Peak to Average Power Ratio Reduction of OFDM Signal by Combining Clipping with Discrete Cosine Transform-II

Navneet Kaur

Peak to Average Power Ratio Reduction of OFDM Signal by Combining Clipping with Discrete Cosine Transform-II

Navneet Kaur * §

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Lovely Professional University,Phagwara,Punjab,India

Peak to Average Power Ratio Reduction of OFDM Signal by Combining Clipping with Discrete Cosine Transform-II

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Abstract

Orthogonal Frequency Division Multiplexing (OFDM) is a very attractive digital transmission method developed to meet the increasing demand for higher data rates in communications which can be used in both wired and wireless environments. OFDM consist of large number of independent subcarriers, as a result of which the amplitude of such a signal can have high peak values. High peak to average power ratio (PAPR) of the transmitted signals is one of the major drawbacks of OFDM. Several approaches exist to reduce PAPR of OFDM symbols. Precoding is a new method which is having less complexity compared to the other power reduction techniques and also it can reduce PAPR considerably and results in no distortion. In this paper, a combination of clipping and precoding technique is proposed to reduce PAPR. The reduction in PAPR of the OFDM signal is obtained through Discrete Cosine Transform-II (DCT) combined with clipping algorithm. The obtained results show that this precoding scheme is an attractive solution to the PAPR problem of OFDM signals. The proposed technique gives good result because the PAPR of precoded clipped signal would be less than that of single precoded signal.

References

21 Cites in Article

Reference Format

M Alard,R Lasalle (1987). Principles of broadcasting for mobile receivers.
J Bingham (1990). Multicarrier modulation for data transmission: An idea whose time has come.
L Cimini (1985). Analysis and Simulation of a Digital Mobile Channel Using Orthogonal Frequency Division Multiplexing.
T Jiang,Y Wu (2008). An Overview: Peak to Average Power Ratio Reduction Techniques for OFDM Signals.
Frank Fiedler,Jonathan Jedwab,Matthew Parker (2008). A Framework for the Construction ofGolay Sequences.
Lin Dong,& Nam,Yul Yu (2011). Peak Power analysis of OFDM Golay Complementary Sequences.
J Davis,J Jedwab (1997). Peak to mean power control and error correction for OFDM transmission using Golay sequences and Reed-Muller codes.
Yen-Wen Huang,Ying Li (2011). 16-QAM Golay complementary sequences with new sequence lengths.
M Park,J Heeyong,J Cho,D Hong,C Kang (2000). PAPR Reduction in OFDM Transmission Using Hadamard Transform.
R Bauml,R Fischer,J Huber (1996). Reducing the Peak to Average Power Ratio of Multicarrier Modulation by Selected Mapping.
H Breiling,S Muller Wein,J Huber (2001). SLM peak power reduction without explicit side information.
S Muller,J Huber (1997). OFDM Ratio by Optimum Combination of Partial Transmit Sequences.
L Cimini,N Sollenberger (2000). Peak-to-average power ratio reduction of an OFDM signal using partial transmit sequences.
N Ahmed,Natarajan,K Rao (1974). Discrete Consine Transform.
M Rohling,T May,K Bruninghaus,R Grunheid (1999). Broad-band OFDM radio transmission for multimedia applications.
T Jiang,Y Wu (2008). An Overview: Peak to Average Power Ratio Reduction Techniques for OFDM Signals.
L Kansal,A Kansal,K Singh (2011). Analysis of Different High Level Modulation Techniques for OFDM System.
L Kansal,A Kansal,K Singh (2011). Performance Analysis of MIMO-OFDM System Using QOSTBC Code Structure for M-PSK.
Navneet Kaur,Lavish Kansal (2013). Peak to Average Power Ratio Reduction of OFDM Signal by Combining Clipping with Walsh Hadamard Transform.
Navneet Kaur,Lavish Kansal (2013). Peak to Average Power Ratio Reduction of OFDM Signal by Combining Clipping with Walsh Hadamard Transform.
Navneet Kaur,Lavish Kansal (2013). Discrete Cosine Transform-II for Reduction in Peak to Average Power Ratio of OFDM Signals Through μ-Law Companding Technique.

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Funding

No external funding was declared for this work.

Conflict of Interest

The authors declare no conflict of interest.

Ethical Approval

No ethics committee approval was required for this article type.

Data Availability

Not applicable for this article.

How to Cite This Article

Navneet Kaur. . "Peak to Average Power Ratio Reduction of OFDM Signal by Combining Clipping with Discrete Cosine Transform-II". Global Journal of Research in Engineering - F: Electrical & Electronic GJRE-F Volume 13 (GJRE Volume 13 Issue F6).

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GJRE Volume 13 Issue F6

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Journal Specifications

Crossref Journal DOI 10.17406/gjre

Print ISSN 0975-5861

e-ISSN 2249-4596

Keywords

CCDF DCT OFDM PAPR PSK QAM

Classification

GJRE-F Classification FOR Code: 090609

Submission ReceivedDecember 14, 2012
Peer Review Double Blind
Handling Editor
Accepted January 1, 2013
Published January 15, 2013

Version of record

v1.2

Language

English

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Article Matrices

Total Score: 102

Country: India

Subject: Global Journal of Research in Engineering

Authors: Navneet Kaur, Lavish Kansal (PhD/Dr. count: 0)

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Publish Date: 2013 01, Tue

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Total Downloads: 423

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