Paper Info
Title
Tap-length optimization of adaptive filters used in stereophonic acoustic echo cancellation.
Abstract
An adaptive filter with a large number of weights or taps is necessary for stereophonic acoustic echo cancellation (SAEC), depending on the room impulse response and acoustic path where the cancellation is performed. However, a large tap-length results in slow convergence and increases the complexity of the tapped delay line structure for FIR adaptive filters. To overcome this problem, there is a need for an optimum tap-length-estimation algorithm that provides better convergence for the adaptive filters used in SAEC. This paper presents a solution to the problem of balancing convergence and steady-state performance of long length adaptive filters used for SAEC by proposing a new tap-length-optimization algorithm. The optimum tap length and step size of the adaptive filter are derived considering an impulse response with an exponentially-decaying envelope, which models a wide range of acoustic echo paths. The tap-length optimization is applied to a single long adaptive filter with thousands of coefficients to decrease the total number of weights, which in turn reduces the computational load. To further increase the convergence rate, the proposed tap-length-optimization algorithm is applied to an existing multiple sub-filter-based echo canceller, for which we present a convergence analysis. Computer simulations are also presented, comparing the proposed approach with related work. A new tap-length-optimization algorithm for adaptive filters used in stereophonic acoustic echo cancellation is proposed.The proposed algorithm is specifically designed to model an exponentially-decaying envelope in the echo return path.The proposed algorithm is applied to a single long adaptive filter with thousands of coefficients to reduce the computational load.The existing multiple sub-filters-based echo canceller is studied along with the application of proposed variable tap-length algorithm.A convergence analysis for the most advanced sub-filters-based stereophonic acoustic echo cancellation algorithm is presented.
Year
DOI
Venue
2017
10.1016/j.sigpro.2016.09.003
Signal Processing
Keywords
Field
DocType
Adaptive filter,Tap-length,Stereophonic acoustic echo cancellation,Multiple sub-filters,Convergence,Signal-to-noise ratio
Convergence (routing),Impulse response,Control theory,Computer science,Signal-to-noise ratio,Stereophonic sound,Adaptive filter,Rate of convergence
Journal
Volume
Issue
ISSN
131
C
0165-1684
Citations 
PageRank 
References 
1
0.36
13
Authors
2
Name
Order
Citations
PageRank
Asutosh Kar1156.33
M. N. S. Swamy21037135.52