On Fixed-Interval Minimum Symbol Error Probability Detection.
ILLINOIS UNIV AT URBANA COORDINATED SCIENCE LAB
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A channel that introduces intersymbol interference and white gaussian noise is shared by K asynchrouous users that modulate linearly a set of preassigned signal waveforms. In this report an algorithm that implements symbol-by-symbol detection upon observation of an entire data record is derived. The algorithm involves nonlinear operations and the forward and backward processing of the data with linear complexity in the length of the observation record. The computational requirements of the prepared scheme are compared favorably with a single user Viterbi-like minimum BER algorithm recently proposed by Hayes et. al. Author
- Statistics and Probability