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Proceedings Paper

A new peak-to-average power ratio reduction algorithm for OFDM systems via discrete particle swarm optimization
Author(s): Jing Gao; Jinkuan Wang; Zhibin Xie; Dongmei Yan
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Paper 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.

Paper Details

Date Published: 13 October 2008
PDF: 6 pages
Proc. SPIE 7127, Seventh International Symposium on Instrumentation and Control Technology: Sensors and Instruments, Computer Simulation, and Artificial Intelligence, 712720 (13 October 2008); doi: 10.1117/12.806462
Show Author Affiliations
Jing Gao, Northeastern Univ. (China)
Jinkuan Wang, Northeastern Univ. (China)
Zhibin Xie, Northeastern Univ. (China)
Dongmei Yan, Northeastern Univ. (China)


Published in SPIE Proceedings Vol. 7127:
Seventh International Symposium on Instrumentation and Control Technology: Sensors and Instruments, Computer Simulation, and Artificial Intelligence

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