DOI QR코드

DOI QR Code

Generalized Robust Multichannel Frequency-Domain LMS Algorithms for Blind Channel Identification

  • Chung, Ik-Joo (Department of Electronics Engineering, Kangwon National University) ;
  • Clements, Mark A. (School of Electrical and Computer Engineering, Georgia Institute of Technology)
  • Received : 2011.03.21
  • Accepted : 2011.06.10
  • Published : 2012.02.01

Abstract

Recently, several noise-robust adaptive multichannel LMS algorithms have been proposed based on the spectral flatness of the estimated channel coefficients in the presence of additive noise. In this work, we propose a general form for the algorithms that integrates the existing algorithms into a common framework. Computer simulation results are presented and demonstrate that a new proposed algorithm gives better performance compared to existing algorithms in noisy environments.

Keywords

References

  1. Y. Huang and J. Benesty, "Adaptive Multi-channel Least Mean Square and Newton Algorithms for Blind Channel Identification," Signal Process., vol. 82, no. 8, Aug. 2002, pp. 1127-1138.
  2. Y. Huang and J. Benesty, "A Class of Frequency-Domain Adaptive Approaches to Blind Multichannel Identification," IEEE Trans. Signal Process., vol. 51, no. 1, Jan. 2003, pp. 11-24.
  3. M.K. Hasan et al., "Improving Robustness of Blind Adaptive Multichannel Identification Algorithms Using Constraints," Proc. European Signal Process. Conf., vol. 1, 2005, pp 11-14.
  4. M.A. Haque and M.K. Hasan, "Variable Step-Size Multichannel Frequency-Domain LMS Algorithm for Blind Identification of Finite Impulse Response Systems," IET Signal Process., vol. 1, no. 4, 2007, pp. 182-189.
  5. M.A. Haque and M.K. Hasan, "Robust Multichannel Least Mean Square-Type Algorithms with Fast Decaying Transient for Blind Identification of Acoustic Channels," IET Signal Process., vol. 2, no. 4, 2008, pp. 431-441.
  6. M.A. Haque and M.K. Hasan, "Noise Robust Multichannel Frequency-Domain LMS Algorithms for Blind Channel Identification," IEEE Signal Process. Lett., vol. 15, 2008, pp. 305- 308.
  7. M.A. Haque and M.K. Hasan, Matlab Simulation Code. http://teacher.buet.ac.bd/arifulhoque/publications.htm
  8. M.A. Haque et al., "Energy Constrained Frequency-Domain Normalized LMS Algorithm for Blind Channel Identification," J. Signal, Image, Video Process., vol. 1, no. 7, Apr. 2007, pp. 203- 213.
  9. D.R. Morgan, J. Benesty, and M.M. Sondhi, "On the Evaluation of Estimated Impulse Responses," IEEE Signal Process. Lett., vol. 5, no. 7, July 1998, pp. 174-176.