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Computational Complexity and Peak-to-Average Power Ratio Reduction of OFDM Signals by PTS with Sub –optimum Grouping Phase Weighting Method

by Prashant Pandey, Rajeev Tripathi
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 79 - Number 11
Year of Publication: 2013
Authors: Prashant Pandey, Rajeev Tripathi
10.5120/13783-1728

Prashant Pandey, Rajeev Tripathi . Computational Complexity and Peak-to-Average Power Ratio Reduction of OFDM Signals by PTS with Sub –optimum Grouping Phase Weighting Method. International Journal of Computer Applications. 79, 11 ( October 2013), 6-11. DOI=10.5120/13783-1728

@article{ 10.5120/13783-1728,
author = { Prashant Pandey, Rajeev Tripathi },
title = { Computational Complexity and Peak-to-Average Power Ratio Reduction of OFDM Signals by PTS with Sub –optimum Grouping Phase Weighting Method },
journal = { International Journal of Computer Applications },
issue_date = { October 2013 },
volume = { 79 },
number = { 11 },
month = { October },
year = { 2013 },
issn = { 0975-8887 },
pages = { 6-11 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume79/number11/13783-1728/ },
doi = { 10.5120/13783-1728 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T21:52:43.477998+05:30
%A Prashant Pandey
%A Rajeev Tripathi
%T Computational Complexity and Peak-to-Average Power Ratio Reduction of OFDM Signals by PTS with Sub –optimum Grouping Phase Weighting Method
%J International Journal of Computer Applications
%@ 0975-8887
%V 79
%N 11
%P 6-11
%D 2013
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Partial Transmit Sequence (PTS) is a promising technique to reduce Peak-to-average power ratio (PAPR) of orthogonal frequency division multiplexing (OFDM) signals. However optimum PTS (OPTS) needs exhaustive search over all combinations of allowed phase weighting factors. It results in high computational complexity. Grouping Phase Weighting (GPW) technique is a method which has reduced computational complexity while same PAPR reduction capability as compared to O-PTS. In this paper we propose a novel technique known as Sub-optimum Grouping Phase Weighting (S-GPW) Method which not only reduces the computational complexity but also have an advantage of increment in PAPR reduction performance as compared to Grouping Phase Weighting (GPW) method.

References
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Index Terms

Computer Science
Information Sciences

Keywords

Complementary cumulative distribution function (CCDF) Partial Transmit Sequence (PTS) Peak –to-Average Power Ratio

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