| 摘要 |
The invention relates to a method for MAP decoding of a signal received through a noisy channel. The signal is made up of alphabet symbols having non-uniform probability distribution. The symbols are represented by points from a point array (Λ). The probability distribution of the symbols is approximated by a Gaussian distribution. An expanded point array (Λaug) is constructed from the point array (Λ) and the ratio (β) between the noise variance and the variance in Gaussian distribution of the symbols. The proposed MAP decoding method then goes back to carrying out decoding according to ML criteria by searching for the point, from the expanded array, that is nearest to a point representing the received signal (yaug). |
