ICA based adaptive disturbance cancellation for MIMO system with unknown dynamics

2006 SICE-ICASE International Joint Conference

Volumn , Issue , 2006, Pages 4473-4478

  Even, Jani ^a   Sugimoto, Kenji ^a  

^a NARA INSTITUTE OF SCIENCE AND TECHNOLOGY   (Japan)

Author keywords

Adaptive system; Disturbance cancellation; Independent component analysis

Indexed keywords

DISTURBANCE CANCELLATION; DISTURBANCE CONTRIBUTION; SYSTEM DYNAMICS;

ADAPTIVE SYSTEMS; INDEPENDENT COMPONENT ANALYSIS; INTERFERENCE SUPPRESSION;

COMMUNICATION SYSTEMS;

EID: 34250773942     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/SICE.2006.315030     Document Type: Conference Paper

References (12)

1. Darmois. G. Analyse générale des liaisons stochastiques. Rev. Inst. Internat. Stat, 1953; 21:2-8.
2. Benveniste A., Goursat M., Ruget G. Robust identification of a non-minimum phase system. IEEE Trans. Auto. Control, 1980; 3(25):385-399.
3. Donoho. D. On minimum entropy deconvolution. Proceedings of the second Applied Time Series Symposium, 1981; 565-608.
4. Shalvi O., Weinstein E. New criteria for blind deconvolution of non-minimum phase systems. IEEE Trans. Inf. Theory, 1990; 36(2):312-321.
5. Comon. P. Independent component analysis, a new concept ? Signal Processing, Elsevier, 1994; 36(3):287-314.
6. De Lathauwer L., Callaerts D., De Moor J., Vandevalle J. Fetal electrocardiogram extraction by source subspace separation. IEEE SP ATHOS Workshop on HOS, Girona, Spain, June 12-14, 1995; 134-138.
7. Swindlehurst A., Goris M., Ottersen B. Some experiments with array data collected in actual urban and suburban environments. IEEE workshop on Signal Processing Advances in Wireless Communications, 1997; 301-304.
8. Zhang L, Cichocki A. Blind deconvolution of dynamical system: A state space approach (invited paper). Journal of Signal Processing, 2000; 4(2):111-130.
9. Amari S., Chen T.P., Cichocki A. Non-holonomic constraints in learning algorithms for blind source separation. Neural Computation, 2000; 12:1463-1484.
10. Joho M, Mathis H, Moschitz GS. Combined blind/nonblind source separation based on the natural gradient. IEEE Signal Processing Letters, 2001; 8(8):236-238.
11. Cichocki A., Amari S. Adaptive Blind Signal and Image Processing : Learning Algorithms and Applications. (2nd edn), Wiley: Chichester, 2003.
12. ∞ feedback. IFAC Workshop on Adaptation and Learning in Control and Signal Processing, Yokohama, Japan, 2004;