PAPR Reduction for PCC-OFDM Systems Using Neural Phase Rotator

Masaya OHTA; Hideyuki YAMADA; Katsumi YAMASHITA

doi:10.1093/ietfec/e91-a.1.403

Regular Section

PAPR Reduction for PCC-OFDM Systems Using Neural Phase Rotator

Masaya OHTA, Hideyuki YAMADA, Katsumi YAMASHITA

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Keywords: PCC-OFDM, peak-to-average power ratio, intercarrier interference, neural networks

JOURNAL RESTRICTED ACCESS

2008 Volume E91.A Issue 1 Pages 403-408

DOI https://doi.org/10.1093/ietfec/e91-a.1.403

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Abstract

This paper proposes a novel Orthogonal frequency-division multiplexing (OFDM) system based on polynomial cancellation coded OFDM (PCC-OFDM). This proposed system can reduce peak-to-average power ratio (PAPR) by our neural phase rotator and it does not need any side information to transmit phase rotation factors. Moreover, this system can compensate the common phase error (CPE) by a proposed technique which allows estimating frequency offset at receiver. From numerical experiments, it is shown that our system can reduce PAPR and ICI at the same time and improve BER performance effectively.

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