Performance Comparison between Turbo and Polar Codes

Aldrin Claytus Vaz, C. Gurudas Nayak, Dayananda Nayak

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

Channel coding is a vital unit of any communications system. Future wireless systems are necessary to be equipped with high performance codes having low complexity encoder and decoder design. The requirements of these systems range from providing high throughput, operating in highly reliable scenarios, to working with short and long information messages, low and high code rates. To obtain maximum coding gain in wireless communication systems, Turbo codes and Polar Codes are used as error correcting codes. Satellite communication and 4G/5G services widely use these codes. These codes are found to approach Shannon capacity performance. Two recursive systematic convolution encoders separated by an interleaver are used to build a turbo encoder. Polar Codes are constructed on the concept of channel polarization. This work focusses on the Bit Error Rate evaluation and analysis of the codes for varying block lengths and code rates.

Original languageEnglish
Title of host publicationProceedings of the 3rd International Conference on Electronics and Communication and Aerospace Technology, ICECA 2019
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1072-1075
Number of pages4
ISBN (Electronic)9781728101675
DOIs
Publication statusPublished - 06-2019
Event3rd International Conference on Electronics and Communication and Aerospace Technology, ICECA 2019 - Coimbatore, India
Duration: 12-06-201914-06-2019

Publication series

NameProceedings of the 3rd International Conference on Electronics and Communication and Aerospace Technology, ICECA 2019

Conference

Conference3rd International Conference on Electronics and Communication and Aerospace Technology, ICECA 2019
CountryIndia
CityCoimbatore
Period12-06-1914-06-19

All Science Journal Classification (ASJC) codes

  • Aerospace Engineering
  • Electrical and Electronic Engineering
  • Control and Optimization
  • Computer Networks and Communications
  • Signal Processing

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