Adaptive Affine Combination of Two IPNLMS Filters for Robust Sparse Echo Cancellation

Authors

  • Pogula Rakesh Department of Electronics and Communication Engineering, National Institute of Technology Warangal, 506004 Warangal, India.
  • T. Kishore Kumar Department of Electronics and Communication Engineering, National Institute of Technology Warangal, 506004 Warangal, India.

Keywords:

System Identification, Echo Cancellation, Sparse Echo Path, Proportionate Adaptive Filters, Affine Combination, Convergence Speed, Steady State Error,

Abstract

Conventional adaptive filtering algorithms (LMS, NLMS) are widely used in system identification applications. However, the performance of these algorithms is degraded when the system echo path is sparse in nature as in network and acoustic echo cancellation scenarios. Proportionate-type filters (IPNLMS) are considered as suitable candidate to achieve better performance for sparse echo paths, but they fail to exploit the time varying system sparsity. Moreover, there exists some compromise between their convergence speed and steady-state error. To overcome these limitations, a combination approach of two adaptive filters that combines the output of individual filters through a mixing parameter has been developed. We propose an adaptive affine combination of two IPNLMS filters as a robust solution to alleviate the convergence speed vs steady-state error tradeoff, and to efficiently increase IPNLMS robustness to time varying sparsity of the system. Effectiveness of our proposed affine combination approach has been validated from the MATLAB simulations.

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Published

2017-03-15

How to Cite

Rakesh, P., & Kumar, T. K. (2017). Adaptive Affine Combination of Two IPNLMS Filters for Robust Sparse Echo Cancellation. Journal of Telecommunication, Electronic and Computer Engineering (JTEC), 9(1-3), 35–39. Retrieved from https://jtec.utem.edu.my/jtec/article/view/1739