A combined approach of MBAP/PR PAPR reduction and polynomial predistortion for performance enhancement

Authors:
Li-Chung Chang;Chung-Ho Yang
Affiliations:
Department of Electrical Engineering, National Taiwan University of Science and Technology, Taipei, Taiwan;Department of Electrical Engineering, National Taiwan University of Science and Technology, Taipei, Taiwan
Venue:
ICICS'09 Proceedings of the 7th international conference on Information, communications and signal processing
Year:
2009

Citing 2
Cited 0

An overview of peak-to-average power ratio reduction techniques for multicarrier transmission

IEEE Wireless Communications
Metric-Based Symbol Predistortion Techniques for Peak Power Reduction in OFDM Systems

IEEE Transactions on Wireless Communications

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Abstract

Orthogonal frequency division multiplexing (OFDM) has become a key modulation format in wireless communications. Its inherent high peak to average power ratio (PAPR) severely limits the power efficiency of the operating power amplifier to alleviate nonlinear distortion effects. PAPR reduction and PA linearization have both been extensively studied to deal with this important issue. In this paper, we propose a new approach which combines the metric based amplitude predistortion (MBAP) / phase reversal (PR) PAPR reduction scheme and memory polynomial predistorter (MPPD) with indirect learning (IDL) architecture. A comparative study of performance of different combinations using a Wiener power amplifier model is presented in terms of both total degradation (TD) and power spectral density (PSD). Simulation results indicate that our proposed combination approach can effectively improve the performance. In particular, MPPD with PR is the best one.