Reduction of Signal Power Consumption in a Digital Communication using Convolutional Code
Author(s) -
Madan Lal,
Nitesh Kaushik,
Ashok Kumar
Publication year - 2018
Publication title -
international journal of computer applications
Language(s) - English
Resource type - Journals
ISSN - 0975-8887
DOI - 10.5120/ijca2018917040
Subject(s) - computer science , reduction (mathematics) , convolutional code , power consumption , code (set theory) , signal (programming language) , power (physics) , consumption (sociology) , telecommunications , programming language , decoding methods , social science , geometry , mathematics , physics , set (abstract data type) , quantum mechanics , sociology
Error correction codes are used in digital communication system when channel is noisy. An error correction code removes errors induced in communication and make possible error free transmission. By use of such error correction codes signals can be sent at lower transmit power as compared to uncoded system. Convolutional code corrects both type of errors random and burst and used in deep space and wireless communication. This paper introduces convolutional encoders for various code rates and generator polynomials and calculates BER performance for coded and un-coded system. Generator polynomials were selected for code rate 1/2, 1/3, and 1/4 on the basis of BER performance. Signal power consumption gain was calculated by convolutional code as compared to un-coded system. General Terms Digital Communication, Error Control Codes, Signal Power Consumption, Convolutional Codes.
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