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Blind equalization Using ν- support vector regressor for constant modulus signals

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4 Author(s)
Feng Liu ; Inf. Sci. & Technol. Inst., Zhengzhou ; Hu-cheng An ; Jia-Ming Li ; Lin-Dong Ge

The support vector machine has been recently developed for blind equalization of constant modulus signals. In this paper we propose to use a v-support vector regressor (nu-SVR) for blindly equalizing multipath channels because of the high generalization ability of the SVR for short burst sequences. A weighted least square procedure is presented for solving the blind nu-SVR equalizer. The performance of the proposed algorithm is analyzed by means of computer simulations.

Published in:

Neural Networks, 2008. IJCNN 2008. (IEEE World Congress on Computational Intelligence). IEEE International Joint Conference on

Date of Conference:

1-8 June 2008

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