A new peak-to-average power ratio reduction algorithm for OFDM systems via discrete particle swarm optimization

Jing Gao; Jinkuan Wang; Zhibin Xie; Dongmei Yan

doi:10.1117/12.806462

13 October 2008 A new peak-to-average power ratio reduction algorithm for OFDM systems via discrete particle swarm optimization

Jing Gao, Jinkuan Wang, Zhibin Xie, Dongmei Yan

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Proceedings Volume 7127, Seventh International Symposium on Instrumentation and Control Technology: Sensors and Instruments, Computer Simulation, and Artificial Intelligence; 712720 (2008) https://doi.org/10.1117/12.806462
Event: Seventh International Symposium on Instrumentation and Control Technology, 2008, Beijing, China

Abstract

The searching phase factors of partial transmit sequence (PTS) algorithm can be formulated as a combinatorial optimization problem with some variables and constrains, thus a modified discrete particle swarm optimization (DPSO) is applied to search the optimal combination of phase factors in this paper. The hamming distance is used to adjust the velocity of particle swarm, which makes the phase factors always move to the best phase factors, thus the orthogonal frequency division multiplexing (OFDM) signals with good peak-to-average power ratio (PAPR) performance can be achieved with low search complexity. To validate the analytical results, some simulations have been conducted, showing that the proposed schemes can achieve good PAPR performance with low computational complexity.

Citation Download Citation

Jing Gao, Jinkuan Wang, Zhibin Xie, and Dongmei Yan "A new peak-to-average power ratio reduction algorithm for OFDM systems via discrete particle swarm optimization", Proc. SPIE 7127, Seventh International Symposium on Instrumentation and Control Technology: Sensors and Instruments, Computer Simulation, and Artificial Intelligence, 712720 (13 October 2008); https://doi.org/10.1117/12.806462

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KEYWORDS

Orthogonal frequency division multiplexing

Particles

Particle swarm optimization

Computer simulations

Monte Carlo methods

Binary data

Particle systems

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