show how data-selective adaptive filters can be explored in order to improve the performance of communication systems and acoustic echo cancellers. For communications systems we propose a dataselective algorithm for semi-blind equalization in OFDM-based systems employing a QPSK digital modulation scheme that increases in 18% the system throughput, provided a minimum signalto- noise ratio is guaranteed. For the acoustic echo cancellation we propose data-selective algorithms that operate in the frequency domain and allow a significant reduction of the computational burden. The simulation results show that after convergence, these algorithms update only 10% of the filter coefficients.

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