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Nonlinear adaptive algorithms for equalisation in mobile satellite communications

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Abstract

This paper considers the equalisation problem in Quadrature Phase-Shift Keying (QPSK) modulated signals which have been distorted by the passage through a transmission channel. The channel is modelled as a Rician fading channel to simulate the behaviour of the transmission channel in the mobile satellite context. The equalisation is treated as the generalisation of the channel behaviour, and some algorithms with the structure of an artificial neural network using the Multilayer Perceptron, Volterra Series and Radial Basis Function are described. Results for the BER performance of typical transversal equalisers, with Square-Root Kalman adaptation algorithm, and algorithms with artificial neural network structure are also reported and evaluated. Improved performance is exhibited by the artificial neural network approaches.

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Authors and Affiliations

  1. School of Engineering, Staffordshire University, ST18 0AD, Beaconside, Stafford, UK

    J. Coloma & R. A. Carrasco

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  1. J. Coloma
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  2. R. A. Carrasco
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Coloma, J., Carrasco, R.A. Nonlinear adaptive algorithms for equalisation in mobile satellite communications. Neural Comput & Applic 2, 97–110 (1994). https://doi.org/10.1007/BF01414353

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