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Reseach Article

PAPR Reduction in OFDM System using Wavelet SLM and PTS Technique

by Ajit Singh Rathor, Mukesh Pathela, Sultan Singh Rana
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 98 - Number 19
Year of Publication: 2014
Authors: Ajit Singh Rathor, Mukesh Pathela, Sultan Singh Rana
10.5120/17289-7676

Ajit Singh Rathor, Mukesh Pathela, Sultan Singh Rana . PAPR Reduction in OFDM System using Wavelet SLM and PTS Technique. International Journal of Computer Applications. 98, 19 ( July 2014), 6-11. DOI=10.5120/17289-7676

@article{ 10.5120/17289-7676,
author = { Ajit Singh Rathor, Mukesh Pathela, Sultan Singh Rana },
title = { PAPR Reduction in OFDM System using Wavelet SLM and PTS Technique },
journal = { International Journal of Computer Applications },
issue_date = { July 2014 },
volume = { 98 },
number = { 19 },
month = { July },
year = { 2014 },
issn = { 0975-8887 },
pages = { 6-11 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume98/number19/17289-7676/ },
doi = { 10.5120/17289-7676 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T22:26:35.820852+05:30
%A Ajit Singh Rathor
%A Mukesh Pathela
%A Sultan Singh Rana
%T PAPR Reduction in OFDM System using Wavelet SLM and PTS Technique
%J International Journal of Computer Applications
%@ 0975-8887
%V 98
%N 19
%P 6-11
%D 2014
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Recently researchers have developed many techniques to solve high PAPR problem. These techniques have some merits and demerits. The concentration of this research work is especially upon the Selected Mapping (SLM) and Partial Transmit Sequence (PTS) techniques using Wavelet transforms (IDWT and DWT) instead of conventional Fast Fourier Transforms. The Fourier transform is a powerful tool to analyze the components of stationary signals for example this transform is used to process the signals containing the combination of sine and cosine signals. But the Fourier transform is less useful to analyze the components of non stationary signals. In non stationary signals there is a change in the properties of the signal and these signals are analyzes in real time. The wavelet transform is used to analyze the components of non stationary signals. Using wavelets the filters for stationary and non stationary signals can also be constructed. The mathematics of wavelets is much large in comparison to Fourier transform and this can be said that mathematics of wavelets encompasses the Fourier transform. The size of wavelet theory is matched to the application area. The main difference between these two transforms is the wavelet transform can be localized in both frequency and time domain whereas the Fourier transform can only be localized in frequency [11].

References
  1. Bahubali K. Shiragpur, Yday Wali, Sandeep Bidwai "Novel Technique to Reduce PAPR in OFDM system Using Threshold SLM", 2013 3rd IEEE International Advance Computing Conference (IACC).
  2. B. Venkatesu and Karunaiah. B. "New Approach to Peak to Average Power Ratio Techniques for OFDM signals" International Journal of Artificial Intelligence and Mechatronics (IJAIM), Volume 1, Issue 4, ISSN 2320-5121, 2013.
  3. E. Kalaiselvan, P. Elavarsan and G. Nagarajan "PAPR Reduction of OFDM Signals using Pseudo Random PTS without Side Information", IEEE, International conference on Communication and Signal Processing, April 3-5, 2013, India.
  4. Er. Ankita and Ananad Nayyar "Review of Various PTS Techniques of PAPR Reduction in MIMO OFDM", International Journal of Innovative Technology and Exploring Engineering (IJITEE), ISSN: 2278-3075, Volume -2, Issue-4, and March 2013.
  5. Ibrahim Mohammad Hussain "Low Complexity Partial SLM Technique for PAPR Reductin in OFDM Transmitters", International Journal on Electrical Engineering and Informatics, Volume5, November1, March 2013.
  6. Maan Singh and Vijay Kumar "Signal Scrambling Techniques for PAPR Reduction in OFDM systems", International Journal of Engineering and Computer Science, ISSN: 2319-7242, Volume -2, Issue-1, and Jan 2013.
  7. Navneet Kaur and Lavish Kansal "Peak to Average Power Ratio Reduction of OFDM Signals by Combining Clipping with Walsh Hadamard Transform", International Journal of Wireless and Mobile Networks (IJWMN), Volume -5, No. 1, and Feb. 2013. , Shreyash Des
  8. Yasir Rahmatallah, Member IEEE, Seshadri Mohan, Member IEEE "Peak to Average Power Ratio Reduction in OFDM Systems: A Survey and Texonomy" IEEE Communication Surveys and Tutorials, 2013.
  9. Kamal Singh, Abhinav Dogra, and Gopal Singh Naryal "A New Phase Sequence PAPR Reduction Technique Based on SLM and PTS Techniques" International Journal of IT, Engineering and Applied Science Research (IJIEASR), ISSN: 2319-4413, Volume -1, No. 3, and December 2012.
  10. L. Yang, K. K. Soo, S. Q. Li and Y. M. Siu "PAPR Reduction using Low Complexity PTS to Construct of OFDM Signals without Side Information", IEEE Transactions on Broadcasting, Volume -57, No. 2, and June 2011.
  11. M. Sifuzzaman, M. R. Islam and M. Z. Ali "Application of Wavelet Transform and its Advantage Compare to Fourier Transform", Journal of Physical Science, ISSN: 0972-8791, Volume-13, October 2009.
  12. S. H. Muller and J. B. Huber "A comparison of Peak Power Reduction Schemes for OFDM". In Globecom ' 97, Phoenix, USA, 1997.
Index Terms

Computer Science
Information Sciences

Keywords

Orthogonal Frequency Division Multiplexing Technique (OFDM) Selective Level Mapping (SLM) Partial Transmit Sequence (PTS) Peak to Average Power Ratio (PAPR) Inverse Discrete Wavelet Transform (IDWT) and Discrete Wavelet Transform (DWT).