Analysis and comparison of two clipping methods in PAPR reduction for OFDM system
Liang Yao, Jing He, Xinyu Xu
Abstract
Liang Yao, Jing He, Xinyu Xu
Abstract
High PAPR (Peak-to-Average Power) is one of the major drawbacks of OFDM systems. To improve the HPA efficiency and reduce nonlinear distortion, PAPR reduction techniques are used. Various PAPR reduction techniques have been proposed, and clipping based methods are attractive for its simplicity and easy implementation. Clipping based methods generally are iterative. Different clipping method leads to different performance. In this paper, two clipping methods, clipping and enlipping, are analyzed and compared in terms of PAPR, convergent rate and increase of average power. The simulation results show that enlipping can achieve faster convergent rate, but the average power is increased significantly which will incur degradation of overall system performance.
OpenAlex reports 5 citations for this work. Citation counts describe recorded attention and do not establish research quality.
A contribution statement is not available in the OpenAlex record.
Method details are not available in the OpenAlex metadata.
Findings are not separately available in the OpenAlex metadata.
Limitations are not available in the OpenAlex metadata.
Application details are not available in the OpenAlex metadata.
High PAPR (Peak-to-Average Power) is one of the major drawbacks of OFDM systems. To improve the HPA efficiency and reduce nonlinear distortion, PAPR reduction techniques are used. Various PAPR reduction techniques have been proposed, and clipping based methods are attractive for its simplicity and easy implementation. Clipping based methods generally are iterative. Different clipping method leads to different performance. In this paper, two clipping methods, clipping and enlipping, are analyzed and compared in terms of PAPR, convergent rate and increase of average power. The simulation results show that enlipping can achieve faster convergent rate, but the average power is increased significantly which will incur degradation of overall system performance.
Key concepts: Clipping (morphology), Reduction (mathematics), Orthogonal frequency-division multiplexing, Nonlinear distortion, Distortion (music), Computer science, Simplicity, Power (physics)