2009Unpublished venueRequires access

Look-Up-Table Predistortion Technique Based on Polynomial Nonlinearity Compensation in OFDM Systems

Minjie Gong, Jianguo Yu, Liang He

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Abstract

A novel Look-Up-Table (LUT) predistortion power amplifier (PA) linearizer for OFDM systems is proposed in this paper. To improve conventional LUT linearizer, we employ Polynomial predistortion method to compensate the nonlinearity of PA through a filter. The provided method can speedup the algorithm convergence of LUT while reduce adjacent channel interference (ACI). In addition, hardware requirement of conventional LUT linearizer can also be decreased. The analysis, simulation and measured results are presented to validate the expected performances of the proposed method, a comparison with the conventional LUT linearizer is included.

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What this paper is about

A novel Look-Up-Table (LUT) predistortion power amplifier (PA) linearizer for OFDM systems is proposed in this paper. To improve conventional LUT linearizer, we employ Polynomial predistortion method to compensate the nonlinearity of PA through a filter. The provided method can speedup the algorithm convergence of LUT while reduce adjacent channel interference (ACI). In addition, hardware requirement of conventional LUT linearizer can also be decreased. The analysis, simulation and measured results are presented to validate the expected performances of the proposed method, a comparison with the conventional LUT linearizer is included.

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Available abstract

A novel Look-Up-Table (LUT) predistortion power amplifier (PA) linearizer for OFDM systems is proposed in this paper. To improve conventional LUT linearizer, we employ Polynomial predistortion method to compensate the nonlinearity of PA through a filter. The provided method can speedup the algorithm convergence of LUT while reduce adjacent channel interference (ACI). In addition, hardware requirement of conventional LUT linearizer can also be decreased. The analysis, simulation and measured results are presented to validate the expected performances of the proposed method, a comparison with the conventional LUT linearizer is included.

Key concepts: Linearizer, Predistortion, Lookup table, Amplifier, Computer science, Compensation (psychology), Orthogonal frequency-division multiplexing, Adjacent-channel interference

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