Error correction system using ART-1

摘要

In digital communication, Convolutional encoder is widely used for error correcting of data which transmitted through the noisy channel. The Viterbi decoder is used for decoding Convolutional encoded data. Viterbi decoding consists of computing the metric for two paths in the Trellis diagram and eliminating one which is of higher value. A peculiar situation arises when two metrics have the same value. In this case, the decoder selects an arbitrary bit. This ambiguous situation is eliminated using neural network. The Adaptive Resonance Theory-1 (ART-1) has been developed to avoid the stability-plasticity dilemma in competitive networks learning. The stability-plasticity dilemma addresses how a learning system can preserve its previously learned knowledge while keeping its ability to learn new patterns. The Convolutional encoder has been designed using Shift register, mod-2 adders and a commutator. It is interfaced with the Personal Computer through the Centronic port for decoding. The ART-1 algorithm has been implemented in "C" Language. The ART-1 based decoding program decodes the encoded data from the Convolutional encoder. The output of ART-1 based decoder exactly matches the data input to the encoder.