DFT-S-OFDM-CC-TR algorithm for joint suppression of peak-to-average ratio

In wireless communication, OFDM signals, as an important form of transmission, need to be converted into analog signals by RF chips before they can be launched into the air for wireless transmission. In this process, in order to ensure that the signal has enough strength to be received by the receiver, it is usually necessary to amplify the signal. However, a significant problem with OFDM signals is that they have a high peak-to-average power ratio (PAPR). When amplifying such high PAPR OFDM signals, due to the limited dynamic range of the power amplifier, the signal easily enters the nonlinear region. Once in this region, it will inevitably cause nonlinear distortion, and this distortion will lead to distortion of the integrated signal, which seriously affects the quality of the signal and the accuracy of the transmission, and brings a negative effect to the performance of the whole integrated system, so it is necessary to suppress the PAPR. DFT - S - OFDM is a technique improved on the basis of OFDM, the core idea of the method is to change the characteristics of the signal by introducing the discrete Fourier transform (DFT) operation in the OFDM signal processing process, so as to effectively reduce the PAPR of the signal. The CC-TR algorithm is a linear PAPR suppression method that does not cause signal distortion. This method processes the OFDM signal by clipping technique and reduces the gap between the peak and average power of the signal to reduce the PAPR. Therefore, in this paper, the DFT-S-OFDM-CC-TR algorithm is used for joint suppression of the peak-to-average ratio.

Authors

Institutions

Publication Details

Published
2024-12-22
DOI
https://doi.org/10.1145/3712335.3712406
Primary Topic
PAPR reduction in OFDM
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

DFT-S-OFDM-CC-TR algorithm for joint suppression of peak-to-average ratio

Zhuang Liang, Sha Sha, Hao Wang
PAPR reduction in OFDM
article

DFT-S-OFDM-CC-TR algorithm for joint suppression of peak-to-average ratio

Zhuang Liang, Sha Sha, Hao Wang
article en

Abstract

In wireless communication, OFDM signals, as an important form of transmission, need to be converted into analog signals by RF chips before they can be launched into the air for wireless transmission. In this process, in order to ensure that the signal has enough strength to be received by the receiver, it is usually necessary to amplify the signal. However, a significant problem with OFDM signals is that they have a high peak-to-average power ratio (PAPR). When amplifying such high PAPR OFDM signals, due to the limited dynamic range of the power amplifier, the signal easily enters the nonlinear region. Once in this region, it will inevitably cause nonlinear distortion, and this distortion will lead to distortion of the integrated signal, which seriously affects the quality of the signal and the accuracy of the transmission, and brings a negative effect to the performance of the whole integrated system, so it is necessary to suppress the PAPR. DFT - S - OFDM is a technique improved on the basis of OFDM, the core idea of the method is to change the characteristics of the signal by introducing the discrete Fourier transform (DFT) operation in the OFDM signal processing process, so as to effectively reduce the PAPR of the signal. The CC-TR algorithm is a linear PAPR suppression method that does not cause signal distortion. This method processes the OFDM signal by clipping technique and reduces the gap between the peak and average power of the signal to reduce the PAPR. Therefore, in this paper, the DFT-S-OFDM-CC-TR algorithm is used for joint suppression of the peak-to-average ratio.

Changchun University of Science and Technology (CN), Changchun Institute of Technology (CN)
Openalex Percentile: Top 75%
PAPR reduction in OFDM
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.