An Improved Variable Structure Adaptive Filter Design and Analysis for Acoustic Echo Cancellation
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In this research an advance variable structure adaptive Multiple Sub-Filters (MSF) based algorithm for single channel Acoustic Echo Cancellation (AEC) is proposed and analyzed. This work suggests a new and improved direction to find the optimum tap-length of adaptive filter employed for AEC. The structure adaptation, supported by a tap-length based weight update approach helps the designed echo canceller to maintain a trade-off between the Mean Square Error (MSE) and time taken to attain the steady state MSE. The work done in this paper focuses on replacing the fixed length sub-filters in existing MSF based AEC algorithms which brings refinements in terms of convergence, steady state error and tracking over the single long filter, different error and common error algorithms. A dynamic structure selective coefficient update approach to reduce the structural and computational cost of adaptive design is discussed in context with the proposed algorithm. Simulated results reveal a comparative performance analysis over proposed variable structure multiple sub-filters designs and existing fixed tap-length sub-filters based acoustic echo cancellers.
KeywordsAdaptive filter, acoustic echo cancellation, variable structure design, multiple sub-filters, least mean square, mean square error, convergence.
Document typePeer reviewed
Document versionFinal PDF
SourceRadioengineering. 2015 vol. 24, č. 1, s. 252-261. ISSN 1210-2512
- 2015/1