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Adaptive FIR Filtering for PAPR Reduction in OFDM Systems
Hikaru MORITA Teruyuki MIYAJIMA Yoshiki SUGITANI
IEICE TRANSACTIONS on Fundamentals of Electronics, Communications and Computer Sciences
Publication Date: 2019/08/01
Online ISSN: 1745-1337
Type of Manuscript: PAPER
Category: Digital Signal Processing
OFDM, PAPR, p-norm, adaptive algorithm, channel estimation,
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This study proposes a Peak-to-Average Power Ratio (PAPR) reduction method using an adaptive Finite Impulse Response (FIR) filter in Orthogonal Frequency Division Multiplexing systems. At the transmitter, an iterative algorithm that minimizes the p-norm of a transmitted signal vector is used to update the weight coefficients of the FIR filter to reduce PAPR. At the receiver, the FIR filter used at the transmitter is estimated using pilot symbols, and its effect can be compensated for by using an equalizer for proper demodulation. Simulation results show that the proposed method is superior to conventional methods in terms of the PAPR reduction and computational complexity. It also shows that the proposed method has a trade-off between PAPR reduction and bit error rate performance.