Convolution coding and applications: A performance analysis under AWGN channel

Abstract

The convolutional coding technique is used to encode and decode a continuous stream of bits. The basic concept behind the convolution is the overlapping of two signals to form the other one. Because of the nature of convolution coding technique the binary bit stream source is convolved by applying some binary operations on them. It is a memory based system, which means the output bit is dependent of the current bit being encoded as well as the previous bit stream stored in the memory. This paper proposes the model demonstrating convolutional coding technique with varying AWGN parameters with the implementation aid of MATLAB Simulink and also the encoding and decoding technique used in the application DVB-T (Digital Video Broadcasting-Terrestrial). The Simulink model with Convolution encoder and Viterbi Decoder in the punctured system provides encoding and decoding of high data rate. The puncturing technique uses standard rate one by two encoders and decoders. The main applications of convolution coding is in the deep space applications and in wireless communication systems.