Volume 18 No 10 (2020)
Download PDF
Design and VLSI Implementation of Hybrid LDPC-STBC Codes for Enhanced Data Transmission in Satellite Communications
Bandari Nithya, Kunsoth Umarani, Bandari Srilekha
Abstract
Satellite communication systems play a crucial part in promoting worldwide connection. As a result, the development of robust error correction codes is required in order to guarantee the transfer of data in a reliable manner. As a result of the desire for larger data rates and improved spectral efficiency in modern communication networks, new error correction algorithms have been incorporated into these systems. On the other hand, existing systems frequently struggle to find a balance between the complexity of their operation, the amount of power they consume, and their overall performance. The purpose of this work is to solve the constraints of existing systems by putting forward a hybrid solution that combines the benefits of LDPC (Low-Density Parity-Check) codes with STBC (Space-Time Block Coding) approaches. In order to improve the error correction capabilities of satellite communication systems and guarantee reliable data transmission even when channel impairments are present, the hybrid LDPC-STBC codes have been developed. In spite of the progress that has been made in error correction coding, the systems that are currently in use have significant shortcomings. These downsides include increased computational complexity, higher power consumption, and the possibility of performance loss under adverse channel circumstances. These problems are alleviated by the hybrid LDPC-STBC codes that have been devised. These codes take advantage of the advantages that both coding schemes offer, so establishing a synergistic balance between the performance of error correction and the efficiency of computing.
Keywords
Space-Time Block Coding, Low-Density Parity-Check, Error Correction Codes, Very Large-Scale Integration.
Copyright
Copyright © Neuroquantology
Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.
Articles published in the Neuroquantology are available under Creative Commons Attribution Non-Commercial No Derivatives Licence (CC BY-NC-ND 4.0). Authors retain copyright in their work and grant IJECSE right of first publication under CC BY-NC-ND 4.0. Users have the right to read, download, copy, distribute, print, search, or link to the full texts of articles in this journal, and to use them for any other lawful purpose.