UGC Approved Journal no 63975(19)

ISSN: 2349-5162 | ESTD Year : 2014
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Published in:

Volume 9 Issue 2
February-2022
eISSN: 2349-5162

UGC and ISSN approved 7.95 impact factor UGC Approved Journal no 63975

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Published Paper ID:
JETIR2202151


Registration ID:
320028

Page Number

b452-b458

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Title

Learning-Based BER and PAPR Detection for MIMO Systems using Modified PTS Scheme

Abstract

Orthogonal frequency division multiplexing (OFDM) is one of such popular method for achieving this high information rate. OFDM has several advantages, but one of the main drawbacks is its high peak-to-average power ratio (PAPR). However, the challenging part is that most of the PAPR reduction schemes come with high computational complexity. Recent PAPR reduction techniques such as partial transmit sequence (PTS) has been considered as most popular for PAPR reduction. This research work explores to find a solution for the PAPR reduction by using PTS technique, which has been implemented by using sub-blocks partitioning. In sub-block partition consists of OFDM data frame which is partitioned into several sub-blocks. An adjacent partitioning (AP) method can be perceived as the best of the existing partitioning method when the cost and PAPR reduction performance are considered together. In this paper a new partial transmit sequence (PTS) technique, based on PTS with discrete wavelet transform (DWT) and discrete cosine transform (DCT) technique, for two antennas MIMO-OFDM system, is proposed which can achieve better PAPR performance at much less bit error rate (BER). Simulation results show that the proposed approach can reduce BER and achieve a better PAPR reduction compared to previous PTS technique.

Key Words

PTS, DWT, DCT, MIMO-OFDM, PAPR, BER

Cite This Article

"Learning-Based BER and PAPR Detection for MIMO Systems using Modified PTS Scheme", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.9, Issue 2, page no.b452-b458, February-2022, Available :http://www.jetir.org/papers/JETIR2202151.pdf

ISSN


2349-5162 | Impact Factor 7.95 Calculate by Google Scholar

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 7.95 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Cite This Article

"Learning-Based BER and PAPR Detection for MIMO Systems using Modified PTS Scheme", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.9, Issue 2, page no. ppb452-b458, February-2022, Available at : http://www.jetir.org/papers/JETIR2202151.pdf

Publication Details

Published Paper ID: JETIR2202151
Registration ID: 320028
Published In: Volume 9 | Issue 2 | Year February-2022
DOI (Digital Object Identifier):
Page No: b452-b458
Country: -, -, India .
Area: Engineering
ISSN Number: 2349-5162
Publisher: IJ Publication


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