PERFORMANCE STUDY OF COMMUNICATIONS SYSTEM BASED ON CONVOLUTIONAL CODES

Abstract

In 1948, Claude E. Shannon showed that forward error correction was able to lower the bit error ratio of a numeric transmission as long as the channel capacity does not exceed. This discovery leads to amazing progress in the field of telecommunication and today’s compact–discs, cellular phones, submarines and space probes use error control schemes to make their transmissions reliable.

The forward error correction technique, particularly the convolutional coding was explored in this report. This report aims to design and implementation of the convolutional encoder and decoder in the communication system model. The Communication model is implemented in MATLAB. The model design includes Convolutional Encoding, Viterbi decoding algorithm, Binary phase shift-keying(BPSK) modulation and demodulation, Adaptive white Gaussian noise (AWGN) and Bit error rate (BER) calculation in MATLAB to allow comparison of the simulated result and future understanding of its principles.

This report covers on the objectives of the project, literature review of the convolutional code and principles of communication system and project management aspect. The main focus will be on conceptualization, development, implementation and simulation of the communication system model. Finally, topics such as summary, conclusions, future work, and reflections of this project will also be discussed.