A new blind fir system estimation method based on genetic algorithm

Wei Gang; Chen Fangjiong

Volume 24 Issue 11

Nov. 2002

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Wei Gang, Chen Fangjiong . A new blind fir system estimation method based on genetic algorithm[J]. Journal of Electronics & Information Technology, 2002, 24(11): 1512-1516.

Citation:

Wei Gang, Chen Fangjiong . A new blind fir system estimation method based on genetic algorithm[J]. Journal of Electronics & Information Technology, 2002, 24(11): 1512-1516.

Wei Gang, Chen Fangjiong . A new blind fir system estimation method based on genetic algorithm[J]. Journal of Electronics & Information Technology, 2002, 24(11): 1512-1516.

Citation:

Wei Gang, Chen Fangjiong . A new blind fir system estimation method based on genetic algorithm[J]. Journal of Electronics & Information Technology, 2002, 24(11): 1512-1516.

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A new blind fir system estimation method based on genetic algorithm

Received Date: 2001-04-02
Rev Recd Date: 2001-10-08
Publish Date: 2002-11-19

Abstract

Abstract

In this paper, a genetic algorithm is proposed for blind FIR system estimation based on a Single-Input-Multiple-Output (SIMO) model. The key proposition is that the parameters are estimated blindly by using a lower-order statistics based cost function thus the computation can be saved. Both the order and parameters of the channel are encoded in one chromosome, thus they can be estimated jointly without assuming the channel order is known. Simulation results show that the algorithm performs better than traditional algorithms.

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References(1)

References

G.B. Giannakis, J. M. Mendel, Identification of nonminimun phase systems using higher order statistics, IEEE Trans. on Acoust., Speech, Signal Processing, 1989, 37(3), 360-377.[2]Li Yong, Han Chongzhao, Dang Yingnong, Nonlinear system identification with genetic algorithms, Proc. of the 3rd World Congress on Intelligent Control and Automation, Hefei P. R.China, vol.1, 2000, 597-601.[3]Yingbo Hua, Fast Maximun likelihood for blind identification of multiple FIR channels, IEEE Trans. on Signal Processing, 1996, 44(3), 661-672.[4]E. Moulines, P. Duhamel, J. Francois, S. Mayargue, Subspace methods for blind identification of multichannel FIR filters, IEEE Trans. on Signal Processing, 1995, 43(2), 516-525.

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