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Adaptive ML neural network based receiver for Q2PSK modulated data-transmission systems

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2 Author(s)
Feiz, S. ; Dept. of Electr. Eng., Southern Methodist Univ., Dallas, TX, USA ; Soliman, S.S.

The maximum-likelihood (ML) receiver structure is derived for the detection of digital data symbols transmitted using a four-dimensional signalling scheme in the presence of intersymbol interference and additive white Gaussian noise. The transmitter employs quadrature-quadrature phase-shift keying (Q2PSK) which is a relatively new spectrally efficient modulation scheme and can be considered as two minimum-shift-keying type signalling schemes in parallel. The implementation of this receiver is discussed and an artificial neural network capable of computing the maximum-likelihood estimate of the transmitted sequence is described. Mapping of the derived objective function onto the artificial neural network structure is carried out and a neural network based receiver is presented. Preliminary simulation results are also presented showing promising error rates for several intersymbol interference durations with and without fading

Published in:

Vehicular Technology Conference, 1989, IEEE 39th

Date of Conference:

1-3 May 1989