Paper
18 November 2024 Soft-limiting PAPR suppression for reducing companding loss power in OTFS systems
Xurong Sun, Zhanjun Jiang
Author Affiliations +
Proceedings Volume 13398, Fourth International Conference on Optics and Communication Technology (ICOCT 2024); 133980X (2024) https://doi.org/10.1117/12.3049696
Event: Fourth International Conference on Optics and Communication Technology (ICOCT 2024), 2024, Nanjing, China
Abstract
In orthogonal time-frequency-space (OTFS) systems, when peak average power ratio (PAPR) is suppressed through companding operation, errors in the signal probability density function design cause noise in the companding processes, increasing the loss power in both processes. The signal amplitude is reconstructed in this study by converting the probability density function of the original signal into a probability distribution function with a finite distribution. The algorithm uses the rotating factor to preprocess the signal, completes the reconstruction of the signal distribution through the global search method, and uses the average power conservation before and after companding operation as the criterion to determine the companding demarcation point. This is based on the principle of minimising the companding loss power, according to the difference of correlation of different grouping methods, and completes the signal compression and expansion processing. The analysis results show that the proposed algorithm can effectively suppress PAPR while ensuring the BER performance of the system.
(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.
Xurong Sun and Zhanjun Jiang "Soft-limiting PAPR suppression for reducing companding loss power in OTFS systems", Proc. SPIE 13398, Fourth International Conference on Optics and Communication Technology (ICOCT 2024), 133980X (18 November 2024); https://doi.org/10.1117/12.3049696
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KEYWORDS
Signal attenuation

Signal processing

Distortion

Interference (communication)

Reconstruction algorithms

Signal to noise ratio

Time-frequency analysis

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