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Extended complex RBF and its application to M-QAM in presence of co-channel interference

Extended complex RBF and its application to M-QAM in presence of co-channel interference

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An extended complex radial basis function (CRBF) network is proposed for the equalisation of a 4-QAM digital communication channel in the presence of additive white Gaussian noise and co-channel interference. The proposed model has complex valued regression weights in the output layer, and the hidden unit is defined by a real valued Gaussian formula with Mahalanobis distance. It is shown by simulation that the proposed structure gives reduced computational complexity without leading to a degradation in performance.

References

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      • A. Hussain . A new adaptive functional-link neural-network-based DFE for overcomingco-channel interference. IEEE Trans. , 11 , 1358 - 1362
    2. 2)
      • S. Chen , B. Mulgrew . Overcoming co-channel interference using an adaptive radial basis functionequaliser. Sig. Process. , 1 , 91 - 107
    3. 3)
      • K.Y. Lee , S. Jung . Extended adaptive RBF equaliser for overcoming co-channel interference. Electron. Lett. , 16 , 1567 - 1568
    4. 4)
      • S. Chen , B. McLaughlin , B. Mulgrew . Complex-valued RBF network, Part II: Application to digital communicationchannel equalization. Sig. Process. , 1 , 175 - 188
    5. 5)
      • S. Haykin . (1996) Adaptive filter theory.
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