Open Access Open Access  Restricted Access Subscription Access
Open Access Open Access Open Access  Restricted Access Restricted Access Subscription Access

Performance Analysis of a Convolutional Encoder using Digital Modulation Technique


Affiliations
1 Department of Electronics and Communication Engineering, Government College of Technology, Coimbatore, India
     

   Subscribe/Renew Journal


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.
Subscription Login to verify subscription
User
Notifications
Font Size

  • 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.

Abstract Views: 229

PDF Views: 0




  • Performance Analysis of a Convolutional Encoder using Digital Modulation Technique

Abstract Views: 229  |  PDF Views: 0

Authors

S. Madumitha
Department of Electronics and Communication Engineering, Government College of Technology, Coimbatore, India
G. Suchitra
Department of Electronics and Communication Engineering, Government College of Technology, Coimbatore, India

Abstract


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