PAPR reduction method based on parametric minimum cross entropy for OFDM signals

Authors:
Yajun Wang;Wen Chen;Chintha Tellambura
Affiliations:
Department of Electronic Engineering, Shanghai Jiaotong University, Shanghai, PRC and State Key Laboratory of Integrated Services Networks;Department of Electronic Engineering, Shanghai Jiaotong University, Shanghai, PRC and SEU SKL for mobile communications;Department of Electrical and Computer Engineering, University of Alberta, Edmonton, Canada
Venue:
IEEE Communications Letters
Year:
2010

Citing 4
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Abstract

The partial transmit sequence (PTS) technique has received much attention in reducing the high peak to average power ratio (PAPR) of orthogonal frequency division multiplexing (OFDM) signals. However, the PTS technique requires an exhaustive search of all combinations of the allowed phase factors, and the search complexity increases exponentially with the number of sub-blocks. In this paper, a novel method based on parametric minimum cross entropy (PMCE) is proposed to search the optimal combination of phase factors. The PMCE algorithm not only reduces the PAPR significantly, but also decreases the computational complexity. The simulation results show that it achieves more or less the same PAPR reduction as that of exhaustive search.