MIMO INSTANTANEOUS BLIND IDENTIFICATION BASED ON STEEPEST DESCENT METHOD

Shen Xizhong, Hu Dachao, Meng Guang

Abstract

This paper presents a new MIMO instantaneous blind identification algorithm based on second order temporal property and steepest descent method. Second order temporal structure is reformulated in a particular way such that each column of the unknown mixing matrix satisfies a system of nonlinear multivariate homogeneous polynomial equations. The nonlinear system is solved by steepest descent method. We construct a general goal of the system and convert the nonlinear problem into an optimal problem. Our algorithm allows estimating the mixing matrix for scenarios with 4 sources and 3 sensors, etc. Finally, simulations show its effectiveness with more accurate solutions than the algorithm with homotopy method.

References

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Paper Citation


in Harvard Style

Xizhong S., Dachao H. and Guang M. (2009). MIMO INSTANTANEOUS BLIND IDENTIFICATION BASED ON STEEPEST DESCENT METHOD . In Proceedings of the International Conference on Signal Processing and Multimedia Applications - Volume 1: SIGMAP, (ICETE 2009) ISBN 978-989-674-007-8, pages 118-121. DOI: 10.5220/0002185701180121


in Bibtex Style

@conference{sigmap09,
author={Shen Xizhong and Hu Dachao and Meng Guang},
title={MIMO INSTANTANEOUS BLIND IDENTIFICATION BASED ON STEEPEST DESCENT METHOD},
booktitle={Proceedings of the International Conference on Signal Processing and Multimedia Applications - Volume 1: SIGMAP, (ICETE 2009)},
year={2009},
pages={118-121},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0002185701180121},
isbn={978-989-674-007-8},
}


in EndNote Style

TY - CONF
JO - Proceedings of the International Conference on Signal Processing and Multimedia Applications - Volume 1: SIGMAP, (ICETE 2009)
TI - MIMO INSTANTANEOUS BLIND IDENTIFICATION BASED ON STEEPEST DESCENT METHOD
SN - 978-989-674-007-8
AU - Xizhong S.
AU - Dachao H.
AU - Guang M.
PY - 2009
SP - 118
EP - 121
DO - 10.5220/0002185701180121