Signal modulus design for blind source separation via algebraic known modulus algorithm: A perturbation perspective

Jwo-Yuh Wu*, Wen Fang Yang, Li-Chun Wang, Ta-Sung Lee

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Scopus citations

Abstract

This brief considers blind signal source separation via algebraic known modulus algorithm. It is shown that through proper signal modulus design the estimation accuracy of the beamforming vector, as well as the performance of signal separation, can be improved. Specifically, based on a matrix perturbation analysis we propose a criterion, in the form of minimizing the maximal singular value of the modulus code matrix, for enhancing robustness of the beamforming vector against measurement noise. A closed-form solution is then derived and its performance is tested through numerical simulation.

Original languageEnglish
Title of host publication2008 IEEE International Symposium on Circuits and Systems, ISCAS 2008
Pages3013-3016
Number of pages4
DOIs
StatePublished - 19 Sep 2008
Event2008 IEEE International Symposium on Circuits and Systems, ISCAS 2008 - Seattle, WA, United States
Duration: 18 May 200821 May 2008

Publication series

NameProceedings - IEEE International Symposium on Circuits and Systems
ISSN (Print)0271-4310

Conference

Conference2008 IEEE International Symposium on Circuits and Systems, ISCAS 2008
CountryUnited States
CitySeattle, WA
Period18/05/0821/05/08

Keywords

  • Algebraic constant modulus algorithm
  • Algebraic known modulus algorithm
  • Blind source separation
  • Condition number

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    Wu, J-Y., Yang, W. F., Wang, L-C., & Lee, T-S. (2008). Signal modulus design for blind source separation via algebraic known modulus algorithm: A perturbation perspective. In 2008 IEEE International Symposium on Circuits and Systems, ISCAS 2008 (pp. 3013-3016). [4542092] (Proceedings - IEEE International Symposium on Circuits and Systems). https://doi.org/10.1109/ISCAS.2008.4542092