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Method of peak factor reduction with compensation signal in OFDM system using regression for parameter selection

https://doi.org/10.32362/2500-316X-2025-13-6-78-85

EDN: GBSHAL

Abstract

Objectives. The article aims to investigate the authors’ developed peak-to-average power ratio (PAPR) reduction method using an additional compensation signal in orthogonal frequency-division multiplexing (OFDM) systems, employing polynomial regression for method parameter selection.

Methods. The study utilizes statistical radio technique methods and mathematical modeling to approximate the relationship between bit error rate (BER) versus clipping threshold level and number of additional signals using polynomial regression analysis.

Results. We developed an algorithm for parameter selection in the PAPR reduction method with an additional compensation signal for OFDM systems using polynomial regression. This approach enables rapid system performance evaluation without additional computational overhead for mathematical modeling. The method significantly simplifies the optimization of clipping threshold and number of additional signals, eliminating the need for complete simulation cycles for each configuration. Both simulation and analytical calculations confirm that increasing the clipping threshold reduces BER, while increasing the number of additional signals improves clipping accuracy at the cost of higher computational complexity. Optimal parameter selection achieves a compromise between PAPR reduction and signal quality preservation. Furthermore, we established that for a fixed clipping threshold, there exists an optimal number of additional signals providing the best trade-off between error probability and peak value reduction.

Conclusions. An algorithm for selecting the parameters of the clipping method with an additional compensation signal based on polynomial regression has been developed. This algorithm enables real-time evaluation of system characteristics without additional computational costs associated with repeated mathematical modeling. The proposed approach reduces calculation time by more than a factor of five, offering flexibility and adaptability in the design of OFDM systems with PAPR reduction. 

About the Authors

O. V. Tikhonova
MIREA – Russian Technological University
Russian Federation

Olga V. Tikhonova, Dr. Sci. (Eng.), Senior Researcher, Professor, Department of Radio Electronic Systems and Complexes, Institute of Radio Electronics and Informatics 

78, Vernadskogo pr., Moscow, 119454 

Scopus Author ID 57208923772 


Competing Interests:

The authors declare no conflicts of interest.



A. I. Starikovskiy
MIREA – Russian Technological University
Russian Federation

Anatoly I. Starikovskiy, Cand. Sci. (Eng.), Associate Professor, Professor, Department of Radio Electronic Systems and Complexes, Institute of Radio Electronics and Informatics 

78, Vernadskogo pr., Moscow, 119454 

Scopus Author ID 57208926243

ResearcherID AAH-2239-2020 


Competing Interests:

The authors declare no conflicts of interest.



Thanh Tuan Pham
MIREA – Russian Technological University
Russian Federation

Pham Thanh Tuan, Postgraduate Student, Department of Radio Electronic Systems and Complexes, Institute of Radio Electronics and Informatics 

78, Vernadskogo pr., Moscow, 119454 


Competing Interests:

The authors declare no conflicts of interest.



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Review

For citations:


Tikhonova O.V., Starikovskiy A.I., Pham T. Method of peak factor reduction with compensation signal in OFDM system using regression for parameter selection. Russian Technological Journal. 2025;13(6):78–85. https://doi.org/10.32362/2500-316X-2025-13-6-78-85. EDN: GBSHAL

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