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Suchitra, G.
- Performance Analysis of Reed-Solomon Codes in Digital Communication System using Labview
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Authors
Affiliations
1 Department of Electronics and Communication Engineering, Government College of Technology, Coimbatore, IN
1 Department of Electronics and Communication Engineering, Government College of Technology, Coimbatore, IN
Source
ICTACT Journal on Communication Technology, Vol 11, No 1 (2020), Pagination: 2121-2125Abstract
5G uses various types of access networks and has a high frequency spectrum. At present, there are no mobile handsets that support all spectrum ranges due to limitations of hardware and the expenses involved in the process. This challenge can be addressed with the help of Software Defined Radio (SDR). Universal Software Radio Peripheral (USRP) is a range of software-defined radios and most USRPs connect to a host computer through a high-speed link, which the host-based software uses to control the USRP hardware and transmit/receive data. In general, error occurs during data transmission through different communication channel. These errors can be corrected using Forward Error Correction (FEC) techniques. In this paper, an error correction code named as Reed-Solomon (RS) code, which is suitable for correcting burst error is presented. Further, a Simulation module in LabVIEW for RS Codes using MSK modulation scheme through AWGN channel is presented and its Bit Error Rate (BER) performance for codes such as RS (32,16), RS (127,111) and RS (255,239) are evaluated.Keywords
AWGN, BER, FEC, LabVIEW, Modulation, RS Code, SDR, SNR.
References
- Z. Yuan and X. Zhao, “Introduction to Forward Error Correction and its Application”, Proceedings of 2nd International Conference on Consumer Electronics, Communications and Networks, pp. 1-7, 2012.
- W.W. Peterson and E.J. Weldon, “Error Correcting Codes”, 2nd Edition, MIT Press, 1972.
- B. Sklar and F.J. Harris, “Digital Communications-Fundamentals and Applications”, Prentice Hall, 1998.
- Frederic J. Harris, “Software Defined Radio”, Proceedings of International Conference on Signals and Electronic Systems, pp. 321-338, 2008.
- K. Kyungsu, O. Ilhyuk, K. Dongkuk and J. Byung Gi, “Improving Performance of Reed-Solomon Decoder by Error/Erasure Correction”, Proceedings of International Symposium on Signal Processing and Information Technology, pp. 444-457, 2011.
- W. Zhan, J.R. Porter and J.A. Morgan, “Experiential Learning of Digital Communication using LabVIEW”, IEEE Transactions on Education, Vol. 57, No. 1, pp. 34-41, 2014.
- S.B. Wicker and V.K. Bhargava, “Reed-Solomon Codes and Their Application”, IEEE Press, 1983.
- F.J. Mac Williams and N.J.A. Sloane, “The Theory of Error Correcting Codes, Part I”, North-Holland Publishing Company, 1977.
- K. Satyanarayana Reddy and S. Neethu, “Analysis and Implementation of Reed-Solomon Codes for Forward Error Correction using LabVIEW”, International Research Journal of Engineering and Technology, Vol. 3, No. 12, pp. 1057-1065, 2016.
- D.S. Suresh, K.P. Vidyarani, R. Sekar and D.V. Shalini, “Implementation of Digital Modulation Scheme using LabVIEW: An Easy and Interactive Approach”, Proceedings of International Conference on Power, Controls, Signals and Instrumentation Engineering, pp. 1-6, 2017.
- Cathy Y. Liu and Shu Lin, “Turbo Encoding and Decoding of Reed-Solomon Codes through Binary Decomposition and Self-Concatenation”, IEEE Transactions on Communications, Vol. 52, No. 9, pp. 1484-1493, 2004.
- C.K.P. Clarke, “Reed Solomon Error Correction”, White Paper, Research and Development, British Broadcasting Corporation, pp. 1-47, 2002.
