| 摘要 |
A system and method for optimal maximum a posteriori (MAP) demodulation. The present invention incorporates neural network technology, i.e., a Hopfield network, (1) to replace the function of the traditional, suboptimal phase-locked loop in an FM receiver and/or (2) to optimally estimate a discrete phase value using an expected value (obtained from the mean of the prior probability distribution of the phase) and statistical dependence between different phase values in a block of samples (described by the covariance matrix of the prior phase distribution). The definition of the Hopfield network includes particular bias currents, feedback weights and a sigmoid function for solving the nonlinear integral equation associated with optimal demodulation. The present invention also includes a signal classifier having a plurality of angled modulators for modeling different phase modulation processes.
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