Robust Reed Solomon code Analysis for use in Deep Space and Mobile Communication Applications

P. Ratna Kamala*, R. V. S. Satyanarayana**
* Professor, Department of Electronics and Communication Engineering, Siddharth Institute of Engineering and Technology, Puttur, AP, India.
** Professor and Head, Department of Electronics and Communication Engineering, Sri Venkateswara University, Tirupati, AP, India.
Periodicity:March - May'2017
DOI : https://doi.org/10.26634/jit.6.2.13573

Abstract

For the past few years, there is an increasing demand for reliable data transmission and storage media. During transmission of data, noisy channels often introduce errors in received information bits. Froward error correction, FEC is one of the methods used to enhance reliability of data transmission. The basic idea of FEC is to systematically add redundancy at the end of the messages so as to enable the correct retrieval of messages despite errors in the received sequences. This eliminates the need for retransmission. Reed Solomon codes are a type of algebraic Forward Error Correction code which is found to be an optimal code for maintaining data integrity during wireless transmission. Modulation techniques used in Wireless communication applications must be robust and at the same time should be bandwidth efficient. Thus, there is a need for the analysis of coding schemes to evaluate the optimal code for use in wireless communication applications. From the analysis of linear block codes, Reed Solomon code with n=255 and k=223 is observed to offer optimal performance. Detailed analysis of this code is done to ensure its use in Deep Space and Mobile communication applications.

Keywords

Modulation, Channel Capacity, Roll-off Factor, Bandwidth Efficiency, Code Rate.

How to Cite this Article?

Kamala, P. R., and Satyanarayana, R. V. S. (2017). Robust Reed Solomon code Analysis for use in Deep Space and Mobile Communication Applications. i-manager’s Journal on Information Technology, 6(2), 22-26. https://doi.org/10.26634/jit.6.2.13573

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