- Performance Analysis of a Convolutional Encoder using Digital Modulation Technique
Abstract Views :143 |
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Authors
S. Madumitha
1,
G. Suchitra
1
Affiliations
1 Department of Electronics and Communication Engineering, Government College of Technology, Coimbatore, IN
1 Department of Electronics and Communication Engineering, Government College of Technology, Coimbatore, IN
Source
ICTACT Journal on Communication Technology, Vol 11, No 1 (2020), Pagination: 2153-2158Abstract
The challenges in 5G is to provide a tradeoff between Bit Error Rate (BER) and high data rate. Forward Error Correction is one of the prominent techniques to correct both random and burst errors. A Software-Defined Radio (SDR) is the device used in the area of radio communication system where the key parts of its functionality are performed by means of software. Such a design makes SDR to be used in ubiquitous network environments because of its flexibility and programmability. NI USRP 2954R provides an integrated hardware and software solution, operates at a frequency of 10MHz to 6GHz, and is used for rapidly prototyping high-performance wireless communication systems such as 5G technology. The software simulator of the SDR transceiver is designed using NI LabVIEW which is a graphical programming language developed by National instruments. In this paper, the performance of convolution encoder is simulated in NI LabVIEW and analysed for various modulation schemes such as Binary Phase Shift Keying (BPSK) and Quadrature Amplitude Modulation (QAM). The parameters of the convolution encoder such as constraint length and code rate are varied in BPSK modulation and corresponding variations in BER are analysed. From the result it is concluded that transmission with convolution coding provides better result than uncoded transmission and it is also concluded that BER decreases with increase in constraint length (3, 5, 6, 7) and it is observed that for lower code rate BER is better.Keywords
Software Defined Radio, BER, Binary Phase Shift Keying, Quadrature Amplitude Modulation, Signal-To-Noise Ratio.References
- V. Kavinilavu, S. Salivahanan and V.S. Kanchana Bhaaskaran, “Implementation of Convolutional Encoder and Viterbi Decoder using Verilog HDL”, Proceedings of 3rd International Conference on Electronics Computer Technology, pp. 1-7,2011
- R Avudaiammal, “Information Coding Techniques”, 2nd Edition, Tata McGraw Hill, 2010.
- Zheng Yuan and Xinchen Zhao, “Introduction of Forward Error Correction and its Application”, Proceedings of 2nd IEEE International Conference on Consumer Electronics, Communication and Networks, pp. 3288-3291, 2012.
- Deepa Kumari and Madan Lal Saini, “Design and Performance Analysis of Convolutional Encoder and Viterbi Decoder for Various Generator Polynomials”, International Journal of Engineering Research and Applications, Vol. 6, No. 5, pp. 67-71, 2016.
- D. Sinha, A. Verma and S. Kumar, “Software Defined Radio: Operation, Challenges and Possible Solutions”, Proceedings of International Conference on Intelligent Systems and Control, pp. 1-5, 2016.
- P.S. Kamble and B. Godbole, “A Review Paper on Software Defined Radio”, International Journal of Emerging Technologies and Innovative Research, Vol. 3, No. 6, pp. 336-340, 2016.
- C. Codau, A. Voina, A. Pastrav and E. Puschita, “Experimental Evaluation of the IEEE 802.11ac Standard using NI USRP 2954R”, Proceedings of International Conference on Networking in Education and Research, pp. 1-6, 2017.
- MIT Draft Lecture Notes, “Lecture 8: Convolution Coding”, Available at: http://web.mit.edu/6.02/www/s2010/handouts/lectures/L8-notes.pdf.
- Semardeep Dhaliwal, Navdeep Singh and Gagandeep Kaur, “Performance Analysis of Convolutional Code Over Different Code Rates and Constraint Length in Wireless Communication”, Proceedings of International Conference on IoT in Social, Mobile, Analytics and Cloud, pp. 112-119, 2017.
- Wireless Information Transmission System Lab, “Example of Convolutional Codes”, Available at: http://apwcs2014.nsysu.edu.tw/course/pdfdownload/CC-ConvolutionalCode.pdf.
- R.W. Hamming, “Error Detecting and Correcting Codes”, Bell System Technical Journal, Vol. 29, No. 2, pp. 794-807, 2010.
- Anaparthi Sunanda and Susmitha Remmanapudi, “VLSI Implementation of Efficient Convolutional Encoder and Modified Viterbi Decoder”, International Journal for Research in Applied Science and Engineering Technology, Vol. 4, No. 2, pp. 21-32, 2014.
- G.D. Forney, “The Viterbi Algorithm”, Proceedings of the IEEE, Vol. 61, No. 3, pp. 268-278, 1973.
- N. Marriwala, O.P. Sahu and A. Vohra, “LabVIEW Based Design Implementation of M-PSK Transceiver using Multiple Forward Error Correction Coding Technique for Software Defined Radio Applications”, Journal of Electrical and Electronic Engineering, Vol. 2, No. 4, pp. 55-63, 2014.