An analytical solution on for the second order blind identification of two input two output system: Adaptive implementation

An analytical solution on for the second order blind identification of two input two output system: Adaptive implementation

Abdelfettah Meziane Bentahar Meziane Abdeldjalil Aissa-El-Bey Thierry Chonavel Adel Belouchrani 

LDCCP Lab, École nationale polytechnique, Alger, Algérie

IMT Atlantique, UMR CNRS 6285 Lab-STICC, Université Bretagne Loire, F-29238 Brest, France

Corresponding Author Email:
22 July 2014
22 May 2015
31 December 2016
| Citation

This paper proposes a specific adaptive algorithm for the blind identification of a two input two output system. Starting from a closed form solution of the blind identification of the system exploiting the temporal coherence properties of the input sources, we present a simplified adaptive implementation of the ASOBI algorithm (Analytical Second Order Blind Identification) to compute a zero forcing second order blind separator with low complexity. Two adaptive versions are provided. Numerical experiments are presented to assess the performance of the proposed algorithms.


blind source separation, adaptive algorithm, covariance matrix, second order statistics, analytical solution.

1. Introduction
2. Formulation du problème
3. Identification aveugle au second ordre : une solution analytique
4. Séparation aveugle adaptative au second ordre
5. Résultats de simulation
6. Conclusion

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