MAP DECODING METHOD BY INCREASED POINT NETWORK

摘要

The invention relates to a MAP decoding method of a signal received through a noisy channel, the signal being composed of symbols in an alphabet having a non-uniform probability distribution, the symbols being represented by points in a lattice (Λ). The probability distribution of symbols is modeled using a Gaussian distribution. An augmented lattice (Λexp) is formed from the lattice (Λ) and the ratio (β) between variance of the noise and variance of the Gaussian distribution of symbols. Therefore, the disclosed MAP decoding method consists essentially of decoding using an ML criterion searching the point in the augmented lattice closest to the point representative of the received signal (yexp).