Blind Multi-value Signal Detection with Discrete Hopfield Network
Zhang Zhi · Journal of Nanjing University of Posts and Telecommunications · 2010
The traditional neural network algorithms are limited to two-state neurons and unable to solve the problem of blind multi-value signal detection.Two new algorithms based on discrete Hopfield network(DHNN) are proposed to blindly detect multi-value signals.A discrete 4-level signum-type activation function is constructed.Optimization performance function is constructed to blindly detect signals directly,which does not rely on the second or higher order statistics of the received signals.New weight matrixes and energy function of multi-value DHNN are given.Theoretical proof is given of the stability of multi-value DHNN.Simulation results have shown that the proposed algorithms can converge to the real equilibrium points in a few iterations so that they are applicable to blindly detecting multi-value signals in stochastic channels.