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
- Zhuang Liang
- Sha Sha
- Hao Wang (ORCID: https://orcid.org/0009-0003-4710-9249)
Institutions
- Changchun University of Science and Technology (CN)
- Changchun Institute of Technology (CN)
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