Abstract
A new family of nonlinear equalizers that detect Quadrature Amplitude Modulated (QAM) signals by decomposing the process into a binary decision “cascade” is proposed. First, the quadrant of the symbol is determined; second, we determine which quarter of the chosen quadrant contains our symbol, and so on. We have used two nonlinear architectures to approximate the optimal decision boundaries: a Volterra filter and a Generalized Cerebellar Model Arithmetic Computer. Our analysis demonstrates that bitwise equalizers achieve lower Bit Error Rate (BER) than transversal ones.
This work was partially funded by CICYT, TIC2002-03498
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© 2004 Springer-Verlag Berlin Heidelberg
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Serrano, F.J.G., Ramón, M.M. (2004). Nonlinear Bitwise Equalization. In: de Souza, J.N., Dini, P., Lorenz, P. (eds) Telecommunications and Networking - ICT 2004. ICT 2004. Lecture Notes in Computer Science, vol 3124. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-27824-5_79
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DOI: https://doi.org/10.1007/978-3-540-27824-5_79
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-22571-3
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